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Finance

Series

2007

Skewness

Articles 1 - 2 of 2

Full-Text Articles in Economics

Direction-Of-Change Forecasts For Asian Equity Markets Based On Conditional Variance, Skewness And Kurtosis Dynamics: International Evidence, Peter F. Christoffersen, Francis X. Diebold, Robert S. Mariano, Anthony S. Tay, Yiu Kuen Tse Jul 2007

Direction-Of-Change Forecasts For Asian Equity Markets Based On Conditional Variance, Skewness And Kurtosis Dynamics: International Evidence, Peter F. Christoffersen, Francis X. Diebold, Robert S. Mariano, Anthony S. Tay, Yiu Kuen Tse

Research Collection School Of Economics

Recent theoretical work has revealed a direct connection between asset return volatility forecastability and asset return sign forecastability. This suggests that the pervasive volatility forecastability in equity returns could, via induced sign forecastability, be used to produce direction-of change forecasts useful for market timing. We attempt to do so in an international sample of developed equity markets, with some success, as assessed by formal probability forecast scoring rules such as the Brier score. An important ingredient is our conditioning not only on conditional mean and variance information, but also conditional skewness and kurtosis information, when forming direction-of-change forecasts.


Global And Regional Sources Of Risk In Equity Markets: Evidence From Factor Models With Time-Varying Conditional Skewness, Aamir R. Hashmi, Anthony S. Tay Apr 2007

Global And Regional Sources Of Risk In Equity Markets: Evidence From Factor Models With Time-Varying Conditional Skewness, Aamir R. Hashmi, Anthony S. Tay

Research Collection School Of Economics

We examine the influence of global and regional factors on the conditional distribution of stock returns from six Asian markets, using factor models in which unexpected returns comprise global, regional and local shocks. The models allow for conditional heteroskedasticity and time-varying conditional skewness, and are used to measure mean, variance, and skewness spillovers. We find that incorporating time-varying conditional skewness improves the fit of our spillover models, and can alter measurements of variance spillovers. However, time-varying conditional skewness is mostly a local phenomenon; with exceptions, there is little spillover in skewness from global and regional factors.