Academic literature on the topic 'Stock Returns'
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Journal articles on the topic "Stock Returns"
Miasary, Seftina Diyah. "PENERAPAN VECTOR AUTOREGRESSIVE (VAR) DALAM MEMPREDIKSI RETURN SAHAM DI INDONESIA." Jurnal Edukasi dan Sains Matematika (JES-MAT) 8, no. 2 (September 30, 2022): 171–80. http://dx.doi.org/10.25134/jes-mat.v8i2.6225.
Full textZevallos, Mauricio, and Carlos del Carpio. "Metal Returns, Stock Returns and Stock Market Volatility." Economia 38, no. 75 (August 1, 2015): 101–22. http://dx.doi.org/10.18800/economia.201501.003.
Full textMonita, Sonya Dwi. "Pengaruh Return On Equity dan Debt To Equity Ratio terhadap Return Saham dengan Price To Book Value sebagai Variabel Intervening." Journal of Business and Economics (JBE) UPI YPTK 7, no. 3 (September 26, 2022): 402–8. http://dx.doi.org/10.35134/jbeupiyptk.v7i3.191.
Full textVidović, Jelena. "Risk-return-volume causality on the Croatian stock market." Ekonomski vjesnik 37, no. 1 (2024): 79–92. http://dx.doi.org/10.51680/ev.37.1.6.
Full textWONG, HOCK TSEN. "REAL EXCHANGE RATE RETURNS AND REAL STOCK PRICE RETURNS IN THE STOCK MARKET OF MALAYSIA." Singapore Economic Review 64, no. 05 (December 12, 2016): 1319–49. http://dx.doi.org/10.1142/s0217590816500387.
Full textKim, Dongnyoung, and Tih Koon Tan. "Ex-post stock return behaviour of corporate restructurings and corporate control." Review of Accounting and Finance 15, no. 4 (November 14, 2016): 484–98. http://dx.doi.org/10.1108/raf-05-2015-0066.
Full textLumban Batu, Leon Franciscus, Rina Br Bukit, and Narumondang Bulan Siregar. "Return on Equity, Cash Ratio & Debt Equity Ratio Affect Stock Returns in the Banking Industry Listed on the IDX With Non-Performing Loans as a Moderating Variable." International Journal of Research and Review 10, no. 7 (July 28, 2023): 867–77. http://dx.doi.org/10.52403/ijrr.202307101.
Full textHeny 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.
Full textHuang, Fangzhou. "The impact of downside risk on UK stock returns." Review of Accounting and Finance 18, no. 1 (February 11, 2019): 53–70. http://dx.doi.org/10.1108/raf-07-2017-0139.
Full textTruong, Loc Dong, H. Swint Friday, and Tran My Ngo. "Market Reaction to Delisting Announcements in Frontier Markets: Evidence from the Vietnam Stock Market." Risks 11, no. 11 (November 16, 2023): 201. http://dx.doi.org/10.3390/risks11110201.
Full textDissertations / Theses on the topic "Stock Returns"
Zevallos, Mauricio, and Carlos del Carpio. "Metal Returns, Stock Returns and Stock Market Volatility." Economía, 2015. http://repositorio.pucp.edu.pe/index/handle/123456789/118122.
Full textDada la amplia participación de acciones mineras en el mercado de valores peruano, la Bolsa de Valores de Lima (BVL) resulta un escenario ideal para explorar tanto el impacto de los ren- dimientos de acciones de metales en los rendimientos de las acciones mineras y la volatilidad del Mercado de valores, así como los co-movimientos entre los rendimientos de las acciones mineras y los rendimientos de los metales. Este estudio es un primer intento en explorar estos temas usando precios internacionales de los metales y los precios de las acciones mineras más importantes de la BVL y del índice IGBVL. Para conseguir esto, hemos usado modelos GARCHunivariados para modelar las volatilidades individuales, y el método de Media Móvil Ponderada Exponencialmente (EWMA) y modelos GARCH multivariados con correlaciones de variantes en el tiempo a modelos de co-movimientos en rendimientos. Hemos encontrado que las volatilidades imitan el comportamiento de las volatilidades de los metales y que hay importantes niveles de correlación entre los metales y el retorno de las acciones mineras. Adicionalmente, encontramos correlaciones variantes en el tiempo con un comportamiento distintivo en periodos diferentes, el que aumenta potencialmente en relación con eventos históricos internacionales o nacionales.
