Relevant bibliographies by topics / Stock prices; Returns

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Stock prices; Returns'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Stock prices; Returns"

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Heny Sidanti and Annisa Istikhomah. "The Effect Of Stock Price, Share Return, Share Trading Volume, And Return Variant On Bid-Ask Spread On Textile And Garment Companies Listed On The Indonesia Stock Exchange, 2019-2020." International Journal of Science, Technology & Management 2, no. 4 (July 23, 2021): 1357–66. http://dx.doi.org/10.46729/ijstm.v2i4.269.

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This study aims to obtain empirical evidence of the effect of Stock Price, Stock Return, Stock Trading Volume, and Return Variant on the Bid-Ask Spread of Stocks in Textile and Garment Companies Listed in Indonesia Stock Exchange in 2019-2020. The stock price used is the stock price recorded at the end of each closing period (closing price), stock returns are measured using the difference between returns on the research day and before the study divided by returns on the day before the study, stock trading volume is measured by the number of shares traded at the time of the study. t is divided by the number of shares outstanding at the time of the study, the variance of stock returns is measured using the standard deviation, and the bid-ask spread is measured by the difference between the selling price and the purchase price divided by the difference between the selling price and the purchase price divided by two. The population in this study is 17 textile and garment companies listed on the IDX. Based on the purposive sampling method, a sample of 16 companies was obtained with 309 data. This research data is obtained from the company's monthly data from 2019 to 2020. The results of the analysis show that stock prices and stock trading volumes affect the bid-ask spread, while stock returns and return variances do not affect the bid-ask spread. Meanwhile, simultaneously, stock prices, stock returns, stock trading volume, and return variance affect the bid-ask spread. This research data is obtained from the company's monthly data from 2019 to 2020. The results of the analysis show that stock prices and stock trading volume affect the bid-ask spread, while stock returns and return variances do not affect the bid-ask spread. Meanwhile, simultaneously, stock prices, stock returns, stock trading volume, and return variance affect the bid-ask spread. This research data is obtained from the company's monthly data from 2019 to 2020. The results of the analysis show that stock prices and stock trading volumes affect the bid-ask spread, while stock returns and return variances do not affect the bid-ask spread. Meanwhile, simultaneously, stock prices, stock returns, stock trading volume, and return variance affect the bid-ask spread.
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Hasyim, Fuad, and Resyta Aulia Ardityasari. "Derivative Analysis of Value Added to Stock Returns at Jakarta Islamic Index." BISNIS : Jurnal Bisnis dan Manajemen Islam 8, no. 2 (December 30, 2020): 155. http://dx.doi.org/10.21043/bisnis.v8i2.8150.

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<p>This study aims to examine the effect of value added derivative such as economic value added (EVA), market value added (MVA) and refined economic value added (REVA) on stock return with stock price as an intervening variable. The object of this study are all Islamic stocks listed in the Jakarta Islamic Index (JII) in the period 2014-2019. This study using purposive sampling method and obtained by 11 companies. Data processing using panel regression with common, fixed and random modelling approach. The results show that economic value added (EVA) has no effect either on stock prices or stock returns, market value added (MVA) affects the stock price and stock return, while refined economic value added (REVA) has no effect on both. Then, stock prices are only able to mediate the effect of market value added (MVA) on stock return.</p>
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Siregar, Kurniawan, and Afriapollo Syafarudin. "ANALYSIS OF CRUDE PALM OIL (CPO) PRODUCTION VOLUME AND PRICE ON PROFITABILITYAND ITS IMPACT ON STOCK RETURNS." International Journal of Engineering Technologies and Management Research 6, no. 7 (March 31, 2020): 87–100. http://dx.doi.org/10.29121/ijetmr.v6.i7.2019.419.

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This study aims to examine and analyze the effect of production volume and crude palm oil (CPO) prices on profitability (proxied by return on assets, ROA) and its impact on stock returns (proxied by capital gains) in plantation industry sector companies listed on the Indonesia Stock Exchange (BEI) 2013 - 2017. The sampling method used was purposive sampling. From the population of 18 plantation industry companies, 12 companies met the criteria to be sampled. The type of data used is panel data, which is collected by documentation techniques. The analytical method used in this study is multiple linear regression using Eviews version 9.0 software. The results showed that CPO production had a positive and not significant effect on ROA. The price of CPO has a negative and not significant effect on ROA. ROA has a positive and not significant effect on stock returns. CPO production has a negative and not significant effect on stock returns. CPO prices have a positive and not significant effect on stock returns. Simultaneously CPO production and prices have no significant effect on ROA and stock returns. CPO production and CPO prices simultaneously contribute more to stock returns than through ROA as an intervening variable.
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He, Ling T. "Forecasting of housing stock returns and housing prices." Journal of Financial Economic Policy 7, no. 2 (May 5, 2015): 90–103. http://dx.doi.org/10.1108/jfep-01-2014-0004.

