We use volatility impulse response analysis estimated from the bivariate GARCH-BEKK model to quantify the size and the persistence of different types of oil price shocks on stock return volatility and the covariance between oil price changes and stock returns for a wide range of net...

The cross-sectional average of pairwise correlations across stocks traded on the NYSE, AMEX, and Nasdaq is a powerful predictor of U.S. economic activity at a horizon of one to four years. Its predictive ability is on a par with the slope of the yield curve and significantly exceeds that of some...

This paper investigates the dynamic linkages in terms of the first and second moments between stock and bond returns, within a wide range of advanced economies, over the different phases of the recent financial crisis. The adopted empirical framework is a bivariate volatility model, where...

Using a unique data set that contains the complete ownership structure of the German stock market, we study the momentum and contrarian trading of different investor groups. Foreign investors and financial institutions, and especially mutual funds, are momentum traders, whereas private...

Using a unique survey dataset, the author studies how financial market experts form their stock market expectations. He documents a strong disagreement among experts about how important macroeconomic and financial variables are related to stock returns. The results of an analysis of the...

Using a unique survey dataset, I study how financial market experts form their stock market expectations. I document a strong disagreement among experts about how important macroeconomic and financial variables are related to stock returns. The results of an analysis of the relationships between...

This study focuses on the diversification benefits of the most developed equity markets of Central and Eastern Europe (CEE). To evaluate these benefits of diversification we use so-called spanning tests based on a stochastic discount factor approach and estimated by General Methods of Moments...