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Journal articles on the topic 'Determinant of price'
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1
Bobinaite, Viktorija, and Jānis Zuters. "Modelling Electricity Price Expectations in a Day-Ahead Market: A Case of Latvia." Economics and Business 29, no. 1 (2016): 12–26. http://dx.doi.org/10.1515/eb-2016-0017.
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AbstractThe paper aims at modelling the electricity generator’s expectations about price development in the Latvian day-ahead electricity market. Correlation and sensitivity analysis methods are used to identify the key determinants of electricity price expectations. A neural network approach is employed to model electricity price expectations. The research results demonstrate that electricity price expectations depend on the historical electricity prices. The price a day ago is the key determinant of price expectations and the importance of the lagged prices reduces as the time backwards lengthens. Nine models of electricity price expectations are prepared for different natural seasons and types of the day. The forecast accuracy of models varies from high to low, since errors are 7.02 % to 59.23 %. The forecasting power of models for weekends is reduced; therefore, additional determinants of electricity price expectations should be considered in the models and advanced input selection algorithms should be applied in future research. Electricity price expectations affect the generator’s loss through the production decisions, which are made considering the expected (forecasted) prices. The models allow making the production decision at a sufficient level of accuracy.
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Putra, Hadi Arisyah, Chenny Seftarita, and Suriani Suriani. "Determinants of Price Fluctuation for Cooking Oil Commodity in Aceh Province, Indonesia." International Journal of Business, Economics, and Social Development 2, no. 3 (2021): 113–18. http://dx.doi.org/10.46336/ijbesd.v2i3.158.
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Aceh Province is still one of the regions in Indonesia whose primary commodities are still largely dependent on other regions that can cause uncontrolled fluctuations in the price especially cooking oil product. One step to overcome these problems is to make accurate price fluctuation predictions so preventive actions can be taken to minimize error estimation of these fluctuations so appropriate policies can be applied. This study focuses on analyzing of forecasting fluctuations in cooking oil prices and the influence of its determinants in the Aceh Province, Indonesia. Price forecasting uses the Autoregressive Integrated Moving Average (ARIMA) approach and determinant estimation uses the Ordinary Least Square (OLS) method. The data used in this study is time-series monthly data from January 2016 to December 2020 from Statistics Indonesia publication. The results of price forecasting show that the monthly price of cooking oil for 2021 and 2022 tends to increase. In early 2021, it is predicted that the price of cooking oil will be in the range of IDR14,500/kg and at the end of the year and early 2022 it is predicted to touch the price range of IDR15,500/kg. Then at the end of 2022 it is predicted that the price of cooking oil will reach IDR17,000/kg. Furthermore, the results of the econometric estimation show that all of the variable determinants have a significant effect on cooking oil prices fluctuations. The variable price of raw materials and the price index received by farmers were found to have a positive effect, while the rainfall variable was found to have a negative effect on cooking oil price fluctuation. According to these findings, it is hoped that the Aceh Provincial Government will be able to take strategic policies on the predicted prices and determinant of variables that have been proven to have a significant effect on cooking oil prices so in the future price fluctuations can be more stable and supply of goods can be maintained, as well as increase the competitiveness of provincial agricultural products.
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Cunha, António M., and Ricardo Loureiro. "Housing price dynamics and elasticities: Portugal's conundrum." National Accounting Review 6, no. 1 (2024): 75–94. http://dx.doi.org/10.3934/nar.2024004.
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<abstract> <p>We aimed to estimate the housing price determinants and elasticities in Portugal's metropolitan areas to help understand the dynamics of the abnormal price increase of the last decade, one of the highest in Europe and the World.</p> <p>We followed a three-step methodology applying panel data and time series regression estimation. First, we estimated the determinants of housing prices at the national and metropolitan area levels. Second, we split the sample by coastal and inner metropolitan areas and estimated the determinants of housing prices and the supply elasticities of each group. Third, we estimated the correlations between housing price growth and elasticities to find whether these determinants correlate.</p> <p>The results showed that at the national level, housing prices are inelastic to aggregate income (0.112). <italic>Momentum</italic> is the most significant determinant of housing prices (0.760). At the metropolitan areas level, we found an inelastic housing supply, a price-to-income elasticity close to zero, and a more inelastic supply in coastal areas. We found no significant correlation between housing price growth, price-to-income, and supply elasticity. The coastal areas registered housing price growth and a <italic>momentum</italic> effect much higher than the inner areas, suggesting the existence of dynamic speculative forces that cause prices to move beyond what can be explained by equilibrium models.</p> <p>The present study contributes to the literature on housing price dynamics by showing that the conventional equilibrium stock-flow model does not explain the increase in Portugal's current housing prices, suggesting that other forces (such as economic uncertainty and sentiment) determine the housing price dynamics. The explanation for the housing price growth in Portugal is a <italic>conundrum</italic>. We believe this knowledge can help define better housing policies at the local and national levels.</p> </abstract>
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Ismaya, Bambang Indra, and Donni Fajar Anugrah. "DETERMINANT OF FOOD INFLATION." Buletin Ekonomi Moneter dan Perbankan 21, no. 1 (2018): 81–94. http://dx.doi.org/10.21098/bemp.v21i1.926.
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In this paper, we investigate the determinants of food inflation in Indonesia by applying General Method of Moments (GMM). The period of quarterly data is 2008:Q1 to 2017:Q4. The empirical finding of this study shows that backward-looking and forward-looking expectations have a strong impact on food inflation. Also, this study provided evidences that the determinants general food price inflation, such as food production, agriculture sector output, infrastructure, food import, agriculture sector credit, demand level (M1/consumption), and seasonal event (Eid Mubarak) are highly significant. Backward-looking and forward-looking expectations, domestic oil price, and level of demand have been a contributor toward high food price while the factors of general food price inflation reduce food price.
 In particular, we also identify the determinants of rice price inflation since it has the largest share in food price inflation. We found that backward-looking and forward-looking expectations, climate change, and demand have a strong impact on high rice price while production, productivity, harvested area, infrastructure, import, and credit reduce rice price.
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Tushar, Ranjan Sahoo, Kumar Sahoo Saroj, and Satpathy Biswajit. "A Subjective Consideration of Agricultural Future Productivity: The Study by a Proposed Model." Asian Journal of Economics, Business and Accounting 3, no. 3 (2017): 1–9. https://doi.org/10.9734/AJEBA/2017/34261.
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Agriculture is the backbone of Indian economy. Agriculture is not only important in economic point of view but also has subconscious influence on social, political and cultural life. So many researchers have accomplished their study related to the price determinants of agricultural product, but rare researcher worked on ‘consumption pattern’ as moderated ‘price determinants’ and ‘perception toward future productivity’. By the informal discussion with farmers’ it has been judge that there is a great role of farmers’ and firm owners’ psychology on the future productivity. So, these research issues are addressed in current study that are from the aim of study as follows- <strong>Aim: </strong>Aim of study is to find out the relationship between ‘price of agriculture product’ and its determinants, influence of ‘price determination’ on ‘perception towards future productivity’ and the moderation effect of ‘consumption pattern’ on the relationship between ‘price determination’ and ‘perception towards future productivity’ of agricultural products. <strong>Study Design: </strong>Descriptive research design applied to study. The relevant literature laid down relation between price determinant of agricultural product and future perception of agricultural product. <strong>Methodology: </strong>The study based on logical relationships developed through a proposed model. The model refers to moderated mediation effect on the relationship between determinants of price and perception towards future productivity through consumption pattern and price determination of agricultural products. The model has proposed purely based on available literature and the determinants of price are identified from past research works and studies. <strong>Results: </strong>Perception towards future productivity is a logical consequence of price determination process, which is influence by various controllable and uncontrollable factors. The consumption pattern acts as moderator between production-perception and price determination process of agriculture products. <strong>Conclusion: </strong>Estimating the future production of agricultural products by determinant of price and with the traditional methods is not sufficient in today’s dynamic market scenario; the psychological aspect of the future production is a must requirement to estimate the future production, which ultimately becomes the input for planning and strategy.