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Purpose – The purpose of this paper is to create an endurance index of housing investor sentiment and use it to forecast housing stock returns. This study performs not only in-sample and out-of-sample forecasting, like many previous studies did, but also a true forecasting by using all lag terms of independent variables. In addition, an evaluation procedure is applied to quantify the quality of forecasts. Design/methodology/approach – Using a binomial probability distribution model, this paper creates an endurance index of housing investor sentiment. The index reflects the probability of the high or low stock price being the close price for the Philadelphia Stock Exchange Housing Sector Index. This housing investor sentiment endurance index directly uses housing stock price differentials to measure housing investor reactions to all relevant news. Empirical results in this study suggest that the index can not only play a significant role in explaining variations in housing stock returns but also have decent forecasting ability. Findings – Results of this study reveal the considerable forecasting ability of the index. Monthly forecasts of housing stock returns have an overall accuracy of 51 per cent, while the overall accuracy of 8-quarter rolling forecasts even reaches 84 per cent. In addition, the index has decent forecasting ability on changes in housing prices as suggested by the strong evidence of one-direction causal relations running from the endurance index to housing prices. However, extreme volatility of housing stock returns may impair the forecasting quality. Practical implications – The endurance index of housing investor sentiment is easy to construct and use for forecasting housing stock returns. The demonstrated predictability of the index on housing stock returns in this study can have broad implications on housing-related business practices through providing an effective forecasting tool to investors and analysts of housing stocks, as well as housing policy-makers. Originality/value – Despite different investor sentiment proxies suggested in the previous studies, few of them can effectively predict stock returns, due to some embedded limitations. Many increases and decreases inn prices cancel out each other during the trading day, as many unreliable sentiments cancel out each other. This dynamic process reveals not only investor sentiment but also resilience or endurance of sentiment. It is only long-lasting resilient sentiment that can be built in the closing price. It means that the only feasible way to use investor sentiment contained in stock prices to forecast future stock prices is to detach resilient investor sentiment from stock prices and construct an index of endurance of investor sentiment.
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Kohli, Bindya, and Deepa Pillai. "Influence of Board Reformation on the Stock Returns: an Event Study." International Journal of Engineering & Technology 7, no. 3.16 (July 26, 2018): 71. http://dx.doi.org/10.14419/ijet.v7i3.4.16186.

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Investor sentiments pertaining to stocks are propelled by the contentions of financial sector reforms, fiscal policy and management change. Any uncertainty has a significant impact on the stock prices and returns accruing to the company. The paper examines the effect of change in management on the stock returns of a corporate entity. Organizational performance is dependent on the realization of the numerous roles the board of directors are entrusted with. Any change in the composition of the board through the resignation, retirement or ouster can thus have a significant impact on the stock prices and returns accruing to the company. It is anticipated that voluntary resignations, age related turnovers have small or negative impact on the stock price reactions. The paper investigates the impact of the ouster of the Chairman of the Tata group on the volatility of the daily prices and returns of four companies under the Tata umbrella. Event study methodology has been adopted following the market model of return generating process. Investors react to the market information thereby affecting the security prices positively or negatively during the event window. The findings disclose market sentiments are affected on the occurrence of the event though the acceptance of the event may be unforeseen.
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Smajlbegovic, Esad. "Regional Economic Activity and Stock Returns." Journal of Financial and Quantitative Analysis 54, no. 3 (September 19, 2018): 1051–82. http://dx.doi.org/10.1017/s0022109018001126.

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This paper studies the diffusion of regional macroeconomic information into stock prices. I identify all U.S. states that are economically relevant for a company through textual analysis of annual reports and find that economic activity forecasts of company-relevant regions positively predict cross-sectional stock returns. Information arising from all relevant states is more important than that relating to the headquarter state alone. These forecasts also predict firms’ performance and earnings surprises, suggesting that the return predictability stems from future cash flows that are gradually reflected in prices. Finally, regional information takes longer to be incorporated into prices among difficult-to-arbitrage stocks.
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Kurniawan, Doni, and Mayar Afriyenti. "Pengaruh Harga Saham, Volume Perdagangan, dan Varian Return Terhadap Bid-Ask Spread (Studi Empiris pada Perusahaan yang Melakukan Stock Split yang Terdaftar di Bursa Efek di Asia Tenggara Tahun 2018)." Wahana Riset Akuntansi 7, no. 1 (June 25, 2019): 1397. http://dx.doi.org/10.24036/wra.v7i1.104564.

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This study aims to determine the effect of stock prices, trading volume, and variance of return on the bid-ask spread in companies that do stock splits listed on stock exchanges in Southeast Asia in 2018. In this study the sampling technique used was nonprobability purposive sampling so that produced a total of 248 companies with 26 companies on the Indonesia Stock Exchange, 10 companies on the Philippines Stock Exchange, 56 companies on the Malaysia Stock Exchange, 18 companies on the Singapore Stock Exchange, 48 companies on the Thailand Stock Exchange and 90 companies on the Vietnam Stock Exchange. This study uses multiple regression methods using Eviews 10 to process data. The results of the study indicate that on the Indonesia Stock Exchange, stock prices have a negative and significant effect on the bid-ask spread, trading volume has no significant negative effect on the bid-ask spread, variance returns have a positive and insignificant effect on the bid-ask spread. On the Philippine Stock Exchange, stock prices have no significant negative effect on the bid-ask spread, trading volume has a positive and significant effect on the bid-ask spread, variance returns have a positive and insignificant effect on the bid-ask spread. On the Malaysia Stock Exchange, stock prices have a negative and significant effect on the bid-ask spread, trading volume and variance returns have a positive and significant effect on the bid-ask spread. On the Singapore Stock Exchange, stock prices and trading volume have a negative and significant effect on the bid-ask spread, variance returns have a positive and insignificant effect on the bid-ask spread. On the Thailand Stock Exchange, stock prices have a negative and significant effect on the bid-ask spread, trading volume and variance returns have a positive and significant effect on the bid-ask spread. On the Vietnam Stock Exchange, stock prices have no significant negative effect on the bid-ask spread, trading volume has no significant positive effect on the bid-ask spread, variance returns have a positive and significant effect on the bid-ask spread.Keywords: Stock Price, Trading Volume, Variant Return, Bid-Ask Spread, Stock Split
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Salisu, Afees Adebare, Raymond Swaray, and Tirimisiyu Oloko. "US stocks in the presence of oil price risk: Large cap vs. Small cap." Economics and Business Letters 6, no. 4 (March 18, 2018): 116. http://dx.doi.org/10.17811/ebl.6.4.2017.116-124.

