This study looks at the time-varying nature of systematic risk in the Greater China equity markets. The Shanghai and Shenzhen markets both have a low average systematic risk when measured against the world market. The short outbursts in systematic risk for these two markets seem to be directly...

This paper examines the applicability of CAPM in explaining the risk-return relation in the Malaysian stock market for the period of January 1995 to December 2006. The test, using linear regression method, was carried out on four models: the standard CAPM model with constant beta (Model I), the...

The paper provides evidence on correlation structure forecasting techniques. We use index model parameters to forecast significant parts of securities returns volatility – systematic risk and specific risk. Except of this static perspective we have suggested, improved and dynamised these...

Financial instability is a recurring, macroeconomic phenomenon which has been manifesting itself in form of the Great Recession since 2007. The paper pursues the question of how financial instability affects the risk of a country. We discuss the relation of the risk of a particular country to...

Using nonparametric techniques, we develop a methodology for estimating and testing conditional alphas and betas and long-run alphas and betas, which are the averages of conditional alphas and betas, respectively, across time. The estimators and tests can be implemented for a single asset or...

This paper analyzes the evolution of the systematic risk of the banking industries in eight advanced countries using weekly data from 1990 to 2012. Time-varying betas are estimated by means of a Bayesian state-space model with stochastic volatility, whose results are contrasted with those of the...

This paper investigates the effect of bad or good news (asymmetric effect) on the time-varying betas of firms in the banking industries of the UK and the US during good periods (booms) and bad periods (recessions). Daily data from eleven UK and US firms of different sizes from the banking...

This paper analyses the evolution of systematic risk of banking industries in eight advanced countries using weekly data from 1990 to 2012. The estimation of time-varying betas is done by means of a Bayesian state space model with stochastic volatility, whose results are contrasted with those of...

We construct a time-varying factor model of hedge fund returns that accounts for market risk, leverage, illiquidity and tail events. We also adjust for database biases arising from voluntary self-reporting. Using a constant beta model, we find no evidence of excess returns for the average hedge...

This paper empirically investigates the asymmetric effect of news on the time-varying beta of selected banks from seven European countries during the current crisis period and also during the pre-crisis period. The paper applies daily data from thirteen large banks from France, Germany, Greece,...