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Tang, Tuck-Cheong. "A COINTEGRATION ANALYSIS OF INFLATION BEHAVIOUR IN SOUTHEAST ASIA." Labuan Bulletin of International Business and Finance (LBIBF) 2, no. 2 (2004): 123–36. http://dx.doi.org/10.51200/lbibf.v2i2.2597.
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The objective of this study is to investigate the long-run relationship between inflation and its determinants in the five selected Southeast Asia economies. The sample countries are Malaysia, Indonesia, Thailand, the Philippines, and Singapore. More specifically, this study has considered the different effects of final demand components on inflationary process by further disaggregating the real income variable into final consumption expenditure, expenditure on investment goods, and exports, as explanatory variables. Other factors are money supply and import prices. From the estimates, the elasticities of final demand components are different for the examined economies, and this reveals that different final demand components have different effects on inflation or domestic price determination. The results of cointegration tests have showed domestic price and its determinants are cointegrated for the three of the five selected Southeast Asia economies, that are Malaysia, Singapore, and Thailand. For the cases of Indonesia, and the Philippines, domestic price is not cointegrated with its determinants. Inflation or domestic price in the five Southeast Asia economies is inelastic to its determinants even in the long-run. This study further shows that in the long-run, import price is still major determinant of inflation or price behaviour in Malaysia, Thailand, and Singapore. By the end of this study, several discussions on economic implications have been made accord with the findings of this study.
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Anselmsson, Johan, Niklas Vestman Bondesson, and Ulf Johansson. "Brand image and customers' willingness to pay a price premium for food brands." Journal of Product & Brand Management 23, no. 2 (2014): 90–102. http://dx.doi.org/10.1108/jpbm-10-2013-0414.
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Purpose – The aim is to understand customers' willingness, or unwillingness, to pay a price premium in the market for consumer packaged food and what kind of images brands can use in order to achieve a price premium. Design/methodology/approach – The study is based on a quantitative survey of brand images found in food and branding literature and their impact on loyalty as well as customers' willingness to pay a price premium for consumer packaged food. Findings – The survey shows that quality is a significant determinant of price premium, but adding other image dimensions doubles the predictability and understanding about price premium. The strongest determinants of price premium are social image, uniqueness and home country origin. Other significant determinants are corporate social responsibility (CSR) and awareness. Practical implications – The results help brand managers to recognise the importance of incorporating price premium and to develop a better understanding of what drives price premium in addition to more traditional dimensions as quality and loyalty. Originality/value – In grocery retailing, the competition for customers, margins and price premiums between manufacturer and private labels is fierce. Traditionally, the literature on this competition has focused on quality and product improvements as the main tool for creating distance to low priced competition. This study looks into other more branding related dimensions to distance from price competition.
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Henny, Medyawati, and Yunanto Muhamad. "Determinant of Stock Price Manufacturing Company: Evidence From Indonesia." Journal of Economics and Business 3, no. 2 (2020): 524–35. https://doi.org/10.31014/aior.1992.03.02.217.
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One of the objectives of financial management is to maximize the value of the company. For companies that have been listed on the stock exchange, this goal can be achieved by maximizing the value of the relevant market price. The purpose of this study is to find the right model to analyze the effect of Debt to Equity Ratio (DER), Earning per share (EPS), Price to Book Value (PBV), and Return on Equity (ROE) on the stock prices of manufacturing companies included in the sector the food and beverage sub-sector of the consumer goods industry that is listed on the Indonesia Stock Exchange. Research data include the financial data for the period 2012-2018. The estimation method used is the panel data regression. The analysis shows that the most appropriate model in this research is the Random Effect Model. Variables that affect stock prices based on the model are earnings per share and price to book value.
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Cevik, Serhan, and Tahsin Saadi Sedik. "A Barrel of Oil or a Bottle of Wine: How Do Global Growth Dynamics Affect Commodity Prices?" Journal of Wine Economics 9, no. 1 (2014): 34–50. http://dx.doi.org/10.1017/jwe.2014.2.
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AbstractThis paper explores empirically the causes of extreme fluctuations in commodity prices from January 1990 to June 2010 and seeks to identify the relative contribution of advanced and emerging market economies to the changes in commodity prices. Our assumption is that analyzing two very distinct goods—crude oil and fine wine—helps to identify common determinants of commodity prices. We find that the growth rate of global aggregate demand is the key macroeconomic determinant of the fluctuations in both crude oil and fine wine prices over the sample period. While advanced economies account for more than half of global consumption, emerging market and developing economies make up the bulk of the incremental change in demand, thereby having a greater weight in commodity price formation. The coefficient of emerging market industrial output growth is about three times as high as that of advanced economies in oil price regressions and almost five times as powerful in fine wine price regressions. The results also show that the shift in the composition of aggregate commodity demand is a recent phenomenon. (JEL Classifications: Q11, Q39, Q41, Q43)
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Egunjobi, Titilayo. "Determinants of Household Cooking Energy Choice in Oyo State, Nigeria." Journal of Economics and Policy Analysis 5, no. 2 (2020): 15–37. https://doi.org/10.52968/25745894.
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This study examined the economic and social determining factors of household cooking energy choice in urban and rural local governments in Oyo State, Nigeria. Primary data via questionnaire and personal interview was collected from 180 randomly selected respondents in Oyo state. Descriptive statistics and the multinomial logit model were used for data analysis. In rural areas, the significant social determinants of household cooking energy are meals per day, education, household size, occupation and cooking facility, while the significant economic determinant of household cooking energy is appliance price. In urban areas, the significant social determinants of household cooking energy are household size and cooking facility while the significant economic determinants of household cooking energy are income, appliance price and expenditure on energy. It was discovered that in rural areas household cooking energy is determined more by social factors than economic factors, while the reverse is the case for urban areas. Thus, it is recommended that government should ensure that price of appliance prices are reduced and the need to improve the social conditions especially of households living in rural areas.
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Rumánková, Lenka, and Luboš Smutka. "Global sugar market – the analysis of factors influencing supply and demand." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 61, no. 2 (2013): 463–71. http://dx.doi.org/10.11118/actaun201361020463.
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This article deals with an analysis of the world sugar market, and specifically focuses on the supply and demand of refined sugar and their main determinants. The article first identifies the main determinants of the world supply of and demand for sugar, and further, their effect on such variables is quantified. Further, the component correlations on the selected market are analyzed. This consists of the identification of the factors affecting the production of refined sugar, as one of the main elements of the supply of sugar, as well as an analysis of the world price of sugar, as one of the significant factors affecting the world sugar market. The said correlations are quantified with the utilization of regression analysis on the basis of time series of the individual variables within the years 1980–2010. On the basis of the conducted analysis, the main determinants of the sugar supply on the world market within the analyzed period, for which an effect has been established both from an economic viewpoint, as well as from a statistical viewpoint, can be considered to be sugar reserves, its price and the acreage of sugarcane. The main determinant of the demand for sugar is, according to the conducted analysis, the global GDP on a new value level, as well as converted to one inhabitant. Further, the analysis also established the effect of the price of sugar and its reserves on the world production of refined sugar, and, last but not least, also the long-term tendency in the development of the world price of sugar. The analysis has proven significant influence of refined sugar supply, reserves of refined sugar, its price and area of sugar cane on sugar supply. Then, the analysis detected GDP as the main determinant of the sugar demand and the long memory in sugar prices. Finally, the influence of delayed price, reserves and delayed reserves on production has been proven.