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This study queries the act of making generalization about the dynamics of returns and volatility spillovers between oil price and U.S. stocks by merely considering only large cap stocks. It argues that this kind of generalization may be misleading, as the reactions of large cap, mid cap and small cap stocks to change in oil prices are not expected to be uniform. Our findings show that it is correct to make generalization about oil-U.S. stock relationship with large cap stocks when analysing returns spillovers, but the generalization is incorrect when considering stock caps returns volatility spillovers, particularly under falling and relatively stable oil prices.
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Muhtaseb, Buthaina M. A., and Ghazi Al-Assaf. "Oil Price Fluctuations and Their Impact on Stock Market Returns in Jordan: Evidence from an Asymmetric Cointegration Analysis." International Journal of Financial Research 8, no. 1 (December 8, 2016): 172. http://dx.doi.org/10.5430/ijfr.v8n1p172.

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This paper examines whether Amman stock market returns responds asymmetrically to oil price fluctuations for the quarterly period 2000-2015 by applying asymmetric cointegration. Using both TAR and MTAR specification of Enders and Siklos’s (2001) models, and based on the asymmetric ECM, the results provide evidence that stock returns react to oil price variations in an asymmetric manner. In particular, rising oil prices has a larger impact on stock returns; this implies that increases in oil prices have a significant effect on the behavior of stock market in Jordan. The significant relationship between oil prices and stock returns strengthen their predictability power, so that appropriate strategies may be built on the basis of expected increases or decreases in oil prices.
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Boucher, Christophe. "Stock Prices, Inflation and Stock Returns Predictability." Finance 27, no. 2 (2006): 71. http://dx.doi.org/10.3917/fina.272.0071.

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Dissertations / Theses on the topic "Stock prices; Returns"

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Hayes, Simon. "The behaviour of U.K. stock prices and returns." Thesis, University of Newcastle Upon Tyne, 1995. http://hdl.handle.net/10443/177.

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In this thesis I combine VAR forecasting methods with the Campbell-Shiller log-linear approximation to the present-value formula for stock prices. Four aspects of UK stock market behaviour are studied. The first analysis involves decomposing the variance of the unexpected stock return into components due to news about dividends, news about future returns, and the covariance between the two. I find that changing expectations about future returns accounts for around four times as much of the variance of unexpected returns as news about dividends, with a negligible covariance term. My second study is a detailed analysis of the links between macroeconomic risks and required stock returns. Using 27 industry-based stock portfolios, I attempt to determine the effect that a number of macroeconomic and financial factors have on expectations of dividends, real interest rates and future required returns. The results go some way to explaining why some risk factors appear not to be significantly priced in financial markets, whilst others (particularly inflation) appear to induce counter-theoretical reactions in stock prices. Given an empirical proxy for equilibrium returns, the present-value model implies a set of non-linear restrictions on the parameters of a VAR, the latter being taken as a model of investors' expectations formation. In my third analysis, I test various models of equilibrium returns using aggregate UK data, and find some support for market efficiency. In particular, in accordance with the intertemporal CAPM, I find that the well-known ability of the dividend yield to forecast stock returns can be traced to the fact that the dividend yield Granger-causes the market return variance. In the final section I test two propositions: whether rejections of the CAPM at the aggregate level can be traced to rejections in specific sub-sectors of the market; and whether investors are more skilled at eliminating mis-pricing within market sub-sectors than in the market as a whole. I find mixed support for the CAPM at the disaggregated level. Furthermore, eliminating the covariance terms from the model for sector returns has little effect on the results, providing some support for the market segmentation hypothesis.
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Brodd, Tobias, and Adrian Djerf. "Monte Carlo Simulations of Stock Prices : Modelling the probability of future stock returns." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-229752.

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The financial market is a stochastic and complex system that is challenging to model. It is crucial for investors to be able to model the probability of possible outcomes of financial investments and financing decisions in order to produce fruitful and productive investments. This study investigates how Monte Carlo simulations of random walks can be used to model the probability of future stock returns and how the simulations can be improved in order to provide better accuracy. The implemented method uses a mathematical model called Geometric Brownian Motion (GBM) in order to simulate stock prices. Ten Swedish large-cap stocks were used as a data set for the simulations, which in turn were conducted in time periods of 1 month, 3 months, 6 months, 9 months and 12 months. The two main parameters which determine the outcome of the simulations are the mean return of a stock and the standard deviation of historical returns. When these parameters were calculated without weights the method proved to be of no statistical significance. The method improved and thereby proved to be statistically significant for predictions for a 1 month time period when the parameters instead were weighted. By varying the assumptions regarding price distribution with respect to the size of the current time period and using other weights, the method could possibly prove to be more accurate than what this study suggests. Monte Carlo simulations seem to have the potential to become a powerful tool that can expand our abilities to predict and model stock prices.
Den finansiella marknaden är ett stokastiskt och komplext system som är svårt att modellera. Det är angeläget för investerare att kunna modellera sannolikheten för möjliga utfall av finansiella investeringar och beslut för att kunna producera fruktfulla och produktiva investeringar. Den här studien undersöker hur Monte Carlo-simuleringar av så kallade random walks kan användas för att modellera sannolikheten för framtida aktieavkastningar, och hur simuleringarna kan förbättras för att ge bättre precision. Den implementerade metoden använder den matematiska modellen Geometric Brownian Motion (GBM) för att simulera aktiepriser. Tio svenska large-cap aktier valdes ut som data för simuleringarna, som sedan gjordes för tidsperioderna 1 månad, 3 månader, 6 månader, 9 månader och 12 månader. Huvudparametrarna som bestämmer utfallet av simuleringarna är medelvärdet av avkastningarna för en aktie samt standardavvikelsen av de historiska avkastningarna. När dessa parametrar beräknades utan viktning gav metoden ingen statistisk signifikans. Metoden förbättrades och gav då statistisk signifikans på en 1 månadsperiod när parametrarna istället var viktade. Metoden skulle kunna visa sig ha högre precision än vad den här studien föreslår. Det är möjligt att till exempel variera antagandena angående prisernas fördelning med avseende på storleken av den nuvarande tidsperioden, och genom att använda andra vikter. Monte Carlo-simuleringar har därför potentialen att utvecklas till ett kraftfullt verktyg som kan öka vår förmåga att modellera och förutse aktiekurser.
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Chatrdamrongtham, Mungkorn. "The information content of quarterly earnings : earnings announcement price response of income stocks and growth stocks in a developing economy; the case of Thailand." Thesis, Manchester Metropolitan University, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.324054.