Kunze, Karl-Kuno, and Hans Gerhard Strohe. "Antipersistence in German stock returns." Universität Potsdam, 2010. http://opus.kobv.de/ubp/volltexte/2010/4558/.
Full textBrookins, Benjamin David Lee. "Investor sentiment and stock returns." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/88379.
Full textTitle as it appears in MIT degrees awarded booklet, February 2014: Sentiment shocks and stock returns. Cataloged from PDF version of thesis.
Includes bibliographical references (page 45).
Since Keynes coined the term animal spirits economists have been debating what the real impact human psychology is on economic variables. The major challenge in identifying these effects is the close ties between negative (positive) emotions and poor (good) future real outlook. I exploit a historical weighting anomaly in a widely cited US stock index to examine the impact of psychology on stock returns. I first argue this is a plausibly exogenous shock, and compare this measure to other measures found in the literature. I find that the measure doesn't seem to relate to previous proxies for investor sentiment, however, when I examine survey measures of interest rates and consumer confidence we find a relationship. I then examine how sentiment affects the cross section of stock returns, consistent with predictions I find that small stocks earn low subsequent returns when sentiment is low, and high returns when sentiment is high.
by Benjamin David Lee Brookins.
S.M. in Management Research
BARADARANNIA, Mohammadreza. "Liquidity And Expected Stock Returns." Thesis, The University of Sydney, 2013. http://hdl.handle.net/2123/9367.
Full textAbhakorn, Pongrapeeporn. "The cross-section of stock returns." Thesis, University of York, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.428059.
Full textRytchkov, Oleg. "Essays on predictability of stock returns." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/42333.
Full textIncludes bibliographical references.
This thesis consists of three chapters exploring predictability of stock returns. In the first chapter, I suggest a new approach to analysis of stock return predictability. Instead of relying on predictive regressions, I employ a state space framework. Acknowledging that expected returns and expected dividends are unobservable, I use the Kalman filter technique to extract them from the observed history of realized dividends and returns. The suggested approach explicitly accounts for the possibility that dividend growth can be predictable. Moreover, it appears to be more robust to structural breaks in the long-run relation between prices and dividends than the conventional OLS regression. I show that for aggregate stock returns the constructed forecasting variable provides statistically and economically significant predictions both in and out of sample. The likelihood ratio test based on a simulated finite sample distribution of the test statistic rejects the hypothesis of constant expected returns at the 1% level. In the second chapter, I analyze predictability of returns on value and growth portfolios and examine time variation of the value premium. As a major tool, I use the filtering technique developed in the first chapter. I construct novel predictors for returns and dividend growth on the value and growth portfolios and find that returns on growth stocks are much more predictable than returns on value stocks. Applying the appropriately modified state space approach to the HML portfolio, I build a novel forecaster for the value premium. Consistent with rational theories of the value premium, the expected value premium is time-varying and countercyclical. In the third chapter, based on the joint work with Igor Makarov, I develop a dynamic asset pricing model with heterogeneously informed agents.
(cont.) I focus on the general case in which differential information leads to the problem of "forecasting the forecasts of others" and to non-trivial dynamics of higher order expectations. I prove that the model does not admit a finite number of state variables. Using numerical analysis, I compare equilibria characterized by identical fundamentals but different information structures and show that the distribution of information has substantial impact on equilibrium prices and returns. In particular, asymmetric information might generate predictability in returns and high trading volume.
by Oleg Rytchkov.
Ph.D.
Setiono, Bambang. "Financial statement information and stock returns." Thesis, University of Manchester, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.629949.
Full textKlähn, Judith. "The predictability of German stock returns /." Wiesbaden : Wiesbaden : Deutscher Universitäts-Verlag ; Gabler, 2000. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=008969264&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.
Full textLin, Gang. "Nesting regime-switching GARCH models and stock market volatility, returns and the business cycle /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 1998. http://wwwlib.umi.com/cr/ucsd/fullcit?p9906497.
Full textKruger, 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.
Full textENGLISH 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.