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Hussain, Altaf, Musrat Rafique, Ambar Khalil, and Maryam Nawaz. "Macroeconomic Determinants of Stock Price Variations: An Economic Analysis of Kse-100 Index." Pakistan Journal of Humanities and Social Sciences 1, no. 1 (2013): 28–46. http://dx.doi.org/10.52131/pjhss.2013.0101.0003.
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The main objective of this study is to assess the macroeconomic determinants of stock price variability in Pakistan. The quarterly data on macroeconomic variables (Gross Domestic Product, Foreign Direct Investment, Interest Rates, Exports, Money Supply and Unemployment Rate) and KSE-100 Index as proxy of stock price variation for the period of 1992:01 to 2012:04 is taken for the empirical investigation. Johansen co-integration test and VECM is used for this purpose. The analysis of this study specifies that the foreign direct investment, interest rates, export and unemployment rate have significant and negative impact on KSE-100 index, while money supply has found to be a significant and positive determinant of stock prices. On the other hand gross domestic product have a positive but insignificant impact on stock prices in Pakistan.
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Nadeem Iqbal, Amjad Amin, and Danish Wadood Alam. "The Determinants of Price Change: Evidence from a Survey of Firms." Journal of Accounting and Finance in Emerging Economies 6, no. 4 (2020): 1059–68. http://dx.doi.org/10.26710/jafee.v6i4.1460.
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Price stability are important for macroeconomic stability, especially for the economies, which are facing macroeconomic instability. Contractionary monetary policy can play an important role in minimizing the frequency of price change, so for effective monetary policy, it is necessary to identify the determinants of price setting behaviour. The objective of the study is to determine the patterns of price setting of firms and responses of firms to economic shocks, i.e. changes in demand and supply side factors, the role of firm characteristics, institutional and other factors in determining the channel of adjustment after these shocks. The data is collected through stratified frandom samplling from 342 firms, located in four Industrial estates of Khyber Pakhtunkhwa. Price setting behavior is measured through importance of demand and cost shocks for price change. To estimate the effects of determinants of price change, models are estimated through logistic technique. Firms’ likelihood of price increases higher than that to price decrease in response to both demand and supply shocks. Furthermore, supply-side factors lead to higher frequency of price change than demand-side factors do. The cost of raw material and cost of energy are the most important causes of price change, both for the price increase and decrease. Demand and cost shocks are important determinants of price change for imperfectly competitive firms, backward-looking firms, firms run by managers having more information about economic conditions, while credibility of central bank is important determinant of price change in case of demand shocks only. Size of firms and information set regarding expected inflation do not have any effect. For effective monetary policy of Pakistan, credibility of central bank has to be established to stabilize prices and pre-emptive measures should be taken on the part of central bank to counter supply shocks.
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Ajao, Mayowa Gabriel, and Fredrick Edosa Robinson. "Dividend Policy Determinants and Stock Price Volatility in Selected African Stock Markets." International Journal of Finance Research 3, no. 1 (2022): 27–48. http://dx.doi.org/10.47747/ijfr.v3i1.659.
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The study examined the impact of dividend policy determinants on stock price volatility in Sub Sahara Africa. Three (3) economies (Nigeria, Kenya and South Africa) were selected from among the 51 economies in the region, and data spanning 9 years (2011-2019) were obtained and subjected to econometric analyses. The Generalized Autoregressive Conditional Heteroskedacity (GARCH) was used to ascertain and generate the volatility properties of the stock prices, while the panel Autoregressive Distributed Lag (ARDL) technique was used to capture the relationship between dividend policy determinants and stock price volatility. The independent variables analyzed in this study are leverage (LEV), firm size (FSIZE), dividend yield (DY), earnings per share (EPS) and dividend payout (DPO) while the dependent variable was the volatility in stock price (SPV). Findings show that all of the variables considered have varying degree of relationships with stock price volatility both in the long run and short run in the three countries. The pooled result indicated that DPO, LEV, FSIZE, DY and EPS had a significant relationship with stock price volatility within the study period in the long run but no short run relationship could be confirmed for the combined samples. The study concluded that dividend payout, dividend yield and earnings per share are significant factors that can be used for predicting the volatile movement in stock price in the African stock markets. The study recommended that dividend payment should be consistent and smoothed to disrupt volatility of stock prices since dividend payment is found to be significant determinant of stock price volatility.
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Ramaratnam, M. S., and R. Jayaraman. "TESTING THE DIRECT AND INDIRECT EFFECT OF CAPITAL STRUCTURE ON THE STOCK PRICE OF THE SELECT INDIAN PUBLIC SECTOR BANKS." International Journal of Research -GRANTHAALAYAH 5, no. 6 (2017): 495–501. http://dx.doi.org/10.29121/granthaalayah.v5.i6.2017.2061.
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Market Value of Share of a company is determined by various factors. So many studies were conducted in finding the determinants of share price. Some of the studies found that Capital Structure is a determinant of the market price of the share and some of the studies found that Earning per Share is a determinant of the market price of the share. Even some studies proved that Capital Structure is also determining the Earning per Share. With this ideology an attempt was made in this study by using Structural equation modeling to see how for the Capital Structure of the firm has got a direct and indirect effect over the Market value of share. Debt to Total Assets, Equity to Total Assets, Coverage Ratio, Earning per share and Market price of share of eleven Indian public sector banks were taken for the study for five years from March 2013 to March 2017.
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Dr.M.S.Ramaratnam and Dr.R.Jayaraman. "TESTING THE DIRECT AND INDIRECT EFFECT OF CAPITAL STRUCTURE ON THE STOCK PRICE OF THE SELECT INDIAN PUBLIC SECTOR BANKS." International Journal of Research - Granthaalayah 5, no. 6 (2017): 495–501. https://doi.org/10.5281/zenodo.822586.
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Market Value of Share of a company is determined by various factors. So many studies were conducted in finding the determinants of share price. Some of the studies found that Capital Structure is a determinant of the market price of the share and some of the studies found that Earning per Share is a determinant of the market price of the share. Even some studies proved that Capital Structure is also determining the Earning per Share. With this ideology an attempt was made in this study by using Structural equation modeling to see how for the Capital Structure of the firm has got a direct and indirect effect over the Market value of share. Debt to Total Assets, Equity to Total Assets, Coverage Ratio, Earning per share and Market price of share of eleven Indian public sector banks were taken for the study for five years from March 2013 to March 2017.
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Farsi Aliabadi, Mohammad Mehdi, and Behzad Fakari. "Economics sanction and barley price regime change in Iran." Bio-based and Applied Economics 13, no. 2 (2024): 161–70. http://dx.doi.org/10.36253/bae-14542.
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In Iran, barley is considered the second-largest cultivated crop. However, more than 40% of Iran’s requirements are imported from the international market. Due to the importance of barley in providing livestock feed and food security, its price variation is a critical issue for Iranian governments. Therefore, in this study, the influence of different determinants of domestic barley price, such as international price, real effective exchange rate variation, price volatility of barley, Russian-Ukrainian armed conflict, and the existence of economic sanctions, has been investigated by applying the Markov-Switching model. The main results indicated that in both states, the real effective exchange rate was the primary determinant of the domestic price. Moreover, the impact of international price in first state is much more powerful than the second state. Also, the results revealed that the persistence of US economic sanctions amplified barley prices in both regimes. According to these findings, the government should eliminate interventions in the barley market by utilizing the preferential exchange rate for importing barley. Moreover, pursuing a political agenda to create a stable political condition and lift economic sanctions should be considered the priority for the government to mitigate the barley price upsurge.
