Дисертації з теми "Indonesian stock market"
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Sudiman, Josephine. "Empirical market microstructure studies of the Indonesian Stock Exchange (IDX)." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2012. https://ro.ecu.edu.au/theses/1852.
Повний текст джерелаMuktiyanto, Ihda. "Determinant Factors of Market Liquidity in the Indonesian Equity Market." Thesis, 2015. https://vuir.vu.edu.au/29790/.
Повний текст джерела-, Nely, and 曹毅莉. "Indonesian Stock Market Integration: Major Trading Partners vs. Regional Markets." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/71089573967635277202.
Повний текст джерела逢甲大學
國際貿易所
98
This study examines the long run stock market relationship between Indonesia and its major trading partners (Japan, U.S., and Singapore) and compare it with long run stock market relationship between Indonesia and its regional markets (Singapore, Malaysia, Thailand, and Philippine). Then Singapore is alternately included and excluded from both models. This study uses cointegration approach and takes into account the interdependence of stock prices and foreign exchange rates in the model. It also studies the effect of financial crisis on these stock markets co-movements. VAR/VECM is used to estimate the interdependence between stock markets and exchange rates and the dynamics of the system. Impulse response function is used to examine the short-run dynamic interactions among the variables in the system. The results suggest that Indonesian stock market is more cointegrated with its regional stock markets than with stock markets of its major trading partners. And this cointegration relationship strengthened during crisis and after crisis. The VAR and VECM results show that the dependence of Indonesian stock market upon its past value and other stock markets remains unchanged whether when Singapore is included or excluded from the models. The impulse response analysis indicates that shock from stock markets has greater effect on Indonesian stock markets relative to shock from exchange rates.
Fransiska, Katrin, and Katrin Fransiska. "The Effect of Foreign Trade Activity To The Stock Liquidity in Indonesian Stock Market." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/t2m45f.
Повний текст джерела國立臺北科技大學
管理國際學生碩士專班 (IMBA)
105
This study was conducted to determine the effect of foreign trade activity to the stock liquidity in the Indonesian stock market. Through panel data regression method with the foreign trade activity as independent variables, ASEAN index and the exchange rate as a control variable, and liquidity, which are divided into tightness, resiliency, and depth dimensions as dependent variables. It was found that there is a significant negative relationship between foreign trade activities with liquidity stock in tightness and resiliency dimensions, and positive relationship in depth dimension. When the samples of state-owned companies are eliminated, the result and level of significance is same, which means asymmetric information does not occur in the state-owned company. The result supports previous research from Rhee and Wang (2009), Agarwal et al., (2009), Kabigting and Hapitan (2009) and Varga (2013).
Haryadi, Haryadi. "Volatility of returns, trading volume and the impact of macroeconomic announcements: high-frequency evidence from the Indonesian stock market." Thesis, 2016. https://vuir.vu.edu.au/32237/.
Повний текст джерелаHernawan, Boby Wahyu. "Corporate Governance and the Incidence of Sanctions in the Indonesian Capital Market." Thesis, 2016. https://vuir.vu.edu.au/32589/.
Повний текст джерелаTara, Nur Aida Arifah. "The Evaluation of Gross Spread and Underpricing of Initial Public Offerings in Indonesia." Thesis, 2019. https://vuir.vu.edu.au/41297/.
Повний текст джерелаSiregar, Bakti, and 錫誠嘉. "Statistical Analysis of Indonesia Stock Market." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/06857037012516554624.
Повний текст джерела國立中山大學
應用數學系研究所
104
Liberalization and economic integration become topics of discussion and research in recent years. Indonesia is one of the countries that actively participates in the achievement of liberalization and economic integration, especially in the ASEAN region. Indonesia stock market has a high degree of volatility which can be used to produce high investment returns, which is one of the reasons to attract foreign investors to enter Indonesia stockmarket. Volatility plays an important role for market participants to control and reduce their market risk of financial assets In this study we establish the volatility models for the stocks listed in the Indonesia stock market index LQ45. The models we considered include the Autoregressive Conditional Heteroskedasticity (ARCH) proposed by Engle (1982), Generalized Autoregrassive Conditional Heteroskedasticity (GARCH) by Bollerslev (1986), the Stochastic Volatility Model (SVM) by Jacquier, Polson and Rossi (1994), and Autoregressive Moving Average (ARMA) by Box, Jankins, and Reinsel (1994). We use the daily log returns to establish the models and select the best one via Akaike information criterion (AIC).Moreover, we use it to predict the future volatility. In the end, we also apply machine learning application such as the K-means method to figure out how itsmovement of the clusters volatility in Indonesia stocks.
Al, Hussien Bima. "Impact of fossil-fuel subsidy removal to the Indonesia stock market." Master's thesis, 2016. http://hdl.handle.net/10071/12774.