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Chelley-Steeley, Patricia L. "Small firm effects in the UK stock market." Thesis, Loughborough University, 1995. https://dspace.lboro.ac.uk/2134/7320.

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This thesis will be concerned with investigating the empirical characteristics of stock returns, forUKfirms which are distinguished by market value. The primary aimof thisworkis to identify whether there are differences between the behaviour of large and small firm retums. A substantial amount of attention has recently focused upon how firm size influences the behaviour of stock returns in US markets, but, the role that firm size might have in determining the behaviour of stock returns in UK markets has received very little attention. The aim of this thesis is to redress this imbalance. The first part of this study will be concerned with showing that the returns of small firms are more predictable than the returns of large firms. The second part of this study will show that the relationship between risk and return depends on firm size. The third and final part of this thesis will show that not only are the mean returns of large and small firms different but that there are also important differences in the conditional variances of large and small firms. In all three parts of this thesis, important differences between the behaviour of large and small firm returns are documented for the first time.
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Schmitz, Anthony. "Effect of oil prices on returns to alternative energy investments." Thesis, Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/31843.

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Thesis (M. S.)--Economics, Georgia Institute of Technology, 2010.
Committee Chair: Vivek Ghosal; Committee Member: Byung-Cheol Kim; Committee Member: Chun-Yu Ho; Committee Member: Tibor Besedes. Part of the SMARTech Electronic Thesis and Dissertation Collection.
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Mabhunu, Mind. "The market efficiency hypothesis and the behaviour of stock returns on the JSE securities exchange." Thesis, Rhodes University, 2004. http://hdl.handle.net/10962/d1002762.

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While the Efficient Market Hypothesis (EHM) has been widely accepted as robust by many researchers in the field of capital markets, the hypothesis’ robustness has been under increased scrutiny and question lately. In the light of the concerns over the robustness of the EMH, the weak form efficiency of the JSE is tested. Stock returns used in the analysis were controlled for thin trading and it was discovered that once returns are controlled for thin trading, they are independent of each other across time. Some of the previous studies found the JSE to be inefficient in the weak form but this research found that the JSE is efficient in the weak form. A comparison is also made between the JSE and four other African stock markets and the JSE is found to be more efficient than the other markets. The developments on the JSE, which have improved information dissemination as well as the efficiency of trading, contributed to the improvement of the JSE’s efficiency. The improvement in operational efficiency and turnover from the late 1990s has also made a major contribution to the improvement in the weak form efficiency of the JSE. Theory proposes that if markets are efficient then professional investment management is of little value if any; hence the position of professional investment managers in efficient markets is investigated. Although the JSE is found to be efficient, at least in the weak form, it is argued that achieving efficiency does not necessarily make the investment manager’s role obsolete. Investment managers are needed even when the market can be proved to be efficient.
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Salimi, Sofla Amin. "Correlation of Returns in Stock Market Prices : Evidence from Nordic Countries." Thesis, Umeå universitet, Handelshögskolan vid Umeå universitet, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-39330.

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Kruger, Theunis Lodewicus. "Dividend stability, dividend yield and stock returns on the Johannesburg Stock Exchange." Thesis, Stellenbosch : Stellenbosch University, 2001. http://hdl.handle.net/10019.1/52241.