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Fitri, Ayu Utami, Sadalia Isfenti, and Muda Iskandar. "Determinant of Bid - Ask Spread Share on LQ45 Index Emitents in Indonesia." International Journal of Research and Review 7, no. 6 (2020): 143–51. https://doi.org/10.5281/zenodo.3952161.
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The rapid development of capital market activities has brought profound changes to the demands of information quality. The issue surrounding stock prices is one indicator that investors consider to invest. So the difference between the selling price and the purchase price of a stock (spread) affects the level of liquidity of the stock. Factors also influence the Bid-Ask Spread, one of which is the stock price. When the stock price is high, it means that the shares are actively traded. Not only stock prices, stock price volatility is also considered to affect investment risk and uncertainty, as seen from fluctuations in stock price volatility. Another variable is the trading volume which describes the activity of the number of shares traded on the capital market, so that indirectly the trading volume of a security gives an influence on the Bid-Ask Spread. The study was conducted on Issuers listed in the LQ45 index for the period January 2016 - July 2019 on the Indonesia Stock Exchange. A sample of 31 companies with secondary data from the LQ45 report published by the Indonesia Stock Exchange. The study uses analysis techniques used to test the hypotheses in this study is the Panel Data Regression Method with the help of Eviews Application. The model chosen is the fixed effect model with the results of negative and significant stock price variables and other variables namely stock volatility, trading volume and positive and significant company size on the bid ask spread. All research variables together have a significant effect on Bid Ask Spread.
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Wardhany, Medha, and Fauzul Adzim. "Determinant of Cocoa Export in Indonesia." Economics Development Analysis Journal 7, no. 3 (2018): 286–93. http://dx.doi.org/10.15294/edaj.v7i3.25262.
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International Trade is one of the activities that plays an important role for the economy. Indonesia is one of the countries whose depends on exports. One of the agricultural commodities that become the leading commodity is cocoa. Although it is a main flag export commodity, cocoa farming still has many challenges. The export volume of cocoa beans in the period 1987-2016 increase slightly, but in the last six years the export tend to decrease. The purpose of this study is to analyze the factors that affect the export of cocoa beans. The analytical method used is Multiple Linear Regression with the ordinary least squares rank method (OLS). The results showed that the variables of production have a positive and significant effect with coefficient value of 0.642607. Domestic cocoa price does not affect the export volume of cocoa beans. The international cocoa price variable has a negative and significant effect on export volume of Indonesian cocoa beans with coefficient value of -7,073793. The rupiah exchange rate variable to US Dollar has a positive and significant effect on the export volume of Indonesian cocoa beans with coefficient value of 15.22362. While simultaneously, production variables, domestic cocoa prices, international cocoa prices, and Rupiah exchange rate against US Dollar together affect the export volume of Indonesian cocoa beans.
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Komariah, Siti, Gusni Gusni, and Suskim Riantani. "Determinants of the Equity Price of Main Board Index Companies." Jurnal Ilmu Keuangan dan Perbankan (JIKA) 13, no. 2 (2024): 355–66. http://dx.doi.org/10.34010/jika.v13i2.12881.
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The stock price has consistently varied over time in the capital market and can be influenced by a range of internal and external factors. This study aims to identify the elements that investors take into account when making investment decisions on the Main Board Index of the Indonesian stock market, as well as the factors that determine share prices. The study utilized data gathered between 2018 and 2022, from 106 companies listed on the main board index using a purposive sampling method. Panel data regression techniques have been utilized to elucidate the determinants of the firm equity price. Research findings denote that profitability as measured by earnings per share (EPS) and return on assets (ROA), along with the size and value of the firm, contribute positively to equity prices. Conversely, the capital structure exerts a negative impact on share prices, while dividend policy does not affect stock prices. Our findings underscore the significance for investors to consider on factors within a company beside external when processing information and deliberating on investment choices. Keywords: Equity Price; Determinant Factors; Main Board Index; Panel Data; Capital Market
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Irz, Xavier, Jyrki Niemi, and Liu Xing. "Determinants of food price inflation in Finland." Suomen Maataloustieteellisen Seuran Tiedote, no. 28 (January 31, 2012): 1–7. http://dx.doi.org/10.33354/smst.75469.
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The agricultural commodity crisis of 2006-8 and the recent evolution of commodity markets have reignited anxieties in Finland over fast-rising food prices and food security. Although the impact of farm commodity price shocks on the final consumer is mitigated by a large degree of processing as well as the complex structure of the food chain, little is known about the strength of the linkages between food markets and input markets. Using monthly series of price indices from 1995 to 2010, we estimate a vector error-correction (VEC) model in a co-integration framework in order to investigate the short-term and long-term dynamics of food price formation. The results indicate that a statistically significant long-run equilibrium relationship exists between the prices of food and those of the main variable inputs consumed by the food chain, namely agricultural commodities, labour, and energy. When judged by the magnitude of long-run pass-through rates, farm prices represent the main determinant of food prices, followed by wages in food retail and the price of energy. However, highly volatile energy prices are also important in explaining food price variability. The parsimonious VEC model suggests that the dynamics of food price formation is dominated by a relatively quick process of adjustment to the long-run equilibrium, the half life of the transitional dynamics being six to eight months following a shock.
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Christiani, Vinola, Clara Annicha, Elvin Wiranata, and Ari Agung Nugroho. "Stock Price Determinant of PT Timah Tbk During the Covid-19 Pandemic." International Journal of Business, Technology and Organizational Behavior (IJBTOB) 1, no. 6 (2021): 447–60. http://dx.doi.org/10.52218/ijbtob.v1i6.147.
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Stock Price Determinant of PT Timah Tbk during the Covid-19 Pandemic, the Covid-19 Pandemic involves the world economy. Lockdown and Large-Scale Social Restrictions make the economy slow down due to the restricted activities. The prices of crude oil and metal commodities also corrected, including the price of tin commodity due to the decrease of demand. Therefore, the aim of this study is to analyze the impact of the tin price variable, Interest Rate (BI Rate), Net Profit Margin (NPM), and Debt to Equity Ratio (DER) on the Stock Price of PT Timah Tbk during the Covid-19 pandemic. This study used a quantitative method. The object of the study was PT Timah Tbk. The samples used were secondary data, which were tin commodity price, and interest rate of SBI in 2020, and the quarterly financial statements of PT Timah Tbk. The analysis method used was Multiple Linear Regression. The data collection techniques used in this study consisted of two stages: conducting library research (studying literature in the form of research journals, scientific papers, articles, and books) and the documentation stage. The results of the study show that (1) Partially, tin price has a positive and significant impact on the stock price of PT Timah Tbk. (2) Partially, variables of interest rate, NPM, and DER have a negative and not significant impact on the stock price of PT Timah Tbk. (2) Simultaneously, tin price, interest rate, NPM, and DER have a significant impact on the stock price of PT Timah Tbk.
 Keywords : Tin Price, Interest Rate (BI Rate), Net Profit Margin (NPM), Debt to Equity Ratio (DER), and Stock Price
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Szafranek, Karol, Marek Kwas, Grzegorz Szafrański, and Zuzanna Wośko. "Common Determinants of Credit Default Swap Premia in the North American Oil and Gas Industry. A Panel BMA Approach." Energies 13, no. 23 (2020): 6327. http://dx.doi.org/10.3390/en13236327.
