I analyze output growth, volatility, and skewness as the joint outcomes of financial openness. Using an industry panel of 53 countries over 45 years, I find that financial openness increases simultaneously mean growth and the negative skewness of the growth process. The increase in output...

I analyze output growth, volatility, and skewness as the joint outcomes of financial openness. Using an industry panel of 53 countries over 45 years, I find that financial openness increases simultaneously mean growth and the negative skewness of the growth process. The increase in output...

This paper examines long memory volatility in international stock markets. We show that long memory volatility is widespread in a panel dataset of eighty-two countries and that the degree of memory in the panel can be related to macroeconomic variables such as short- and long-run interest rates...

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 examines whether macroeconomic instability can influence stock market volatility in a sample of 5 emerging European countries. To account for the effects of fundamentals, modified ARCH/GARCH models are employed. The results are discordant from one country to another, but when a...

Recent financial literature shows a spillover effect from the stock market to the bond market, and strong investor sentiment regarding the stock market. In this paper, we studied cross-market sentiment and returns from stocks to bonds. We analyzed the effect that stock returns, volatility, and...

Based on monthly data covering the period from 1987 to 2019, we analyse whether cross-sectional moments of stock market returns may provide information about the future position of the German business cycle. We apply in-sample forecasting regressions with and without leading indicators as...

Beaudry and Portier (2006) provide support for the "news view" of the business cycle, using a vector error correction model. We show that this result hinges on a cointegrating relationship between TFP and stock prices that is not stationary, thus making the estimates not reliable. If we alter...