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Thesis (MBA)--Stellenbosch University, 2001.
ENGLISH ABSTRACT: This study investigates the relationship between dividends and stock returns on the Johannesburg Stock Exchange (JSE). In this mini study project a regression model is used to investigate the relationship between dividend yield portfolios and stock returns. Each of these dividend yield portfolios are further subdivided into dividend stability portfolios which together with a regression model are used to investigate the relationship between dividend stability and stock returns on the JSE. It follows from this study that there is a non-linear relationship between the risk-adjusted returns and dividend yields. A significant finding of this study is the fact that there is an inverse linear relationship between the dividend yield and average stock returns for dividend paying portfolios on the JSE. Investors on the JSE appear to place a premium on capital gains as opposed to dividends. It follows from this study that there is an inverse correlation between dividend stability and the risk-adjusted return with the beta coefficient increasing as dividend stability decreases. Within a particular yield portfolio, it is evident that higher systematic risk is associated with shares with unstable dividend yielding histories. It is clear from the results that this dividend signalling is not limited to high yielding stocks alone. As dividends are not entirely controlled by managers, a low stable dividend yield could signal a low exposure to systematic risk to outsiders.
AFRIKAANSE OPSOMMING: In hierdie studie word die verband tussen dividende en aandeelopbrengste op die Johannesburgse Effektebeurs ondersoek. 'n Regressiemodel is in hierdie mini werkstuk gebruik om die verwantskap tussen dividend opbrengsportfolios en aandeelopbrengs te ondersoek. Elk van hierdie opbrengsportfolios is vervolgens verder verdeel in dividendstabiliteitsportfolios wat tesame met 'n regressiemodel gebruik is om die verband tussen dividendstabiliteit en aandeelopbrengs te bepaal. Dit volg uit hierdie studie dat daar 'n nie-lineêre verband tussen risiko aangepaste aandeelopbrengs en dividendopbrengs bestaan. 'n Noemenswaardige bevinding is die inverse lineêre verwantskap tussen dividend en gemiddelde aandeelopbrengs vir dividend betalende aandele op die Johannesburgse Effektebeurs. Dit blyk asof beleggers op die Johannesburgse Effektebeurs 'n premie plaas op kapitaalgroei ten koste van dividendopbrengs. Dit volg ook uit hierdie studie dat daar 'n inverse korrelasie is tussen dividendstabiliteit en risiko aangepaste aandeelopbrengs met die beta koëffissiënte wat toeneem soos dividendstabiliteit afneem. Binne 'n spesifieke dividendopbrengsportfolio is dit duidelik dat hoër sistematiese risiko geassosieer word met onstabiele historiese dividendopbrengste. Dit volg uit die resultate dat hierdie inligtingoordrag deur middel van dividende, nie beperk is tot hoë dividendopbrengs aandele nie. Aangesien dividende nie uitsluitlik deur bestuurders beheer word nie, kan 'n aandeel met lae maar stabiele dividendopbrengs, 'n boodskap van lae blootstelling aan sistematiese risiko aan die mark oordra.
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Holm, Mattias. "Impact of analyst’s target prices and stock recommendations on the returns of the stocks traded on the Stockholm Stock Exchange." Thesis, Örebro universitet, Handelshögskolan vid Örebro Universitet, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-85150.

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Pozo, Veronica F. "Effects of meat and poultry recalls on firms' stock prices." Diss., Kansas State University, 2014. http://hdl.handle.net/2097/18160.

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Doctor of Philosophy
Department of Agricultural Economics
Ted Schroeder
Food recalls have been an issue of great concern in the food industry. Stakeholder responses to food safety scares can cause significant economic losses for food firms. Assessing the overall impact that may result from a food recall requires a thorough understanding of the costs incurred by firms. However, quantifying these costs is daunting if not impossible. A direct measurement of a firm’s total costs and losses of revenue associated with a food recall requires firm-level data that is not available. The method utilized in this study overcomes this severe limitation. Using an event study, the impact of meat and poultry recalls is quantified by analyzing price reactions in financial markets, where it is expected that stock prices would reflect the overall economic impact of a recall. A unique contribution of this study is evaluating whether recall and firm specific characteristics are economic drivers of the magnitude of impact of meat and poultry recalls on stock prices. Results indicate that on average shareholders’ wealth is reduced by 1.15% within 5 days after a firm is implicated in a recall involving serious food safety hazards. However, when recalls involve less severe hazards, stock markets do not react negatively. Also, reductions in company valuations return to pre-recall levels after day 20. Firm size, firm’s experience, media information and recall size are drivers of the economic impact of meat and poultry recalls. That is, firms recalling a larger amount of product perceive greater reductions in company valuations. Additionally, recalls issued by larger firms are less likely to present negative effects on stock prices, compared to smaller firms. Moreover, firms that have recently issued a recall are less harmed by a new recall compared to those firms issuing a recall for first time. Thus, suggesting that investors take into consideration the past performance of a company when dealing with food recalls. Furthermore, media information has a negative impact on shareholder’s wealth. Findings from this study provide essential information to the meat industry. In particular, understanding the likely impact of such “black swan” events is critical for firm’s investing in food safety technologies and protocols.
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Books on the topic "Stock prices; Returns"

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Asquith, Paul. Short interest and stock returns. Cambridge, MA: National Bureau of Economic Research, 2004.

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Lamont, Owen A. Investment plans and stock returns. Cambridge, MA: National Bureau of Economic Research, 1999.

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Jones, Charles M. Short sale constraints and stock returns. Cambridge, MA: National Bureau of Economic Research, 2001.

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Titman, Sheridan. Capital investments and stock returns. Cambridge, Mass: National Bureau of Economic Research, 2003.

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A, Sinquefield Rex, and Institute of Chartered Financial Analysts. Research Foundation., eds. Stocks, bonds, bills, and inflation: Historical returns (1926-1987). Charlottesville, Va: Research Foundation of the Institute of Chartered Financial Analysts, 1989.

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Calvet, Laurent E. Multifrequency news and stock returns. Cambridge, Mass: National Bureau of Economic Research, 2005.

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Calvet, Laurent E. Multifrequency news and stock returns. Cambridge, MA: National Bureau of Economic Research, 2005.

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McCarthy, Kevin A. Using economic variables to explain stock market returns. Dublin: University CollegeDublin, 1996.

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Lamont, Owen A. Financial constraints and stock returns. Cambridge, MA: National Bureau of Economic Research, 1997.

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Jacobsen, Ben. Time series properties of stock returns. Amsterdam: Kluwer Bedrijfsinformatie, 1997.