Повний текст джерелаNugraha, Asep Tatip. "Determinants of, and Stock Market Reactions to, Financial Reporting Lag in Indonesia." Thesis, 2021. https://vuir.vu.edu.au/44706/.
Повний текст джерелаRahmawati, Evi. "Information content and determinants of timeliness of financial reporting of manufacturing firms in Indonesia." Thesis, 2013. https://vuir.vu.edu.au/24830/.
Повний текст джерелаSoenyoto, Felly Liliyana, and Felly Liliyana Soenyoto. "Trading Performance of Simple Moving Average and Stochastic Oscillator in Indonesia Stock Market." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/46ggak.
Повний текст джерела國立臺灣科技大學
財務金融研究所
106
ABSTRACT As Indonesia’s economy continues to grow, the profitability of stock market has become increasingly attractive for the many of investors. This research aims to investigate the usefulness of two commonly used technical analysis, which are simple moving average and stochastic oscillator in providing excess return to the large-cap stocks in Indonesia stock market. Statistic tests are used as tools to measure the performances of both technical indicators based on 30 samples of large-cap stocks in Indonesia for the period of 2007-2017. To avoid the undesirable effect of market’s net trend on the back-test result, the performance is measured during a sub period in which the data has no trend. The result shows that both simple moving average and stochastic oscillator do not provide a statistically significant excess return on large-cap stocks in Indonesia. Also, no significant difference is found between the return provided by both trading rules. The results support the Efficient Market Hypothesis (EMH) that is if the market is efficient, then any trading rule will not provide excess return. Besides, it is also found that a high winning probability does not necessarily guarantee that the trading rule can generate a profitable return as well. Keyword: Technical analysis, Simple Moving Average, Stochastic Oscillator, Indonesia
IMAMAH, NUR, and 簡艾瑪. "Islamic Law. Corporate Governance, Growth Opportunities, and Dividend Policy in Indonesia Stock Market." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/7zeyqq.
Повний текст джерела國立中央大學
企業管理學系
107
This paper examines whether the Islamic law (Shariah), corporate governance and growth opportunities affect dividend policy. Using a sample of 2,125 firm-years for companies listed on the Indonesia Stock Exchange (IDX) over the period of 2012-2016, we find evidence that Shariah-compliant firms (SCFs) have higher dividend payouts, mainly driven by insider ownership and external large ownership. In addition, institutional ownership of SCFs plays a strong role in corporate governance since it is negatively related to dividend payouts when firm growth is high while this relationship becomes positive when firm growth is low. These results suggest that the Islamic law is an important factor affecting dividend policy in Islamic countries.
Hussain, Qaizar. "Banking and equity markets in middle-income countries." 1995. http://catalog.hathitrust.org/api/volumes/oclc/38189402.html.
Повний текст джерелаHeriyanto, Randy, and Randy Heriyanto. "The effect of Minimum Trading Unit on Trading Activity: Evidence from Indonesia Stock Market." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/92710096721650664438.
Повний текст джерела國立雲林科技大學
財務金融系
104
The purpose of this empirical study is to describe the effect of Minimum Trading Unit (MTU) reduction. Period which is used is from January 2013 to January 2015. MTU applied in Indonesia Stock Exchange (IDX) is different from Tokyo Stock Exchange (TSE) in several ways. This study explains the effect of MTU after introduction during one year. To elaborate the changes, one year is divided to be three periods. The results show that MTU leads to decreasing of trading volume and volatility. However, they are greater in the sample than in overall in composite index. Market capitalization is also rising due to stock price appreciation. Frequency, foreign investor, and value are increasing respectively after application of MTU. Most of reactions upon introduction show positive trend and declining in the end of period. Classification based on price range is used to observe the impact in samples. Further, there is finding that negative relationship between volatility and price.
Windawati, Atif, and 卡施微. "Returns, Volatility and Liquidity during Ramadan: Evidence from Indonesia and Malaysia Stock Markets." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/ejnpfu.
Повний текст джерела國立虎尾科技大學
財務金融系碩士班
104
Religious effect in stock markets has been well documented. Ramadan is one of the most celebrated religious events in the world. All Muslim (Islamic people) in the world tend to concern on their worship rather than other activities including trading activity during Ramadan. This paper investigates the stock returns, volatility and liquidity during Ramadan. Using asymmetric GARCH model and the data of the composite and Islamic indexes of Indonesia and Malaysia stock markets which are the two largest Muslim countries in Southeast Asia, this study documents some evidence of significant Ramadan effect in both stock markets. The findings show that the stock returns of both stock markets are not significantly affected by Ramadan. On the other hand, this study reports significantly higher volatility for both stock markets during Ramadan. Surprisingly, during Ramadan 27th this study documents lower volatility for all stock indexes except for Indonesia composite index which shows insignificant result. Furthermore, there is higher significant change in liquidity for all stock indexes during Ramadan. This finding is consistent with the notion that Ramadan affects investor behavior.