Books on the topic "Stock Returns"
McMillan, David G. Predicting Stock Returns. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-69008-7.
Full textLivdan, Dmitry. Financially constrained stock returns. Cambridge, Mass: National Bureau of Economic Research, 2006.
Find full textHjalmarsson, Erik. Predicting global stock returns. Washington, D.C: Federal Reserve Board, 2008.
Find full textSchwert, G. William. Heteroskedasticity in stock returns. Cambridge, MA: National Bureau of Economic Research, 1989.
Find full textLamont, Owen A. Investment plans and stock returns. Cambridge, MA: National Bureau of Economic Research, 1999.
Find full textCalvet, Laurent E. Multifrequency news and stock returns. Cambridge, MA: National Bureau of Economic Research, 2005.
Find full textTitman, Sheridan. Capital investments and stock returns. Cambridge, Mass: National Bureau of Economic Research, 2003.
Find full textCalvet, Laurent E. Multifrequency news and stock returns. Cambridge, Mass: National Bureau of Economic Research, 2005.
Find full textLamont, Owen A. Financial constraints and stock returns. Cambridge, MA: National Bureau of Economic Research, 1997.
Find full textAsquith, Paul. Short interest and stock returns. Cambridge, MA: National Bureau of Economic Research, 2004.
Find full textBook chapters on the topic "Stock Returns"
McMillan, David G. "Introduction." In Predicting Stock Returns, 1–7. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69008-7_1.
Full textMcMillan, 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.
Full textMcMillan, David G. "Forecasting Stock Returns—Historical Mean Vs. Dividend Yield: Rolling Regressions and Time-Variation." In Predicting Stock Returns, 27–56. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69008-7_3.
Full textMcMillan, David G. "Returns and Dividend Growth Switching Predictability." In Predicting Stock Returns, 57–75. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69008-7_4.
Full textMcMillan, David G. "Which Variables Predict and Forecast Stock Market Returns?" In Predicting Stock Returns, 77–101. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69008-7_5.
Full textMcMillan, David G. "Forecast and Market Timing Power of the Model and the Role of Inflation." In Predicting Stock Returns, 103–29. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69008-7_6.
Full textMcMillan, David G. "Summary and Conclusion." In Predicting Stock Returns, 131–33. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69008-7_7.
Full textPolitis, Dimitris N., Joseph P. Romano, and Michael Wolf. "Subsampling Stock Returns." In Springer Series in Statistics, 291–314. New York, NY: Springer New York, 1999. http://dx.doi.org/10.1007/978-1-4612-1554-7_13.
Full textWu, Kekun. "Nonstationarity of Stock Returns." In Difference Equations, Discrete Dynamical Systems and Applications, 153–65. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24747-2_12.
Full textSingh, Shveta, P. K. Jain, and Surendra Singh Yadav. "Volatility in Stock Returns." In India Studies in Business and Economics, 145–60. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-0868-9_7.
Full textConference papers on the topic "Stock Returns"
Horng, Wann-Jyi, and Jun-Yen Lee. "An Impact of U.S. and U.K. Stock Return Rates' Volatility on the Stock Market Returns: An Evidence Study of Germany's Stock Market Returns." In 2008 Third International Conference on Convergence and Hybrid Information Technology (ICCIT). IEEE, 2008. http://dx.doi.org/10.1109/iccit.2008.415.
Full textKim, Youngsoo, and Jung Chul Park. "PRESIDENTIAL POWER AND STOCK RETURNS." In 48th International Academic Conference, Copenhagen. International Institute of Social and Economic Sciences, 2019. http://dx.doi.org/10.20472/iac.2019.048.026.
Full textAssagaf, Aminullah, Meithiana Indrasari, and Eddy Yunus. "Determinants of Stock Returns on the Indonesian Stock Exchange." In Proceedings of the 1st Asian Conference on Humanities, Industry, and Technology for Society, ACHITS 2019, 30-31 July 2019, Surabaya, Indonesia. EAI, 2019. http://dx.doi.org/10.4108/eai.30-7-2019.2287602.
Full text"ARE SECURITIZED REAL ESTATE RETURNS MORE PREDICTABLE THAN STOCK RETURNS?" In 15th Annual European Real Estate Society Conference: ERES Conference 2008. ERES, 2008. http://dx.doi.org/10.15396/eres2008_252.