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Book chapters on the topic "Stock prices; Returns"

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McMillan, David G. "Where Does Returns and Cash-Flow Predictability Occur? Evidence from Stock Prices, Earnings, Dividends and Cointegration." In Predicting Stock Returns, 9–26. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69008-7_2.

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Anghel, Andrei, Dallina Dumitrescu, and Cristiana Tudor. "Using Past Prices and Earnings to Derive Abnormal Returns over a Stock Index." In Entrepreneurship, Business and Economics - Vol. 2, 627–35. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-27573-4_40.

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Kartsonakis Mademlis, Dimitrios, and Nikolaos Dritsakis. "Volatility Between Oil Prices and Stock Returns of Dow Jones Index: A Bivariate GARCH (BEKK) Approach." In Advances in Time Series Data Methods in Applied Economic Research, 209–21. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-02194-8_16.

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Atu, Nurul Nazurah, Imbarine Bujang, and Norlida Jaafar. "Shock and Volatility Transmission Between Oil Prices and Stock Returns: Case of Oil-Importing and Oil-Exporting Countries." In Proceedings of the 2nd Advances in Business Research International Conference, 111–22. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6053-3_11.

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Kemna, Angelien G. Z. "Comments on Mario Levis “Market Size, PE Ratios, Dividend Yield and Share Prices: Their Impact on Common Stock Returns." In A Reappraisal of the Efficiency of Financial Markets, 197. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-74741-0_10.

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Kolari, James W., Wei Liu, and Jianhua Z. Huang. "Stock Return Data and Empirical Methods." In A New Model of Capital Asset Prices, 113–30. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-65197-8_5.

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Gumata, Nombulelo, and Eliphas Ndou. "Stock Price Returns, Volatility and Costly Asset Price Boom–Bust Episodes." In Bank Credit Extension and Real Economic Activity in South Africa, 149–79. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-43551-0_7.

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Kubota, Keiichi, and Hitoshi Takehara. "Risk and Return on the Tokyo Stock Exchange." In Reform and Price Discovery at the Tokyo Stock Exchange, 42–60. New York: Palgrave Macmillan US, 2015. http://dx.doi.org/10.1057/9781137540393_4.

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Zuo, Yi, Masaaki Harada, Takao Mizuno, and Eisuke Kita. "Bayesian Network Based Prediction Algorithm of Stock Price Return." In Intelligent Decision Technologies, 397–406. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29977-3_40.

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Ma, Jun, Zhenhua Su, and Mark E. Wohar. "The Stock Return Predictability and Stock Price Decomposition in the Chinese Equity Market." In Experiences and Challenges in the Development of the Chinese Capital Market, 150–70. London: Palgrave Macmillan UK, 2015. http://dx.doi.org/10.1057/9781137454638_8.

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Conference papers on the topic "Stock prices; Returns"

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Schabek, Tomasz, and Nijolė Maknickienė. "INFLUENCE OF MACROECONOMIC FACTORS ON STOCK PRICES IN POLAND – CROSS SECTION AND TIME SERIES ANALYSIS." In Business and Management 2018. VGTU Technika, 2018. http://dx.doi.org/10.3846/bm.2018.54.

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The purpose of the study is to determine if the macroeconomic factors influence rates of returns from broad index of stocks in Poland. The study investigates stability of relation between macroeconomic and stock market variables in short and long time period. After running time series regressions we check if selected macro variables are still significant in cross-section of stock returns including control variables like price to book value, capitalization and momentum. The study is based on large sample of individual rates of returns and macroeconomic variables describing real sphere of the economy. Mine findings suggest that the short and long term relation is statistically and economically significant although not stable in the both analysed time horizons. Macroeconomic beta parameter (sensitivity to macro variables measure) is not significant in cross-sectional test proving that traditionally accepted variables (in our study only price to book-value and momentum) still better explain the expected re-turns.
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Chen, Jian-bao, Ting-ting Cheng, and Deng-ling Wang. "Are There any Influences of Oil Prices to Chinese and American Stock Returns?" In 2009 International Joint Conference on Computational Sciences and Optimization, CSO. IEEE, 2009. http://dx.doi.org/10.1109/cso.2009.163.

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Kılıç, Süleyman Bilgin, and Salih Çam. "Estimation of Direction of Exchange Rate, Gold Price and Stock Market Returns with High Order Markov Chain Models." In International Conference on Eurasian Economies. Eurasian Economists Association, 2016. http://dx.doi.org/10.36880/c07.01736.

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This study uses a hybrid high order Markov Chains Model to predict direction of exchange rate, gold price and stock market returns with the Artificial Neural Network Algorithm as an estimator of transition probability matrix. Many forecasting techniques are used to examine the direction of returns forecasting in the literature such as Markov Chains Model and Artificial Neural Network Algorithm. In this study, it is aimed to combine these two techniques and to utilize the predict values of the Artificial Neural Network Algorithm for calculate transition probabilities matrix. Calculations show that the hybrid model gives high correct classification probabilities besides of well approximated transition probabilities. Returns series of USD/TRY exchange rate, closing price of Borsa Istanbul Stock Exchange and gold prices cover the period of 01/01/2003 and 31/01/2016. All series are obtained from database of Central Bank of Turkey. As a result, although the transition probabilities almost equal to 0.5 and so estimation of these series are not easy, the transition probabilities and correct classification probabilities gained from the hybrid model provide substantial information related to direction of returns forecasting. Besides, estimated model provide valuable information to individual investors and companies, and could help them to take position against to risks.
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Horng, Wann-Jyi, Ju-Lan Tsai, and Yung-Chin Chiu. "A Model of the Oil Prices' Return Rate Threshold for the Two Stock Market Returns: An Evidence Study of the U.S. and Canada's Stock Markets." In 2009 Fourth International Conference on Computer Sciences and Convergence Information Technology. IEEE, 2009. http://dx.doi.org/10.1109/iccit.2009.116.

