The impact of idiosyncratic volatility on the investors' herd behavior in the Chinese Stock Market (original) (raw)

Does herding behavior exist in Chinese stock markets?

Journal of International Financial Markets, Institutions and Money, 2006

This paper examines the presence of herd formation in Chinese markets using both individual firm-and sector-level data. We analyze the behavior of return dispersions during periods of unusually large upward and downward changes in the market index. We also distinguish between the Shanghai and Shenzhen stock exchanges at the sector-level. Our findings indicate that herd formation does not exist in Chinese markets. We find that equity return dispersions are significantly higher during periods of large changes in the aggregate market index. However, comparing return dispersions for upside and downside movements of the market, we observe that return dispersions during extreme downside movements of the market are much lower than those for upside movements, indicating that stock returns behave more similarly during down markets. The findings support rational asset pricing models and market efficiency. Policy implications of the results for policymakers are discussed.

Time-Varying Herding Behavior, Global Financial Crisis, and the Chinese Stock Market

Review of Pacific Basin Financial Markets and Policies, 2015

In this paper, we examine evidence of herding behavior on the Chinese stock market. Our main findings are as follows. First, we find strong evidence of herding behavior on both the Shanghai and Shenzhen stock exchanges. Second, we document evidence of asymmetric herding behavior with greater magnitude of herding behavior on up markets than on down markets. Third, our findings suggest that herding behavior is sectorspecific and predominant in the industrial and properties sectors. Finally, we unravel strong evidence suggesting that herding behavior is time-varying and in some sectors time-varying herding behavior is more prevalent than in other sectors.

Investor herding behaviour of Chinese stock market

International Review of Economics & Finance, 2014

This paper examines the existence and prevalence of investor herding behaviour in a segmented market setting, the Chinese A and B stock markets. It is the first study to detail the difference in herding behaviour across A and B markets. The results indicate that investors exhibit different levels of herding behaviour, in particular, herding strongly exists in the B-share markets. We also find that across markets herding behaviour is more prevalent at industry-level, is stronger for the largest and smallest stocks, and is stronger for growth stocks relative to value stocks. Herding behaviour is also more pronounced under conditions of declining markets. Over the sample period we are examining, herding behaviour diminishes over time. The results provide some indication to the effectiveness of regulatory reforms in China aimed at improving information efficiency and market integration.

Herding behaviour and market dynamic volatility: evidence from the US stock markets

American J. of Finance and Accounting, 2015

This paper documents the effect of herd behaviour on the US S&P100 and US DJIA stock market's stocks volatility. We investigated the presence and the change of herding behaviour in the US S&P100 and US DJIA stock markets during January 2000 to July 2012. Results provide strong and coherent evidence on the occurrence of herding at only daily frequency. In particular, the findings indicated a significant change in herding tendency across sub-periods of the subprime crisis. The different tests report that herding is only prevailing during bull period and during days of high trading volumes. Moreover, empirical evidences report a significant relationship between market sentiment and herd behaviour. We show that herding contributes not only in fuelling market excessive volatility but also in raising the housing bubble during the subprime crisis. Surprisingly, we find that asymmetric herding exists during days of low volatility.

Herding behavior in Chinese stock markets: An examination of A and B shares

Pacific-Basin Finance Journal, 2008

This paper examines the dynamic correlation structure between A-share and B-share stock returns based on three different measures of correlation coefficients. Testing the models by employing daily stock-return data for the period from 1996 through 2003, we reach the following empirical conclusions. First, the correlation coefficients between A-share and B-share stock returns are time varying. Second, the dynamic path of the correlation coefficients indicates that the correlation coefficients are significantly correlated with the trend factor. Third, there is a substantial spillover effect from the Asian crisis to Chinese stockreturn dynamic correlations. Fourth, the evidence suggests that the time-varying correlations are significantly associated with excessive trading activity as measured by excessive trading volumes and high-low price differentials. Fifth, the correlation between A-share and B-share markets has increased since the relaxation of the restriction on B-share market investments by domestic investors. yAs a process of operating and developing the Chinese stock markets, issues of Chinese stocks are mainly divided into A shares (SHA and SZA) and B shares (SHB and SZB); both A shares and B shares are listed on the Shanghai Stock Exchange (SHSE) and the Shenzhen Stock Exchange (SZSE) of mainland China. A shares can be purchased and traded by domestic (Chinese) investors only, and values are denominated in their local currency, the renminbi (RMB). Before February 2001, B shares were sold to foreign investors only, but they have been sold to both foreign and domestic investors since then.