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This study discovered market determinants of credit default swap (CDS) spreads in the North American oil and gas industry. Due to the limited theoretical background on market sources of CDS price fluctuations, we chose to alleviate model uncertainty and possible misspecification issues using Bayesian model averaging. This robust framework allowed us to aggregate results from a vast number of linear panel models estimated over the 2017–2020 period. We identified oil price volatility, major shifts in the OPEC+ supply policy, natural gas prices and industrial metal prices as the most robust determinants of CDS spreads. We show that following the onset of the COVID-19 pandemic, oil prices ceased to be a notably important determinant of credit risk, as factors indirectly related to oil prices, such as global and sectoral uncertainty, financial conditions and the macroeconomic stance became more influential. Additionally, we show that the CDS spreads of shale companies are determined by similar common factors, but they are more sensitive to the OPEC+ decisions on the global supply and are less affected by the domestic activity. Finally, we also prove that our modelling approach may help investors and risk officers to identify robust determinants behind the dynamics of credit risk.
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Putera, Andreas Diga Pratama, and Ahmed Reza Rafsanzani. "Analyzing the most determinant factors of Airbnb unit prices in Indonesia and Singapore." JEMA: Jurnal Ilmiah Bidang Akuntansi dan Manajemen 18, no. 1 (2021): 96. http://dx.doi.org/10.31106/jema.v18i1.9285.
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In the tourism business, a place to stay is an integral part that cannot be ignored. Airbnb, as one of the newest platforms in Indonesia and Singapore let people rent or share their unit (house, villa, or apartment) for travelers. However, there is no standardized rule in determining a unit’s price-per-night. This study brings the novelty method in determining a unit’s price based on seven facility parameters (such as number of guests, air conditioning, Wi-fi, kitchen, pool, rating, and number of reviews) and contributes to tourism and business studies by illustrating how big data can be used and visually interpreted. This study selected Yogyakarta and Singapore as the observed of the study because of their similarities in term of their huge number of visitors in a relatively small area. To get insight of the most influential factors of determining Airbnb unit prices, this study used content scrapping methods to gathers and prepare dataset and linear regression for data analysis. Number of guests, rating, and number of reviews are classified as numeric variables whereas Wi-fi, air conditioning, kitchen and pool are classified as Boolean. The results show that the linear regression fit the data quite properly for the determinant of unit prices behavior. However, Singapore has more price variance than that of Yogyakarta. Furthermore, while air condition and Wi-fi considered as significant unit prices determinant in Yogyakarta and Singapore partially, the number of guest, rating, and pool becoming the most unit prices determinant factors for both Yogyakarta and Singapore. Surprisingly, the availability of kitchen does not have any impact in determining the unit’s price.
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Kusdianto, Kemas Dedy, and Indra Siswanti. "Determinant Factor on Stock Price Food and Beverages Industry Sector." International Journal of Accounting and Business Society 30, no. 1 (2022): 149–66. http://dx.doi.org/10.21776/ijabs.2022.30.1.677.
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Purpose -This study aims to test the effect of leverage and firm size on stock price with return on owner equity as an intervening variable and managerial experiences as moderating variables. Design/methodology/approach—This study uses secondary data in the form of company financial statements from 2016 to 2020. The population is 49 consumer goods companies, and the sample is 29 companies. The data processing method used is warp PLS. Findings- The results of the study state that 1) Leverage has a significant effect on ROE; 2) Company size has a significant effect on ROE; 3) Leverage has no significant effect on stock prices; 4) Firms size has a significant effect on stock prices; 5) ROE has a significant effect on stock prices; 6) ROE is mediated effect Leverage on Stock Prices; 7) ROE is mediated effect Firms Size on Stock Prices; 8) Managerial experience is moderating effect Leverage on ROE; 9) Managerial experience is moderating effect Firms Size on ROE. Practical implications—This research has implications for companies where it is important to consider investment managers' experience when making decisions. Originality/value—This study uses a consumer goods company as the subject of research. The research is expected to assist the company in making a decision related to a manager's experience that can affect stock prices. Keywords- Leverage, Firms Size, Return On Owners Equity, Stock Price, Managerial Experiences. Paper type — Case study
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Nurcahyanti, Ida, and Purweni Widhianningrum. "The Environmental Aspect of Companies as A Determinant of Stock Prices." Assets: Jurnal Akuntansi dan Pendidikan 7, no. 2 (2018): 105. http://dx.doi.org/10.25273/jap.v7i2.2302.
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<em><em>This study aims to determine the effect of disclosure of Corporate Social Responsibility which is composed of economic, environmental and social to the stock price on the companies listed on the Indonesia Stock Exchange. The analysis technique uses multiple regression. The results of this study indicate that the economic and social aspects of Corporate Social Responsibility disclosure does not affect the stock price, while the environmental aspects affect the stock price. These results prove that companies that have environmental concerns as an effort to reduce the effects of global warming, can also increase the positive response of stakeholders through an increase in stock prices.</em></em>
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Kusnandar, Kusnandar, and Maya Sari. "THE EFFECTS OF LIQUIDITY, SOLVENCY, AND PROFITABILITY ON STOCK PRICE (A STUDY IN PT TELEKOMUNIKASI INDONESIA TBK. PERIOD OF 2004-2018)." Journal of Accounting and Finance Management 1, no. 2 (2020): 262–74. http://dx.doi.org/10.38035/jafm.v1i2.30.
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This study aims to determine the effect of liquidity, solvency and profitability on stock prices. The research was conducted at PT Telekomunikasi Indonesia Tbk during the period of 2004 - 2018. Through a multiple regression analysis, the effect of liquidity, solvency and profitability was investigated by measuring current ratio, debt to equity ratio, and return on assets effects on stock prices. The findings reveal that changes in liquidity, profitability, and solvency are able to explain the changes being occurred on the share price of PT Telkom Indonesia during the period. Out of the three determinants, profitability performance is the only determinant that has a significant impact on stock price. These findings indicate that profitability performance becomes one factor that is most considered by investors in making investment decisions. Further, the profitability performance is also able to provide positive signals to the investors regarding the company prospects in the future.
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Jaya, Indra, and Yuliani Yuliani. "DETERMINANT FACTORS AFFECTING CONSUMER DECISIONS IN PURCHASING SMARTPHONES." IJEBD (International Journal of Entrepreneurship and Business Development) 6, no. 4 (2023): 771–82. http://dx.doi.org/10.29138/ijebd.v6i4.2312.
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The research aims to examine the determinants that influence the decision to buy a smartphone. Several factors there are product quality, price, market, promotion were examined to prove the purchase decision and show the effects of the consumer decision in buying a Samsung Galaxy smartphone in Bandar Lampung city. This study uses questionnaire data of respondents. The analysis method in this study uses the Partial Least Square analysis method (PLS). The findings of this study reveal that the low level of purchase decisions Samsung Galaxy smartphones can be damaged by good product quality, more affordable prices for consumers, ease when making pre-orders in the marketplace and attractiveness as well as power promotion of brand ambassadors.
 
 Keywords: Purchase Decision, Product Quality, Price, Market, Promotion
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Prowanta, Embun, and Indra Siswanti. "DETERMINANT OF STOCK PRICE INSURANCE COMPANY IN INDONESIA." International Journal of Accounting and Business Society 29, no. 3 (2021): 47–62. http://dx.doi.org/10.21776/ub.ijabs.2021.29.3.2.