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Dias, Rui, Paula Heliodoro, Paulo Alexandre, and Rita Silva. "TESTING THE WEAK FORM OF EFFICIENT MARKET HYPOTHESIS: EMPIRICAL EVIDENCE IN THE CONTEXT OF THE COVID-19 PANDEMIC." In Sixth International Scientific-Business Conference LIMEN Leadership, Innovation, Management and Economics: Integrated Politics of Research. Association of Economists and Managers of the Balkans, Belgrade, Serbia, 2020. http://dx.doi.org/10.31410/limen.s.p.2020.1.

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The COVID-19 outbreak caused several concerns all over the world. On January 30, 2020, the World Health Organization (WHO) declared it a global health emergency. This outbreak leads to a drastic change in people's lifestyles, causing lots of job losses all over the world and threaten the livelihood of millions of people since the firms closed to avoid virus propagation. In general, all economic activities were interrupted, and the stock markets had significant breaks. Due to these events, this essay pretends to analyse the efficiency, in its weak form, in the stock market indexes of France (CAC40), China (SSEC), South Korea (KOSPI), Germany (DAX 30), Italy (FTSE MID), Portugal (PSI 20), and Spain (IBEX 35), in the period of December 31, 2019, to August 10, 2020. To accomplish this research, different approaches were taken to analyse whether: (i) the countries affected by the global pandemic (COVID-19) caused (in) efficiency in their stock markets? The results suggest that the hypothesis of random walk in all the markets under study was rejected. Variance ratios' values are, in all cases, lower than the unity, which implies that the returns are auto correlated over time, and there is a reversion to the mean, in all indexes. The exponents Detrended Fluctuation Analysis (DFA), indicate significant long memories, i.e. they validate the results of the non-parametric test of Wright (2000), which comprises two types of tests, the Position test (Rankings) for homoscedastic series, and the Signal test for heteroscedastic series. These findings show that prices do not fully reflect the information available and that changes in prices are not independent and identically distributed. This situation has implications for investors since some returns can be expectable, creating opportunities for arbitrage and abnormal earnings. These conclusions also open space for market regulators to take measures to ensure better information in these regional markets.
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Silva, Rita, Rui Dias, Paula Heliodoro, and Paulo Alexandre. "RISK DIVERSIFICATION IN ASEAN-5 FINANCIAL MARKETS: AN EMPIRICAL ANALYSIS IN THE CONTEXT OF THE GLOBAL PANDEMIC (COVID-19)." In Sixth International Scientific-Business Conference LIMEN Leadership, Innovation, Management and Economics: Integrated Politics of Research. Association of Economists and Managers of the Balkans, Belgrade, Serbia, 2020. http://dx.doi.org/10.31410/limen.s.p.2020.15.

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The World Health Organization (WHO) has designated the new coronavirus infection as a global pandemic, based on the risk of contagion, and the number of confirmed cases in more than 195 countries. COVID-19 has an intense impact on the global economy, resulting from uncertainty and pessimism, with adverse effects on financial markets. Due to these events, this essay aims to estimate if the portfolio’s diversification is feasible in the financial markets of Indonesia, Malaysia, Philippines, Singapore, and Thailand (ASEAN-5), in the context of the global pandemic (Covid-19), regarding the period of July 1, 2019, to July 22, 2020. To achieve such an analysis, is intended to provide answers for two questions, namely: i) the global pandemic (Covid-19) has accentuated financial integration between the ASEAN-5 markets? ii) If so, can the persistence of returns affect the risk diversification of portfolios? The results obtained suggest that those regional markets present accentuated levels of integration. However, the Singapore's stock market index does not show any level of integration, indicating that the implementation of portfolio’s diversification strategies can be considered; however, the same can no longer be evident for the other ASEAN-5 markets. Additionally, we verified that the ASEAN-5 markets indicate persistence in returns, that is, the presence of accentuated long memories, except for the Singapore market (SGX). These findings show that prices do not fully reflect the information available and that changes in prices are not independent and identically distributed. This situation is found for investors, since some returns can be expected, creating opportunities for arbitrage and abnormal earnings. Corroborating the trendless cross-correlation coefficients (𝜆𝐷𝐶𝐶𝐴), proven evidence coefficients, mostly, suggest the existence of risk transmission between markets. In conclusion, the authors seek that the implementation of an efficient diversification strategy for portfolios requires agreement with the controversial application. These conclusions also open space for the regulators of these regional markets to take measures to ensure better information between these markets and international markets.
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Mohite, S. D. D. "Downstream Refining and Petrochemicals Challenges - Future Configuration." In SPE Energy Resources Conference. SPE, 2014. http://dx.doi.org/10.2118/spe-169979-ms.

