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An empirical analysis of herd behavior in global stock markets

Journal of Banking & Finance 2010 34(8), 1911-1921
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.

Downside risk and stock returns in the G7 countries: An empirical analysis of their long-run and short-run dynamics

Journal of Banking & Finance 2018 93, 21-32 open access
Any risk-return tradeoff analysis in aggregate equity markets relies on appropriate measures of risk, in most studies based on (co-)variance relations. Consequently, in integrated global markets, country-specific expected return is priced with a world price of covariance risk. This study relates domestic excess stock returns to the world downside risk. Evidence shows that downside tail risk (as a multiplier of volatility) has long memory cointegration properties; hence, the underlying risk aversion behavior in an integrated market is associated with the conditional quantile ratio, the correlation of stock returns, and the cointegrating coefficient of downside risk. Our empirical results based on G7 countries indicate that investors are averse to downside risk, which via Cornish–Fisher expansions is related to higher moment risk and interpretable in a utility-based decision framework.