Predictive regressions with time-varying coefficients

We evaluate predictive regressions that explicitly consider the time-variation of coefficients in a comprehensive Bayesian framework. For monthly returns of the S&P 500 index, we demonstrate statistical as well as economic evidence of out-of-sample predictability: relative to an investor using the historic mean, an investor using our methodology could have earned consistently positive utility gains (between 1.8% and 5.8% per year over different time periods). We also find that predictive models with constant coefficients are dominated by models with time-varying coefficients. Finally, we show a strong link between out-of-sample predictability and the business cycle.     

Die prämienbegünstigte Zukunftsvorsorge in Österreich: Ein attraktives investment?

Ohne Zusammenfassung     

Where Is the Market? Evidence from Cross-Listings in the United States

We analyze the location of stock trading for firms with a UScross-listing. The fraction of trading that occurs in the UnitedStates tends to be larger for companies from countries thatare geographically close to the United States and feature lowfinancial development and poor insider trading protection. Forcompanies based in developed countries, trading volume in theUnited States is larger if the company is small, volatile, andtechnology-oriented, while this does not apply to emerging countryfirms. The domestic turnover rate increases in the cross-listingyear and remains higher for firms based in developed markets,but not for emerging market firms. Domestic trading volume actuallydeclines for companies from countries with poor enforcementof insider trading regulation.