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Abstract Precise predictions and solutions for tomorrow's needs are the key to building a growing, sustainable business. This requires a mixture of vision, strategic risk taking business model and investment in new technology. Refining trends forecast is useful for predicting possible landscape, where in challenge would be to meet twice the energy levels from today with half the CO2 emissions by 2030. Increasing and diversification of world's energy supplies to support the population of over 8 billion then would be a mammoth task, given that the triangle of energy, food and water will be crucial. Three fundamental factors that will influence and shape this setting are: Global products demand will rise by 1.1% - 1.3% annually by 2030 to over 115 million barrels per day, with marginal influence of crude oil prices;Reinforced legislation targeting reduction of GHG emissions, requiring improved clean transportation and bunker fuels - accounting 2/3rd of total demand and growth;Refining and Petrochemicals form the backbone of global economics and meeting demand with inevitable steady profitability is a major task possibly also using alternative unconventional sources. In competitive context – innovation, operational excellence and implementation of robust strategies are critical for sustenance and growth. Project returns can however be enhanced by incorporating integration principles and model at the design stage itself. Whilst development pace of new technologies would accelerate which can radically alter business structure in certain geographies, question remains on what makes a successful project come to fruition. The presentation discusses futuristic economic unlocking of value by application of technology models and best practices by utilizing various feed-stocks, including natural gas as a main competitor and maximum upgrading bottom-of-the-barrel. Besides, novel process designs and operational control would be squeezed as it is invariably the last fraction which is most difficult to remove! This paper contains forward-looking scenario about global Refining strategy, Petrochemicals feed-stock cost advantages, technology diversification routes to maximize returns from cheaper sources, financial performance and economics, growth opportunities in various countries, sectors or markets, besides a focus on Europe and GCC regions and current projects in Kuwait. However, these involve uncertainty as they depend mainly on future circumstances like commercializing R&D, not all of which can be controlled or accurately predicted, hence are directional for investment decisions.
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Chen, Ruey-Shii, Sing-Yu Lee, Sheng-Yun Yu, and Chun-Chieh Hsieh. "The Nature of News, Insider Ownership, Stock Price and Stock Returns." In 2009 First International Conference on Information Science and Engineering. IEEE, 2009. http://dx.doi.org/10.1109/icise.2009.1234.

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Sun, Tong, Jia Wang, Pengfei Zhang, Yu Cao, Benyuan Liu, and Degang Wang. "Predicting Stock Price Returns Using Microblog Sentiment for Chinese Stock Market." In 2017 3rd International Conference on Big Data Computing and Communications (BIGCOM). IEEE, 2017. http://dx.doi.org/10.1109/bigcom.2017.59.

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Yirui, Yuan. "Daily Equity Returns and Price Limit in China's Stock Market." In International Conference on Information System and Management Engineering. SCITEPRESS - Science and Technology Publications, 2015. http://dx.doi.org/10.5220/0006018200110014.

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Reports on the topic "Stock prices; Returns"

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Chen, Joseph, Harrison Hong, and Jeremy Stein. Forecasting Crashes: Trading Volume, Past Returns and Conditional Skewness in Stock Prices. Cambridge, MA: National Bureau of Economic Research, May 2000. http://dx.doi.org/10.3386/w7687.

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Gómez-González, José Eduardo, and Jorge Hirs-Garzón. Uncovering the time-varying nature of causality between oil prices and stock market returns : a multi-country study. Bogotá, Colombia: Banco de la República, August 2017. http://dx.doi.org/10.32468/be.1009.

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Bris, David le, William Goetzmann, and Sébastien Pouget. Testing Asset Pricing Theory on Six Hundred Years of Stock Returns: Prices and Dividends for the Bazacle Company from 1372 to 1946. Cambridge, MA: National Bureau of Economic Research, June 2014. http://dx.doi.org/10.3386/w20199.

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Carrasquilla-Barrera, Alberto, Arturo José Galindo-Andrade, Gerardo Hernández-Correa, Ana Fernanda Maiguashca-Olano, Carolina Soto, Roberto Steiner-Sampedro, and Juan José Echavarría-Soto. Report of the Board of Directors to the Congress of Colombia - July 2020. Banco de la República de Colombia, February 2021. http://dx.doi.org/10.32468/inf-jun-dir-con-rep-eng.07-2020.

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In Colombia, as well as in the rest of the world, the Covid-19 pandemic has seriously damaged the health and well-being of the people. In order to limit the damage, local and national authorities have had to order large sectors of the population to be confined at their homes for long periods of time. An inevitable consequence of isolation has been the collapse of economic activity, expenditure, and employment, a phenomenon that has hit many countries of the world affected by the disease. It is an unprecedented crisis in modern times, not so much for its intensity (which is undoubtedly immense), but because its origin is not economic. That is what makes it so unpredictable and difficult to manage. Naturally, its economic consequences are enormous. Governments and central banks from all over the world are struggling to mitigate them, but the final solution is not in the hands of the economic authorities. Only science can provide a way out. In the meantime, the economic indicators in Colombia and in the rest of the world cause concern. The output falls, the massive loss of jobs, and the closure of businesses of all sizes have become daily news. Added to this, there is the deterioration in global financial conditions and the increase in the risk indicators. Financial volatility has increased and stock indexes have fallen. In the face of the lower global demand, export prices of raw materials have fallen, affecting the terms of trade for producing countries. Workers’ remittances have declined due to the increase of unemployment in developed countries. This crisis has also generated a strong reduction of global trade of goods and services, and effects on the global value chains. Central banks around the world have reacted decisively and quickly with strong liquidity injections and significant cuts to their interest rates. By mid-July, such determined response had succeeded to revert much of the initial deterioration in global financial conditions. The stock exchanges stopped their fall, and showed significant recovery in several countries. Risk premia, which at the beginning of the crisis took an unusual leap, recorded substantial corrections. Something similar happened with the volatility indexes of global financial markets, which exhibited significant improvement. Flexibilization of confinement measures in some economies, broad global liquidity, and fiscal policy measures have also contributed to improve global external financial conditions, albeit with indicators that still do not return to their pre-Covid levels.
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