The goal of this paper is to analyze predictability of future asset returns in the context of model uncertainty. Using data for the euro area, the US and the U.K., we show that one can improve the forecasts of stock returns using a model averaging approach, and there is a large amount of model...

This paper examines return predictability when the investor is uncertain about the right state variables. A novel feature of the model averaging approach used in this paper is to account for finite-sample bias of the coefficients in the predictive regressions. Drawing on an extensive...

This paper studies the fundamental determinants of cross-country differences in finnancial development. Two prominent tools for addressing model uncertainty, Bayesian Model Averaging and Automatic Model Selection using PcGets, are jointly applied to investigate the financial development effects...

This paper examines return predictability when the investor is uncertain about the right state variables. A novel feature of the model averaging approach used in this paper is to account for finite-sample bias of the coefficients in the predictive regressions. Drawing on an extensive...

This paper develops a return forecasting methodology that allows for instabil ity in the relationship between stock returns and predictor variables, for model uncertainty, and for parameter estimation uncertainty. The predictive regres sion speci¯cation that is put forward allows for occasional...

Diese Dissertation (dt.: Einbeziehung von Modellunsicherheit in das Selektionsproblem von Schätzern für erwartete Renditen) beschäftigt sich mit der Unsicherheit aus einer Vielzahl verfügbarer Schätzer für latente erwartete Renditen den korrekten Schätzer auszuwählen. Anhand des...

The goal of this paper is to analyze predictability of future asset returns in the context of model uncertainty. Using data for the euro area, the US and the U.K., we show that one can improve the forecasts of stock returns using a model averaging approach, and there is a large amount of model...

We study an investor's optimal consumption and portfolio choice problem when he is confronted with two possibly misspecified submodels of stock returns: one with IID returns and the other with predictability. We adopt a generalized recursive ambiguity model to accommodate the investor's aversion...

We study an investor's optimal consumption and portfolio choice problem when he confronts with two possibly misspecified submodels of stock returns: one with IID returns and the other with predictability. We adopt a generalized recursive ambiguity model to accommodate the investor's aversion to...