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Purpose — This research aims to analyze the effect of the Claim Expense Ratio and the Technical Reserve Ratio on the Stock Price with the Solvency Ratio as an intervening variable in insurance companies on the IDX. Design/methodology/approach — The populations in this research were all 12 insurance companies in Indonesia. The sampling criteria are insurance companies listed on the Indonesia Stock Exchange and publish quarterly financial reports continuously during the 2017-2018 period. There are 8 companies that meet the purposive sampling criteria. Data processing and analysis techniques are carried out using Path Analysis. Findings — The results show that the claim expense ratio has a significant positive effect on the solvency ratio, the technical reserve ratio has no effect on the solvency ratio, the claim expense ratio has a significant positive effect on stock prices, the technical reserve ratio has a significant negative effect on stock prices and the solvency ratio is not able to mediate the ratio of claim expense to stock prices and the solvency ratio is able to mediate the effect of the ratio of technical reserves to stock prices. Practical implications — The higher the claim load ratio, the higher the solvency ratio. This research is in line with the research of Suwiralim (2014) and Permatasari Kuraesin & (2016) which states that the ratio of claim expenses has a positive effect on stock prices. Originality/value — The solvency ratio is not able to mediate the ratio of claim expense to stock prices and the solvency ratio is able to mediate the effect of the ratio of technical reserves to stock prices. Keywords — The Claim Expense Ratio, The Technical Reserve Ratio, The Solvency Ratio, Stock Prices. paper type — Research paper
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Rodriguez-Feijoo, Santiago, Alejandro Rodriguez-Caro, and Carlos Gonzalez-Correa. "Fruit and Vegetable Prices and Perceptions in Mercalaspalmas Wholesale Market." Innovar 25, no. 55 (2015): 145–55. http://dx.doi.org/10.15446/innovar.v25n55.47230.
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This paper studies the behavior of fruit and vegetable prices in a wholesale market. Its aims are: a) to examine price behavior and changes; and b) to identify statistically significant factors in the perception of prices and to quantify the effect of these factors on the market price. For this purpose, daily data were obtained on modal prices at the Mercalaspalmas wholesale market from 2006 until mid-2010. The results obtained show there is a similar degree of flexibility in price increases and decreases, and show the product to be the determinant element in setting prices. There was found to be a strong degree of price permanence, in the sense that changes take place slowly and following a lag. The following significant factors were identified in the perception of prices: the length of time a price has remained unchanged in the market; the period during which a product has been absent from the market; the quantities traded at a given price; and the index of market prices. However, the quantitative effect of this body of factors on the perceived price is very limited.
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McDonald, R. Allen, and Ted C. Schroeder. "Fed Cattle Profit Determinants Under Grid Pricing." Journal of Agricultural and Applied Economics 35, no. 1 (2003): 97–106. http://dx.doi.org/10.1017/s1074070800005964.
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This study determines the relative effects of price, cattle quality, and feeding performance factors on profit per head for fed cattle marketed via a grid structure. Two different data sets of cattle that were marketed in two different grid pricing systems are used in the analysis with comparisons of results made between grids. Grid base price and feeder cattle price are the most important determinants of profit over time in both grids. However, considering only nonprice variables, the cumulative quality of cattle in a pen is also an important profit determinant.
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LAWAL, Adedoyin Isola, Ezeikel OSENI, Abiola J. ASALEYE, Bukola LAWAL-ADEDOYIN, and Crystal O. ELLEKE. "DETERMINATION OF SHARE PRICE OF AGRO ALLIED FIRMS: EVIDENCE FROM NIGERIA." Humanities & Social Sciences Reviews 8, no. 4 (2020): 515–21. http://dx.doi.org/10.18510/hssr.2020.8450.
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Purpose: The study aims to investigate the determinant of the share price of agro-related firms listed on the Nigerian stock exchange.
 Methodology: We employed regression analysis, unit root test as well as vector correction model to determine the degree of relationship between share prices and each of return on assets (ROA), earnings per share (EPS), dividend per share (DPS).
 Findings: The study found that share price is majorly influenced by earnings per shares, while other variables lag it.
 Practical implications: Results from the study have some possible policy implications, for instance, it is recommended that policymakers should put in place conducive market environments that will stimulate earnings from investments. Investors should on the other hand pay keen attention to information within and outside the economy when making investment decisions.
 Originality/Value: This study is one of the first studies on determinants of share prices with a focus on agro-allied firms.
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Jung, Kwang Hwa, and Myeong Hun Lee. "Regional Determinants of Sale Price through Small Office Building Sales Cases: Focusing on the analysis of sales cases in Seoul." Residential Environment Institute Of Korea 20, no. 3 (2022): 291–306. http://dx.doi.org/10.22313/reik.2022.20.3.291.
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In this study, to analyze the regional determinants of small office building sales prices, the analysis was conducted based on the Hedonic model using building characteristics, location characteristics, and economic characteristics as dependent variables. As a result of examining the hypothesis set for the study by variable characteristics, first, CBD, YBD, and Others, which are characteristics of each region excluding GBD (Gangnam area), were found to act on regional decisions as factors that lower the sales price of small office buildings. Second, it was found that the land area, access road area, and use area had a significant effect in the relationship between the location characteristic factor and the sales price determinant, and it was verified that the subway station had no significant effect. Third, among the building characteristics, the number of parking lots, floor area ratio, and elevator presence indicated a positive (+) direction in determining the office building sales price, the building year was identified as a negative (-) direction, and the total number of floors was verified to have little effect on the sales price. Fourth, economic characteristics were found to have a statistically significant effect only on the linear regression model of Model 1, and in the case of Model 2, it was found that there was no influence in the analysis of regional determinants of the sale price of small office buildings.
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Fatmasari, Dewi, Dikdik Harjadi, and Amir Hamzah. "ERROR CORRECTION MODEL APPROACH AS A DETERMINANT OF STOCK PRICES." TRIKONOMIKA 21, no. 2 (2022): 84–91. http://dx.doi.org/10.23969/trikonomika.v21i2.6968.
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The short-term and long-term effects of ROI, EPS, PER Inflation, SBI, Exchange Rate, and GDP on the stock price are the focus of this study. The study's data came from company financial statements, including the Indonesian Stock Exchange Index LQ45. The stationarity test, the classical assumptions test, the cointegration test, and the error correction model test was utilized in this study's statistical analysis. KURS and SBI had a positive effect on stock prices in the short term, but there is no effect in the long term, and inflation and GDP do not affect the stock price both in the short term and in the long term, according to this study. As a result, investors and businesses can use this study's contribution as a point of reference when considering factors that have a short-term and long-term impact on stock prices.
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Mamcarz, Katarzyna. "The Price of Gold as a Determinant of Prices of Gold Mining Stocks." Annales Universitatis Mariae Curie-Skłodowska, sectio H, Oeconomia 51, no. 4 (2018): 225. http://dx.doi.org/10.17951/h.2017.51.4.225.
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Hidayat, Achmad Nizar, and Yuyun Isbanah. "Determinant Harga Saham Perusahaan Sektor Pertambangan di Bursa Efek Indonesia." BISMA (Bisnis dan Manajemen) 10, no. 2 (2018): 117. http://dx.doi.org/10.26740/bisma.v10n2.p117-133.