Full textChang, Ya-chi, Sheng-yun Yu, and Ruey-shii Chen. "Industry Concentration, Profitability and Stock Returns." In 2010 International Conference on Information Management, Innovation Management and Industrial Engineering (ICIII). IEEE, 2010. http://dx.doi.org/10.1109/iciii.2010.333.
Full textZeng, Kailin, Ebenezer Fiifi Emire Atta Mills, Xiuzhi Zhang, and Shaolong Zeng. "Co-momentum and Stock Market Returns." In Proceedings of the Third International Conference on Economic and Business Management (FEBM 2018). Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/febm-18.2018.27.
Full textXie, Mengni. "Chinese Investor Sentiment and Stock Returns." In 2016 International Conference on Economics and Management Innovations. Paris, France: Atlantis Press, 2016. http://dx.doi.org/10.2991/icemi-16.2016.39.
Full textMalchev, Bojan. "Financial Performance Indicators and Stock Returns: A Decade-Long Analysis of MBI10 Firms in North Macedonia." In Economic and Business Trends Shaping the Future. Ss Cyril and Methodius University, Faculty of Economics-Skopje, 2023. http://dx.doi.org/10.47063/ebtsf.2023.0008.
Full textDevi, M. Uma, P. Akilandeswari, and M. Eliazer. "Stock Market Ontology-Based Knowledge Management for Forecasting Stock Trading." In International Research Conference on IOT, Cloud and Data Science. Switzerland: Trans Tech Publications Ltd, 2023. http://dx.doi.org/10.4028/p-02laqd.
Full textSmerkolj, Nik, and Marko Jeran. "Testing Market Efficiency in Emerging Markets’ Stock Indices with Runs Tests." In Socratic Lectures 8. University of Lubljana Press, 2023. http://dx.doi.org/10.55295/psl.2023.ii17.
Full textReports on the topic "Stock Returns"
Schwert, G. William, and Paul Seguin. Heteroskedasticity in Stock Returns. Cambridge, MA: National Bureau of Economic Research, May 1989. http://dx.doi.org/10.3386/w2956.
Full textLivdan, Dmitry, Horacio Sapriza, and Lu Zhang. Financially Constrained Stock Returns. Cambridge, MA: National Bureau of Economic Research, October 2006. http://dx.doi.org/10.3386/w12555.
Full textPastor, Lubos, and Pietro Veronesi. Political Cycles and Stock Returns. Cambridge, MA: National Bureau of Economic Research, February 2017. http://dx.doi.org/10.3386/w23184.
Full textBordalo, Pedro, Nicola Gennaioli, Rafael La Porta, and Andrei Shleifer. Diagnostic Expectations and Stock Returns. Cambridge, MA: National Bureau of Economic Research, September 2017. http://dx.doi.org/10.3386/w23863.
Full textMaggio, Marco Di, Amir Kermani, and Kaveh Majlesi. Stock Market Returns and Consumption. Cambridge, MA: National Bureau of Economic Research, January 2018. http://dx.doi.org/10.3386/w24262.
Full textAsquith, Paul, Parag Pathak, and Jay Ritter. Short Interest and Stock Returns. Cambridge, MA: National Bureau of Economic Research, April 2004. http://dx.doi.org/10.3386/w10434.
Full textLamont, Owen, Christopher Polk, and Jesus Saa-Requejo. Financial Constraints and Stock Returns. Cambridge, MA: National Bureau of Economic Research, October 1997. http://dx.doi.org/10.3386/w6210.
Full textLamont, Owen. Investment Plans and Stock Returns. Cambridge, MA: National Bureau of Economic Research, February 1999. http://dx.doi.org/10.3386/w6973.
Full textChan, Konan, Louis K. Chan, Narasimhan Jegadeesh, and Josef Lakonishok. Earnings Quality and Stock Returns. Cambridge, MA: National Bureau of Economic Research, May 2001. http://dx.doi.org/10.3386/w8308.
Full textTitman, Sheridan, K. C. John Wei, and Feixue Xie. Capital Investments and Stock Returns. Cambridge, MA: National Bureau of Economic Research, September 2003. http://dx.doi.org/10.3386/w9951.
Full text