Chang, Feng-Sheng, and 張豐盛. "A Research on Information Transmission of International Stock Markets: Evidence from Indonesia, Thailand, Malaysia and Philippines." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/789363.
Повний текст джерела國立高雄第一科技大學
財務管理研究所
102
This study discusses the stock co-movement between Tiger Cub Economics (included Indonesia, Thailand, Malaysia, and Philippines) and China, United States through time-varying regressions to understand information transmission between those countries. Using totally 8,663 weekly data from 1992 to 2012, and distinguish research data into three parts including full sample period, before and after exchange rate regime change in Tiger Cub Economics, as well as before and after ASEAN–China Free Trade Area (ACFTA) established. The empirical result shows that the influence of China stocks to the stock of Tiger Cub Economics is stronger after exchange rate regime change in Tiger Cub Economics, and much stronger after ACFTA established. During three periods, the stock of United States has influence in full sample period and ACFTA established. During the period of exchange rate regime change in Tiger Cub Economics, United States only has no significant influence in Thailand and Philippines, but shows positive influence to others. During other periods, the stock between United States and Tiger Cub Economics shows positive connection. This study also finds the stock between United States and Tiger Cub Economics shows positive connection, but after the global financial crisis, the influence of the stock of United States to the stock of Tiger Cub Economics decrease. In contrast, after ACFTA established, the influence of China stocks to the stock of Tiger Cub Economics is keeping pace with the stock of United States. The result points out the influence for stocks information of China to Tiger Cub Economics is equally the same as United States.
Sumaji, Yoseva Maria Pujirahayu, and 尤世華. "ANALYSIS OF MARKET RISK IN STOCK INVESTMENT USING VALUE AT RISK METHOD (STUDY ON MANUFACTURING COMPANIES IN LQ-45 LISTED ON INDONESIA STOCK EXCHANGE)." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/cb6ehh.
Повний текст джерела國立屏東科技大學
企業管理系所
104
Capital flows as one part of this economic growth is sourced from the capital markets namely Indonesia stock exchange. The capital markets have a function of economics because capital markets provide a facility or vehicle which brings together two interests, namely those who have excess funds and those who need funds. Before investing, investors should set a goal of investing and the magnitude of the funds invested. Any investment decisions taken have the risks borne by the investor, either investment in bonds or stocks. Stocks with known characteristics of high risk-high return, which means the stock provides an opportunity to earn high profits but also potentially high loss risk. Value at Risk (VaR) model has been extensively used not only in the banking sector but also in other sectors. The aim of this paper is to outline Value at Risk methodology by giving more emphasis on variance covariance method, historical simulation, and Monte Carlo model. The model used to investigate the applicability and usefulness of VaR in stock investment in Indonesia Manufacturing companies. Using the methodologies as described, the maximum potential loss on each stock and its portfolio of nine stocks calculated at 95% confidence level. The models were validated using back testing and Kupiec test. The research found that there are different results of VaR calculated using variance covariance, historical simulation, and Monte Carlo models. However, variance covariance model is the valid one to measure the maximum potential loss of stocks.
Mei-Chun, Lin, and 林美君. "The Analysis on the Relationship among the Real Estate Market, Stock Market and Risk Factors of ASEAN-Evidence of Thailand, Malaysia, Indonesia and Philippines." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/ab7yur.
Повний текст джерела大葉大學
國際企業管理學系碩士班
103
This study is aimed to explore the relationship among the real estate market, stock market and VIX of ASEAN-evidence of Thailand, Malaysia, Indonesia and Philippines. We adopt cointegration test to examine the long-term equilibrium relationship between variables, also examine the Granger causality relationship between variables and the predictability of Variance Decomposition under the model framework of Vector Autoregressions Model and Vector Error Correction Model. The results can provide the reference for investors to map out the investment strategies. The data period of variables is from the first quarter of 2006 to the fourth quarter of 2014. The empirical results are shown as follows: First of all, in addition to Thailand, there is a long-term equilibrium relationship with a co-integrate among the housing price, stock price and the VIX in the other three countries. Moreover, from the results of causality test, it indicates that the housing price of the Philippines is unidirectional causality affected by the VIX and stock price, meaning that the real estate development of the Philippines will be affected by the fluctuation of VIX and stock price. While the housing price Granger-cause the stock prices of Thailand and Indonesia, indicating that the real estate development of Thailand and Indonesia mobilizes the flourish of their stock markets. Finally, from the results of Variance Decomposition, it is found that VIX is the most important factor to predict the short-term changes of the housing price in the Philippines, suggesting VIX can make the reference to reduce the investment risk in the real estate market of the Philippines. Therefore, when investors evaluate the investment in the real estate market of ASEAN countries, they should observe attentively the different development trends of the countries. To draw up different investment strategies in the consideration of the relationships among the real estate market, stock market and VIX, and achieving the purpose of risk circumvention and asset allocation.
