Individual Investor Sentiment and IPO Stock Returns: Evidence from the Korean Stock Market

2017 ◽  
Vol 46 (6) ◽  
pp. 876-902
Author(s):  
Chune Young Chung ◽  
Joohwan Kim ◽  
Jinwoo Park
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Investor Sentiment ◽  
Individual Investor ◽  
Korean Stock Market

scholarly journals Do Overnight Returns Truly Measure Firm-Specific Investor Sentiment in the KOSPI Market?

2019 ◽  
Vol 11 (13) ◽  
pp. 3718 ◽  
Author(s):  
Sang Ik Seok ◽  
Hoon Cho ◽  
Chanhi Park ◽  
Doojin Ryu
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Investor Sentiment ◽  
Market Returns ◽  
Short Term ◽  
Stock Market Returns ◽  
Different Types ◽  
Korean Stock Market ◽  
Korean Market

This study analyzes the effect of overnight returns on subsequent stock market returns and investigates whether they do capture investor sentiment in the Korean stock market. Recent study showed that overnight returns are similar to existing sentiment measures, and, thus, are suitable for measuring firm-specific investor sentiment in the U.S. market. Similarly, we found that, for firms in the Korean market, high overnight returns are followed by higher stock returns in the short term (i.e., two or three trading days) but lower stock returns in the long term. However, these effects do not differ for different types of firms (i.e., hard-to-value firms), whereas classical firm-specific sentiment indicators capture these differences. Overall, we found that overnight returns do not truly measure firm-specific investor sentiment in the Korean stock market even though they are partially related to investor sentiment.

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 The Linkage between Sentiments and Stock Market Dynamics New Evidence from Iran

2020 ◽  
Vol 9 (2) ◽  
pp. 29
Author(s):  
Heshmatollah Asgari ◽  
Hamed Najafi
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Screening Method ◽  
Market Price ◽  
Investor Sentiment ◽  
Financial Assets ◽  
Causality Test ◽  
Research Criteria ◽  
The Impact ◽  
The Relationship

In recent years, the issue of financial behaviour and the impact of investors’ sentiments on their decision making have become such a popular issue. The sentiments of financial activists affect the market price of financial assets and particularly stocks, and therefore it is included in the new pricing models of capital assets. In this article, we seek the effect of investors’ sentiments on the dynamics of the Iranian stock market (TSE). To do this, among the companies accepted in the stock market we select 120, considering the research criteria and screening method, we examined TSE specifics throughout 2010-2018 using regression analysis and causality test. Our results show that firstly investors’ sentiments have a direct effect on the stock returns and there is a bilateral relationship between them. Secondly, inflation has the opposite effect and economic growth has a direct and positive effect on the relationship between investor sentiment and stock returns. Finally, government spending has no significant effect on the relationship between investor sentiment and stock returns.

scholarly journals Investor Sentiment in the Stock Market

2007 ◽  
Vol 21 (2) ◽  
pp. 129-151 ◽  
Author(s):  
Malcolm Baker ◽  
Jeffrey Wurgler
Keyword(s):  
Stock Market ◽  
Behavioral Finance ◽  
Stock Prices ◽  
Investor Sentiment ◽  
Cash Flows ◽  
Individual Investors ◽  
Individual Investor ◽  
Top Down ◽  
Limits To Arbitrage ◽  
Future Cash Flows

Investor sentiment, defined broadly, is a belief about future cash flows and investment risks that is not justified by the facts at hand. The question is no longer whether investor sentiment affects stock prices, but how to measure investor sentiment and quantify its effects. One approach is “bottom up,” using biases in individual investor psychology, such as overconfidence, representativeness, and conservatism, to explain how individual investors underreact or overreact to past returns or fundamentals The investor sentiment approach that we develop in this paper is, by contrast, distinctly “top down” and macroeconomic: we take the origin of investor sentiment as exogenous and focus on its empirical effects. We show that it is quite possible to measure investor sentiment and that waves of sentiment have clearly discernible, important, and regular effects on individual firms and on the stock market as a whole. The top-down approach builds on the two broader and more irrefutable assumptions of behavioral finance—sentiment and the limits to arbitrage—to explain which stocks are likely to be most affected by sentiment. In particular, stocks that are difficult to arbitrage or to value are most affected by sentiment.

scholarly journals Measuring Stock Market Investor Sentiment

2012 ◽  
Vol 29 (1) ◽  
pp. 51 ◽  
Author(s):  
Francisca Beer ◽  
Mohamed Zouaoui
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Behavioral Finance ◽  
Hybrid Approach ◽  
Composite Index ◽  
Investor Sentiment ◽  
Predictive Ability ◽  
Relative Performance ◽  
Relative Efficacy ◽  
Noise Traders

Recently, investor sentiment measures have become one of the more widely examined areas in behavioral finance. A number of measures have been developed in the literature without having been fully validated, and therefore leaving in question which measure should be used for empirical exploration. The purpose of this study is to examine the relative performance of a number of popular measures in predicting stock returns and to test the relative efficacy of a hybrid approach. Using a panel of investor sentiment measures, we develop a new measure of sentiment which combines direct and indirect sentiment measures. Our results show that our composite sentiment index affects the returns of stocks hard to value and difficult to arbitrage consistent with the predictions of noise traders models. Finally, we find that our composite index has a better predictive ability than the alternative sentiment measures largely used in the literature.

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