Investor Sentiment, Stock Returns, and Firm Characteristics: Evidence from a Leading Emerging Market

2016 ◽  
Author(s):  
Doojin Ryu ◽  
Doowon Ryu ◽  
Heejin Yang
Keyword(s):  
Stock Returns ◽  
Emerging Market ◽  
Investor Sentiment ◽  
Firm Characteristics

The relationship between individual investor sentiment, stock return and volatility

2015 ◽  
Vol 10 (3) ◽  
pp. 504-520 ◽  
Author(s):  
Mustafa Sayim ◽  
Hamid Rahman
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Stock Return ◽  
Emerging Market ◽  
Investor Sentiment ◽  
Individual Investor ◽  
Content Type ◽  
Investor Sentiments ◽  
Market Fundamentals ◽  
The Impact

Purpose – The purpose of this paper is to examine the impact of Turkish individual investor sentiment on the Istanbul Stock Exchange (ISE) and to investigate whether investor sentiment, stock return and volatility in Turkey are related. Design/methodology/approach – This study used the monthly Turkish Consumer Confidence Index, published by the Turkish Statistical Institute, as a proxy for individual investor sentiments. First, Turkish market fundamentals were regressed on investor sentiments in order to capture the effects of macroeconomic risk factors on investor sentiments. Then, it used the impulse response functions (IRFs) generated from the vector autoregression (VAR) model to examine the effect of unanticipated movements in Turkish investor sentiment to both stock returns and volatility of the ISE. Findings – The generalized IRFs from VAR shows that unexpected changes in rational and irrational investor sentiment have a significant positive impact on ISE returns. This suggests that a positive investor sentiment tends to increase ISE returns. The study also documents that unanticipated increase in the rational component of Turkish investor sentiment has a negative significant effect on ISE volatility. This might indicate that investors have optimistic expectations of the economy overall with respect to market fundamentals in Turkey. This optimism can result in creating positive expectations, reducing uncertainty, and reducing the volatility of stock market returns. Research limitations/implications – The study was applied only for the period 2004-2010 on the ISE stock returns and volatility. Practical implications – Regardless, investors should know the impact of irrational investor sentiments while establishing investment strategies. The results of this study may also help policy makers stabilize investor sentiments to reduce stock market volatility and uncertainty. Originality/value – This paper adds to the limited understanding of investor sentiment impact on stock return and volatility in an emerging market context.

scholarly journals Value Risk Premium and Stock Returns in Kenya: Exploring the Moderating Effect of Investor Sentiment

2021 ◽  
Vol 7 (3) ◽  
Author(s):  
Nebat Galo Mugenda ◽  
Tobias Olweny ◽  
Joshua M. Wepukhulu
Keyword(s):  
Time Series ◽  
Asset Pricing ◽  
Stock Returns ◽  
Portfolio Management ◽  
Risk Premium ◽  
Emerging Market ◽  
Investor Sentiment ◽  
Small Sample ◽  
Moderating Effect ◽  
Series Data

Purpose:Prior literature has focused on the direct effect of firm level fundamental characteristics on stock returns while ignoring the likely effect of investor irrationality on asset pricing decisions. The purpose of this study is to investigate the role of investor sentiment in the relationship between value risk premium and stock returns in Kenya. Design/methodology/approach: The study utilized monthly time series data for 60 companies listed at the NSE over the recent 9 years from 2011-2019. The study employed time series regression using ARDL and VEC estimation techniques to examine whether the effect of value risk on stock returns will vary with level of investor sentiment. Findings: Results show weak evidence for existence of value risk premium at the NSE using the main effects model. The pricing effect of value risk premium is however enhanced in the interaction model. The interaction though not significant implying that there is no moderating effect of sentiment. Research limitations: The shorter nine-year period considered by the study could be a source of small sample bias in the estimation. Sample periods for studies in mature markets span for over decades. In this light, making comparison of the findings in this thesis with those of other related studies may not be feasible. Originality/Value: This study is first of its kind to analyze the moderating effect of investor behavior on asset pricing for an emerging market. The paper contributes to portfolio management and asset pricing literature for emerging markets.

When the Market Went Viral: COVID-19, Stock Returns, and Firm Characteristics

2020 ◽  
Author(s):  
Avijit Bansal ◽  
Balagopal Gopalakrishnan ◽  
Joshy Jacob ◽  
Pranjal Srivastava
Keyword(s):  
Stock Returns ◽  
Firm Characteristics

A Transaction-Cost Perspective on the Multitude of Firm Characteristics

2020 ◽  
Vol 33 (5) ◽  
pp. 2180-2222 ◽  
Author(s):  
Victor DeMiguel ◽  
Alberto Martín-Utrera ◽  
Francisco J Nogales ◽  
Raman Uppal
Keyword(s):  
Transaction Costs ◽  
Stock Returns ◽  
Firm Characteristics ◽  
Pricing Models ◽  
Oxford University ◽  
Asset Pricing Models ◽  
Economic Rationale ◽  
Underlying Stocks ◽  
Different Characteristics ◽  
Published Paper

Abstract We investigate how transaction costs change the number of characteristics that are jointly significant for an investor’s optimal portfolio and, hence, how they change the dimension of the cross-section of stock returns. We find that transaction costs increase the number of significant characteristics from 6 to 15. The explanation is that, as we show theoretically and empirically, combining characteristics reduces transaction costs because the trades in the underlying stocks required to rebalance different characteristics often cancel out. Thus, transaction costs provide an economic rationale for considering a larger number of characteristics than that in prominent asset-pricing models. Authors have furnished an Internet Appendix, which is available on the Oxford University Press Web site next to the link to the final published paper online.

Conditional stock liquidity premium: is Warsaw stock exchange different?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Szymon Stereńczak
Keyword(s):  
Emerging Markets ◽  
Stock Returns ◽  
Stock Exchange ◽  
Emerging Market ◽  
Market Liquidity ◽  
Investment Horizon ◽  
Liquidity Premium ◽  
Stock Liquidity ◽  
Content Type ◽  
Bear Market

Purpose This paper aims to empirically indicate the factors influencing stock liquidity premium (i.e. the relationship between liquidity and stock returns) in one of the leading European emerging markets, namely, the Polish one. Design/methodology/approach Various firms’ characteristics and market states are analysed as potentially affecting liquidity premiums in the Polish stock market. Stock returns are regressed on liquidity measures and panel models are used. Liquidity premium has been estimated in various subsamples. Findings The findings vividly contradict the common sense that liquidity premium raises during the periods of stress. Liquidity premium does not increase during bear markets, as investors lengthen the investment horizon when market liquidity decreases. Liquidity premium varies with the firm’s size, book-to-market value and stock risk, but these patterns seem to vanish during a bear market. Originality/value This is one of the first empirical papers considering conditional stock liquidity premium in an emerging market. Using a unique methodological design it is presented that liquidity premium in emerging markets behaves differently than in developed markets.

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