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The purpose of this research is to analyze the influence of debt ratio, size, earnings per share, dividend policy, and money supply to stock price in mining Sector Company listed in Indonesia stock exchange period 2011-2015. This research uses the type of causality research and the data used is secondary data. Sampling technique by purposive sampling and obtained by eight companies as research object. The analysis method used is multiple linear regression analysis. The results show the debt ratio, size, earnings per share, dividend payout ratio, and dividend yield effect on stock prices of mining companies. While the money supply does not affect to stock price of mining companies. The recommendation of this research is that company need to consider debt ratio, size, earnings per share, dividend payout ratio and dividend yield in making company policy, because can affect stock price movement of company and become an alternative investment decision-making for investors.
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Viana, Rui Couto, and Lúcia Lima Rodrigues. "What Determines Port Wine Prices?" Journal of Wine Economics 2, no. 2 (2007): 203–12. http://dx.doi.org/10.1017/s1931436100000444.
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AbstractIn this study, we estimate a cross-sectional hedonic price function for Port wines in order to determine the price influence of several Port wine characteristics. Drawing on a large sample of more than 14,000 sales from the biggest Port wine firms we find that market prices can be explained by objective characteristics such as age, type of Port and type of brand appearing on the bottle label and subjective characteristics such as firm reputation. The Port type is the main price determinant. (JEL Classification: C21, Q11)
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Azizi Kouchaksaraei, Meysam, Hamed Movahedizadeh, and Hoda Mohammadalikhani. "Determinant of the Relationship between Natural Gas Prices and Leading Natural Gas Countries’ Stock Exchange." International Journal of Economics and Finance 8, no. 4 (2016): 246. http://dx.doi.org/10.5539/ijef.v8n4p246.
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<p>Over the recent decades, natural sources of energy have become an interesting topic to investigate for researchers. Sources of energy play a crucial role in all industrial segments such as export revenue, exchange rate and stock market. One of the major sources is natural gas which its price affects many countries’ economy. This paper investigates the effect of natural gas price on the three leading natural gas exporting countries’ stock market: Russia, Norway and Qatar. This paper employs monthly data observations including natural gas price and stock exchange market index on Russia, Norway and Qatar from January 2005 to November 2013. This study uses Unrestricted Vector Autoregressive model (VAR) to apply Granger Causality test, Impulse Response functions and Variance Decomposition. Findings show that there are two-way causality relationship between natural gas prices and stock exchanges of Russia and Norway, though natural gas prices affected Russia stock exchange index at 10% significance level and Norway stock exchange index at 5% significance. However, there is not causality relationship between Qatar stock exchange and natural gas prices. Moreover, outcomes of impulse response function present that natural gas price shock does not have significant impact on all three countries’ stock exchange. The variance decomposition test also reinforces the results from impulse response function since Russia, Norway and Qatar’s stock exchange variance are not significantly due to natural gas price.</p>
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Aisyah, Esy Nur. "ANALISIS PENGARUH KINERJA KEUANGAN PERUSAHAAN TERHADAP VARIASI HARGA SAHAM SYARIAH." JRAK: Jurnal Riset Akuntansi dan Komputerisasi Akuntansi 5, no. 1 (2014): 38–49. http://dx.doi.org/10.33558/jrak.v5i1.1330.
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Stock price traded on the exchange is closely related to the achievements of the company. Achievementsof the company can be judged from the magnitude of the financial performance during a certain period. Thefinancial performance of the company can be observed from the financial statements issued periodically.Therefore, this study aims to examine the determinants of stock prices in the Indonesian sharia (JII) over aperiod of three years from 2011 to 2013. The results of the regression analysis of the six independent variablesassociated with the use of data from shares sharia (JII) listed on the Stock Exchange. Adjusted R-square value(0.88) indicates that the stock prices of sharia almost 88% depending on the independent variables are EVA,EPS, DPS, ROE, PER and DER, which is owned by the company. Significance Tests showed that EPS and PERis an important determinant of stock prices in the Indonesian sharia. On the other hand, the research also foundthat the explanatory variable is not an explanatory variable explanatory variables EVA, DER, DPS, and ROE isnot strong explanatory variables to determine the price of shares of sharia in Indonesia.
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Gál, Péter. "Determinants of Wine Prices: A Systematic Literature Review." Competitio 19, no. 1-2 (2021): 1–15. http://dx.doi.org/10.21845/comp/2020/1-2/1.
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Wine is a highly differentiated product sold at a wide range of different prices. This article aims to provide a systematic review of the literature written on the determinants of wine prices globally. The article runs a search on the combination of keywords “wine”, “price”, “determinant” in the Web of Science, Scopus, JSTOR, ProQuest, and Science Direct databases. Based on a final set of 46 articles written between 1998 and 2018, results suggest that terroir and quality ratings are the most significant determinants of wine prices, while objective quality and label data also determines wine prices, though to a different extent and with a different sign in some cases. The hedonic pricing method was the most common way of analyzing the relationship between wines prices and their determinants, and results are similar for most regions and varieties. We believe that our results can be useful for researchers, stakeholders, and even for decision-makers in better understanding the factors lying behind wine prices.
 Journal of Economic Literature (JEL) codes: D12, D40 Q11
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Kurniawan, Mahrus Lutfi Adi, Uswatun Khasanah, and Siti 'Aisyah Baharudin. "Determinant of Property Price Through The Monetary Variables: An ARDL Approach." Jurnal Ekonomi Pembangunan: Kajian Masalah Ekonomi dan Pembangunan 24, no. 1 (2023): 12–23. http://dx.doi.org/10.23917/jep.v24i1.20588.
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The 2008 financial crisis demonstrates that studies on property price volatility are important because it impacts domestic economic conditions. This study identifies the volatility of property prices through monetary variables. This current study employs the ARDL method to determine the effect of monetary variables in the short and long term. The study results show that GDP as a proxy for income negatively affects residential property prices in Indonesia, and inflation positively affects property prices. There is a difference in the effect of domestic interest rates on property prices where there is a direct effect on domestic interest rates followed by the COVID-19 crisis. Meanwhile, foreign interest rates have a negative effect in the short term and a positive effect in the long term. This study implies that strong monetary operation through interest rates can maintain public expectations of prices, especially property prices.
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Fuad, Fuad, and Imamudin Yuliadi. "Determinants of the Composite Stock Price Index (IHSG) on the Indonesia Stock Exchange." Journal of Economics Research and Social Sciences 5, no. 1 (2021): 27–41. http://dx.doi.org/10.18196/jerss.v5i1.11002.
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The stock market is one of the essential components of Indonesia's economy. As the market's improvement is quite acceptable nowadays, some macro variables affect stock price volatility. Therefore, research on the determinant of the Indonesian composite index is required. This study aims to determine the effect of world oil prices and macroeconomic variables on the Composite Stock Price Index. The variables used in this study are inflation, exchange rates, interest rates, and world oil prices. This study uses secondary data and time series from January 2015 to December 2019 to obtain 60 monthly data. The method used to examine the data is the Partial Adjustment Model (PAM) method using Eviews 7 and performs assumption tests. Based on the analysis that has been carried out, the study results found that the inflation and exchange rate variables have a negative and significant effect on the Indonesian Composite Stock Price Index. The interest rate and world oil price variables positively and significantly affect the Indonesian Composite Stock Price Index
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Parcell, Joe L., Ted C. Schroeder, and Kevin C. Dhuyvetter. "Factors Affecting Live Cattle Basis." Journal of Agricultural and Applied Economics 32, no. 3 (2000): 531–41. http://dx.doi.org/10.1017/s1074070800020629.
