Several Bayesian model combination schemes, including some novel approaches that simultaneously allow for parameter uncertainty, model uncertainty and robust time varying model weights, are compared in terms of forecast accuracy and economic gains using financial and macroeconomic time series....

This paper documents that factors extracted from a large set of macroeconomic variables bear useful information for predicting monthly US excess stock returns and volatility over the period 1980-2005. Factor-augmented predictive regression models improve upon both benchmark models that only...

Empirical measures of world consumption growth risk have failed to rationalize the cross-section of country equity returns. We propose a new factor, termed “the global consumption factor”, to explain the patterns in risk premiums on international equity markets. We identify this factor as...

This paper explores the interaction between retirement flexibility and portfolio choice in an overlapping-generations model of a closed economy. Retirement flexibility is often seen as a hedge against capital market risks which justifies more risky asset portfolios. We show, however, that this...

Accurate prediction of risk measures such as Value at Risk (VaR) and Expected Shortfall (ES) requires precise estimation of the tail of the predictive distribution. Two novel concepts are introduced that offer a specific focus on this part of the predictive density: the censored posterior, a...

This discussion paper resulted in a chapter in: (K. Bocker (Ed.)) 'Rethinking Risk Measurement and Reporting - Volume II: Examples and Applications from Finance', 2010, London: Riskbooks.<P> This paper proposes an up-to-date review of estimation strategies available for the Bayesian inference of...</p>

We propose new forecast combination schemes for predicting turning points of business cycles. The combination schemes deal with the forecasting performance of a given set of models and possibly providing better turning point predictions. We consider turning point predictions generated by...

Regression analyses of cross-country economic growth data are complicated by two main forms of model uncertainty: the uncertainty in selecting explanatory variables and the uncertainty in specifying the functional form of the regression function. Most discussions in the literature address these...

This discussion paper resulted in a publication in <I>The North American Journal of Economics and Finance</I> (2014). Volume 29(C), pages 381-401.<P> This paper investigates the stock returns and volatility size effects for firm performance in the Taiwan tourism industry, especially the impacts arising...</p></i>

This discussion paper resulted in a publication in the <A href="http://onlinelibrary.wiley.com/doi/10.1111/j.1468-0351.2011.00425.x/abstract;jsessionid=F64011DF99B22B6E2BF33FDA1C47DE9C.f04t03">'Economics of Transition'</A>, 2011, 19(4), 639-666.<P> Whether fiscal policy is sustainable depends on a government's future revenue and expenditure streams, both of which are highly uncertain. In commodity-rich countries, this problem is...</p></a>