Market Regimes and Herding Behavior in Chinese A and B Shares

This paper presents a dynamic analysis of herding behavior in China's segmented stock markets in a regime-changing framework. Using firm-level data on the A-shares (traded only by domestic investors) and B-shares (dominated by foreign institutional investors), we examine information flows between market segments during low, high and extreme (or crash) volatility regimes. The findings suggest that herding behavior is asymmetric, observed during the high and crash volatility periods only. We also find significant cross market herding effects between the A-and B-share markets, suggesting that foreign institutional investors (in the B-share markets) engage in herding behavior by following domestic investors (in the A share markets). Finally, we find that domestic investors in China herd around the Hong Kong market during the high and crash volatility regimes, whereas no significant U.S. herding effect is observed. JEL Classification Code: C32, G11, G15

Empirical Analysis of Herding Behavior in Asian Stock Markets

Chapman & Hall/CRC Finance Series, 2009

Christie and Huang (1995) noted that the investment decision-making process used by market participants depends on overall market conditions. In particular, during normal periods, rational asset-pricing models

An empirical analysis of herd behavior in global stock markets

This paper examines herding behavior in global markets. By applying daily data for 18 countries from May 25, 1988, through April 24, 2009, we find evidence of herding in advanced stock markets (except the US) and in Asian markets. No evidence of herding is found in Latin American markets. Evidence suggests that stock return dispersions in the US play a significant role in explaining the non-US market’s herding activity. With the exceptions of the US and Latin American markets, herding is present in both up and down markets, although herding asymmetry is more profound in Asian markets during rising markets. Evidence suggests that crisis triggers herding activity in the crisis country of origin and then produces a contagion effect, which spreads the crisis to neighboring countries. During crisis periods, we find supportive evidence for herding formation in the US and Latin American markets.

Do investors herd in emerging stock markets?: Evidence from the Taiwanese market

Journal of Economic Behavior & Organization, 2010

This paper has three main contributions to the literature on investor herds. First, it extends investor herding studies to an emerging yet relatively sophisticated Taiwanese stock market at the sector level by using firm level data. Second, it employs different methodologies designed to test the existence of investor herds to better understand the sources of herd behavior. Third, it discusses the implications of different herding measures for investors exposed to systematic and unsystematic risks. We find that the linear model based on the cross sectional standard deviation (CSSD) testing methodology yields no significant evidence of herding. However, the non-linear model proposed by and the state space based models of lead to consistent results indicating strong evidence of herd formation in all sectors. We also find that the herding effect is more prominent during periods of market losses. Our results suggest limited diversification opportunities for investors in this market, especially during periods of market losses when diversification is most needed. Further research is necessary to see whether similar findings hold for other emerging markets.

Investigative Study of Investor’s Herding Behavior During Bullish and Bearish Market: A Case of Pakistan Stock Exchange

European Journal of Business and Management Research, 2021

This study investigates the influence of herd behavior on the Pakistan stock exchange indexes KSE-100 and KSE-30 during bullish and bearish markets. Using the daily market return from 2007 to 2020. We implement the method of main herding measures, Cross-sectional absolute deviation, and Cross-sectional standard deviation, to explore the influence of herd behavior in the emerging market of Pakistan. The results indicate the presence of market-wide herd behavior: (a) along with the different direction of market positive and negative return, (b) when trading volume high, (c) when stock market highly volatile, and (d) during and the post-financial crisis. Moreover, Investors don’t herd when low trading volume and low volatility. Our study fills the gap in the literature and contributes to academic relevance by exploring the influence of herd behavior among both bull and bear periods in markets of Pakistan, it also examines the possible asymmetric effects of herding related to the market...