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AbstractCattle producers and beef packers need to understand basis determinants as they develop price expectations and make pricing, hedging, and forward contracting decisions. This study empirically estimated factors explaining variability in monthly fed cattle basis. The five main results regarding live cattle basis are 1) corn price is an important determinant, 2) a change in the value of the Choice-to-Select spread positively affects basis, 3) changes in the levels of captive supplies have no significant statistical or economic impact on basis, 4) the June 1995 live cattle futures contract did not impact basis, and 5) both market fundamentals and seasonal components are important basis determinants.
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Fidanza, Barbara. "Common Stock Delisting: An Empirical Analysis of Firms Performance." International Business Research 15, no. 7 (2022): 50. http://dx.doi.org/10.5539/ibr.v15n7p50.
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This work presents an empirical analysis of delisting effects on shareholder wealth in a sample of firms delisted from European stock exchanges. The analysis was conducted at two levels. At the first one, through an event study, the effect on common stock price of delisting, on announcement day and around it is studied. At the second level, it is tested to see if the delisting improved the operating performance in the post-delisting years. The results confirm the main international evidence. The delisting causes the stock price rise in the pre-announcement period and in the few days around the announcement. The leverage and size of the firm are determinants of these effects. Conversely, prices declined in the post-announcement period. The operating performance in the year after delisting does not change much concerning the year before the delisting, but the size remains a determinant.
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Lieske, Scott N., Ryan van den Nouwelant, Jung Hoon Han, and Christopher Pettit. "A novel hedonic price modelling approach for estimating the impact of transportation infrastructure on property prices." Urban Studies 58, no. 1 (2019): 182–202. http://dx.doi.org/10.1177/0042098019879382.
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Hedonic estimations of the effect of transport infrastructure on property prices vary widely. This high variability demonstrates a deficit in our understanding of these relationships, limits the utility of econometrics for the valuation of urban property markets, and limits the development and implementation of effective and fair market-based policy tools. Several avenues may lead to improved consistency: re-consideration of accessibility, inclusion of urban design characteristics, assessment of spatial dependence and spatial heterogeneity, and consideration of geographic scale. This paper outlines the rationale and opportunities for inclusion of, and presents empirical tests for, these assertions using a case study in western Sydney, Australia. Results show a number of urban design characteristics to be significant determinants of residential property price. Street connectivity and higher density in areas surrounding residences negatively impact price, higher density close to train stations positively impacted price in one model. Park-and-ride stations led to decreases in property values. Smaller study area results indicate a nonlinear relationship between distance to train station and property price and a disamenity impact for residences within 400 m of train stations. Relative accessibility measured as frequency of peak hour trains is a significant and positive determinant of price in the larger study area. Incorporation of a price trend surface and estimation using a spatial error model reduce the extent to which spatial autocorrelation overstates the effect of a train station on prices. These conceptual and empirical improvements further develop our understanding of the effect of transport infrastructure on property values.
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Samsuar, Alfan, and Pardomuan Sihombing. "DETERMINANT ANALYSIS IN PROPERTY STOCKS INDEX AT INDONESIA STOCK EXCHANGE." Dinasti International Journal of Management Science 2, no. 2 (2020): 255–67. http://dx.doi.org/10.31933/dijms.v2i2.453.
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This research aims to determine those influence of inflation, interest rates, exchange rates, world oil prices and world gold prices against the property sector stock index which registered In Indonesia Stock Exchange. These population of research were all activities from monthly movement of property sector stock index, inflation, exchange rates, BI interest rates, world oil prices and world gold prices. The sample chosen method by purposive sampling where the researcher gathered its data based on proficiency strategies or personal considerations, selecting data based on these following criteria: 1) Availability of macro economic data that affects shares from property sector during January 2016 to December 2019; and 2) Availability of property stock index data from January 2016 till December 2019. The model used in this research was the Vector Error Correction Model (VECM). With The results showed that: 1) ISP responsiveness to inflation movements where stumbled or shocks that occur on inflation had positive influence towards ISP movements; 2) Responsiveness of ISP to instability or shocks that occur in exchange rates will negatively affect ISP movements; 3) Those responsiveness of ISP to the BI rate movement was responded positively; 4) Based on these results from research conducted, the ISP responded negatively on stumbled or shocks towards oil price movements; and 5) ISP responsiveness to movements or shocks to gold price had been responded positively by the ISP.
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Nishat, Muhammad, and Rozina Shaheen. "Macroeconomic Factors and Pakistani Equity Market”." Pakistan Development Review 43, no. 4II (2004): 619–37. http://dx.doi.org/10.30541/v43i4iipp.619-637.
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This paper analyzes long-term equilibrium relationships between a group of macroeconomic variables and the Karachi Stock Exchange Index. The macroeconomic variables are represented by the industrial production index, the consumer price index, M1, and the value of an investment earning the money market rate. We employ a vector error correction model to explore such relationships during 1973:1 to 2004:4. We found that these five variables are cointegrated and two long-term equilibrium relationships exist among these variables. Our results indicated a "causal" relationship between the stock market and the economy. Analysis of our results indicates that industrial production is the largest positive determinant of Pakistani stock prices, while inflation is the largest negative determinant of stock prices in Pakistan. We found that while macroeconomic variables Granger-caused stock price movements, the reverse causality was observed in case of industrial production and stock prices. Furthermore, we found that statistically significant lag lengths between fluctuations in the stock market and changes in the real economy are relatively short.
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Lu, Wanying, and Jianfu Shen. "Urban Leverage and Housing Price in China." Journal of Risk and Financial Management 15, no. 2 (2022): 87. http://dx.doi.org/10.3390/jrfm15020087.
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This paper examines whether urban leverage, defined by the bank loan-to-deposit ratio in a city, affects housing prices in China. Using a panel dataset of 236 cities and hedonic models, we find a depressing effect of urban leverage on housing price in first- and second-tier cities while leaving third- and fourth-tier cities unaffected. Urban leverage negatively affects housing prices by influencing credit supply. Moreover, the difference-in-differences analysis indicates that purchase restriction policies amplify the depressing effect of urban leverage on housing prices. Overall, we show that urban leverage is an important determinant of housing prices in China.
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Yaung, Giyoung, and Gyo Eon Sim. "Analysis of the Relationship Between Apartment Sale Price, Jeonse Price, Monthly Rent Price Volatility Determinants: Focusing on the Loan Interest Rate." Korean Association for Housing Policy Studies 32, no. 1 (2024): 87–115. http://dx.doi.org/10.24957/hsr.2024.32.1.87.
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In this study, the financial time series trend is predicted using Hamilton's Markov regime-switching model to observe the factors of apartment sales, jeonse, and monthly rent prices that change from time to time from a Markov perspective. Inflation since the coronavirus pandemic has pushed the United States interest rate higher, and South Korea is also raising its benchmark interest rate to stabilize the economy. Due to the impact of this increase in the base rate, the mortgage interest rate has also risen, which has a chain effect on the sale price of apartments, the price of jeonse, and the price of monthly rent. Changes in the trend over the long term can be interpreted as exogenous shocks, economic measures, or structural changes. As a result of the Markov model analysis, apartment sales prices, jeonse prices, and monthly rent prices all showed a higher probability of maintaining a recession period, and among them, the recession period for apartment sales price, and jeonse prices was relatively more likely to last longer. In the case of the expected duration period, the duration of the depression phase of apartment sales prices and jeonse prices was similar, while the duration of the depression phase of apartment monthly rent prices was short and highly volatile. As a cause of volatility, loan interest rates were found to be a determinant.
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Maynard, Alan. "Price as a determinant of alcohol consumption." Australian Drug and Alcohol Review 7, no. 3 (1988): 287–96. http://dx.doi.org/10.1080/09595238880000541.
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