Djoenaedi, Shilvi, and 李純金. "The Impact of Twin Crises 1998 and Global Financial Crisis 2008 on Return and Volatility: Evidence from Indonesia Stock Market." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/qtskrt.
Повний текст джерела中國文化大學
財務金融學系
103
Indonesia is one of the developing countries most preferable by international investors in 1990s. It is also one of the countries that hit by Asian Financial Crisis in 1998 the most. The crisis led to riots by the people demanding then-president whom has been in the office for thirty-two years to step down from the presidency sit. Indonesia Stock Exchange that has been cultivated to grow since 1970s was also halted due to poor economy and is facing loss in investors’ faith. Global Financial Crisis 2008 affects every countries economy worldwide, including Indonesia. Indonesia economy is significantly influenced by the global economy as the country production and investment are heavily depended on international market. This study aims to investigate the effect of Twin Crises 1998 and Global Financial Crisis 2008 on Indonesia Stock Exchange. Daily indices data of Indonesia Stock Exchange during the specified phase of the events will be used to examine the stock return and volatility using Exponential General Auto Regression Conditional Heteroscedasticity (EGARCH) Mean model. The results show Twin Crises 1998 has no effect on the stock market return, though the market is more volatile during the crisis. The Global Financial Crisis 2008 affects the stock market return positively, while causing the market to be more volatile. The results will be useful consideration for investors in their investment decision-making process and government in responding crisis in the future.
Chi, Chang Chang, and 張章祺. "Application of Swarm Intelligence and Neural Network to Predict Asian Stock Price Change in Emerging Countries– A Case Study of Indonesia Market." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/3vkf53.
Повний текст джерела東吳大學
經濟學系
101
2008 U.S. subprime mortgage loans and risk detonated enough to shake global economy into financial tsunami in this century, This study mainly focus Indonesia stock index, one of the emerging Asian countries, as a sample, and use the swarm intelligence and bionic calculation method to forecast its stock price ups and downs. Our sample is selected from weekly closing stock price in Indonesia, one of Asian emerging market, while the period is January,1 2003 to December 31, 2012. In this paper, in addition to introducing Genetic Back-propagation Neural Network (GABPN), generalized regression neural network (GRNN), we also introduce two new method of artificial intelligence –Shuffled Frog Leaping Algorithm (SFLA) and Fruit-Fly Optimization Algorithm (FOA) to optimize the parameter of GRNN, stock price change in Indonesia. The empirical resultsshow: (1) Based on forecasting performance,comparing with the other three methodsit can be foundthat SFLAis betterthan the other, followed by GABPN, FOA, andfinallyGRNN. (2) Based ontype I errorrate, thedescendingorder is as follow: FOA> GRNN> GABPN = SFLA, while based ontype I errorrate, itsorder is as follow: GRNN>GABPN>SFLA>FOA. (3) To optimize the smoothing parameter values of GRNN, both SFLA and FOA can indeed significantly improve its forecasting performance. Key Words:Genetic Back-propagation Neural Network,General Regression Neural Network, Shuffled Frog Leaping Algorithm,Fruit-Fly Optimization Algorithm
SAPTOADI, BRAMANTIO UTOMO, and 柏曼蒂. "An Analysis of Macroeconomic Indicators for Indonesia:A Correlation Study between Foreign Direct Investment Inflow, Volatility in Exchange Rate, Development of Stock Market Prices and Economic Growth." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/6n9aep.
Повний текст джерела國立高雄科技大學
國際管理碩士學位學程
107
The main objective of this paper is to find a connection between four important macroeconomic variables; foreign direct investment net inflow to Indonesia, stock market prices developments which focus on index LQ 45, exchange rate volatility between Indonesian Rupiah versus Singaporean Dollar and Indonesian economic growth. This study used secondary start from 2006 – 2016. All of data and information were obtained from official Indonesian websites and trusted third party financial websites. Various methodologies were used in this study, example to determine stock prices from year to year using total share return (TSR) and to locate connection between four test variables using Spearman Rho correlation. In order to robust dataset and get solid result, the Bias Corrected accelerated (BCa) technique was used before conduct correlation test and to patch missing data in dataset using multiple imputation technique. The result of this research is still relevant nowadays. Indonesia as one of south east Asia emerging market has a good opportunity in future. However, it still requires foreign investments to maintain Indonesian growth momentum. Stock market with its “hot money” could be a special gift but also could be a serious risk. Exchange rate with its floating exchange regime has a huge influence toward economic growth. If they are miss manage, they would be a serious threat eroding national economic growth.