We examine the pricing of aggregate volatility risk in the cross-section of stock returns. Consistent with theory, we find that stocks with high sensitivities to innovations in aggregate volatility have low average returns. Stocks with high idiosyncratic volatility relative to the Fama and French (1993, Journal of Financial Economics 25, 2349) model have abysmally low average returns. This phen...

This study investigates the algorithm of effective option trading strategy based on the superior volatility forecasts using actual option price data in Taiwan stock market. Forecast evaluation supports the significant incremental explanatory power of investor sentiments on the fitting and forecasting of future volatility to its adversarial multiple-factor model, especially the market turnover a...

Macroeconomic Volatilities and the Labor Market: First Results from the Euro Experiment This paper analyzes the effects of different labor market institutions on inflation and output volatility. The eurozone offers an unprecedented experiment for this exercise: since 1999, no national monetary policies have been implemented that could account for volatility differences across member states, but...

Research on the impact of the introduction of derivatives on the market volatility has reported mixed evidences. In this paper, we study the volatility implications of the introduction of derivatives on the stock market in India using S&P CNX IT index. To account for the heteroscedasticity in the time series, GARCH model is used. We find clustering and persistence of volatility in different deg...

We offer evidence that variations in firm idiosyncratic volatility are related to both behavior and fundamental factors. Using Japanese data from 1975 to 1999, we document that both institutional herding and the absolute value of firm earnings are positively related to idiosyncratic volatility. We find that institutional herding explains about 10% of the cross-sectional variation in idiosyncrat...

This study examines the performance of the S&P 100 implied volatility as a forecast of future stock market volatility. The results indicate that the implied volatility is an upward biased forecast, but also that it contains relevant information regarding future volatility. The implied volatility dominates the historical volatility rate in terms of ex ante forecasting power, and its forecast err...

This paper proposes an unobserved fundamental component of volatility as a measure of risk. This concept of fundamental volatility may be more meaningful than the usual measures of volatility for market regulators. Fundamental volatility can be obtained using a stochastic volatility model, which allows us to `®lterÕ out the signal in the volatility information. We decompose four FTSE100 stock i...

We study the dynamic relation between aggregate mutual fund flow and market-wide volatility. Using daily flow data and a VAR approach, we find that market volatility is negatively related to concurrent and lagged flow. A structural VAR impulse response analysis suggests that shock in flow has a negative impact on market volatility: An inflow (outflow) shock predicts a decline (an increase) in v...