Risk Dynamics Around Restatement Announcements

We investigate the dynamic nature and temporal daily changes in systematic (beta), as well as idiosyncratic and total risk around restatement announcements. We find that beta increases by 51% at restatement announcement but it reverts to the pre-restatement level within 1 month. However, idiosyncratic risk experiences a longer-term increase of approximately 20% following a restatement. Cross-sectional analysis shows that the results are more pronounced with restatements associated with irregularity. Overall, our findings suggest that risk components are time-varying with the systematic component rapidly mean-reverting but the idiosyncratic component experiencing a longer-term increase

Measuring the relative return contribution of risk factors

This paper proposes a simple method to measure and compare the average relative return contribution of proposed risk factors. The method is applied to six common risk factors, including market, size, value, momentum, profitability, and investment, using 49 U.S. industry portfolios in the period 1969–2014. We find that the average relative return contributions of the market factor and mispricing alpha are highest in all models and sample periods. When multifactors are included, their main effect is to reduce the contribution of the average market factor return with some reduction in the contribution of mispricing alpha

Volatility spillovers and price interdependencies; a dynamic non parametric approach

This paper investigates the volatility spillovers of four major equity markets using a new approach namely, the Filtered Historical Simulation approach (FHS). The FHS captures very effectively the changes and interactions in the first and second moments. A dynamic system based on Filtered Historical Simulation (FHS) and nonparametric regression is used to obtain estimates of the variance-covariance of the set of standardised residuals. This system is then used to examine dependencies in covariance changes and to carry an impulse response analysis to investigate the dynamic responses to volatility shocks

Asymmetric Price and Volatility Adjustments in Emerging Asian Stock Markets

This paper tests the hypothesis that stock returns in emerging stock markets adjust asymmetrically to past information. The evidence suggests that both the conditional mean and the conditional variance respond asymmetrically to past information. In agreement with studies dealing with developed stock markets, the conditional variance is an asymmetrical function of past innovations, rising proportionately more during market declines. More importantly, the conditional mean is also an asymmetrical function of past returns. Specifically, positive past returns are more persistent than negative past returns of an equal magnitude. This behaviour is consistent with an asymmetric partial adjustment price model where news suggesting overpricing (negative returns) are incorporated faster into current prices than news suggesting underpricing (positive returns). Furthermore, the asymmetric adjustment of prices to past information could be partially responsible for the asymmetries in the conditional variance if the degree of adjustment and the level of volatility are positively related. Copyright Blackwell Publishers Ltd 1999.