We investigate the predictability of stock returns in the financial market for a large panel of developed countries using investor sentiment, business-cycle variables and financial indicators within two panel regime-switching models, with threshold and smooth transition between regimes. We find...

We test the predictability of international (sub-) sector industry returns using common fundamental ratios. For the majority of sector returns we find pervasive predictive relationships using the global price to cash-flow ratio. Furthermore, we stress the cross-dependencies between sectors and...

I extend the evidence on the basic stylized facts documented for the U.S. variance risk premium (VP) and show that, while VPs in other countries are also positive and time varying, they do not have predictive power for domestic stock returns, in contrast to the implications of existing...

This paper investigates the variance risk premium in an international setting. First, I provide new evidence on the basic stylized facts traditionally documented for the US. I show that while the variance premiums in several other countries are, on average, positive and display significant time...

This paper investigates the variance risk premium in an international setting. First, I provide new evidence on the basic stylized facts traditionally documented for the US. I show that while the variance premiums in several countries are, on average, positive and display significant time...

We examine return predictability with machine learning in 46 international stock markets. We calculate 148 stock characteristics and use them to feed a repertoire of different models. The algorithms extract predictability mainly from simple, yet popular, factor types—such as momentum,...

Taking the perspective of international asset allocation, this paper tests if predictive regressions conditional on time-series and cross-sectional information can improve forecasts of stock index returns. We use different current price-to-fundamental ratios as predictors and condition the...

We propose a new predictor - the innovation in the daily return minimum in the U.S. stock market () - for predicting international stock market returns. Using monthly data for a wide range of 17 MSCI international stock markets during the period spanning over half a century from January 1972 to...