The problem of optimal wealth allocation is solved under the assumptions that interest rates are stochastic and stock returns are predictable with observed and unobserved factors. The stock risk premium is taken to be an affine function of the predictive variables and the stock return volatility...

We use the Bayesian method introduced by Gallant and McCulloch (2009) to estimate consumption-based asset pricing models featuring smooth ambiguity preferences. We rely on semi-nonparametric estimation of a flexible auxiliary model in our structural estimation. Based on the market and aggregate...

Owners of private companies often invest a substantial share of their net worth in one company, which exposes them to idiosyncratic risk. For US companies we investigate whether owners require compensation for lack of diversification in the form of higher returns to equity. Exposure to...

Our study provides further insights into the evidence of excess returns of low volatility enhanced portfolios. Based on the framework presented by Campbell and Vuolteenaho (2003), we analyze through-the-cycle as well as stress periods to provide an insight into which portfolio construction...

The objective of this paper is to combine a real options framework with portfolio optimization techniques and to apply this new framework to investments in the electricity sector. In particular, a real options model is used to assess the adoption decision of particular technologies under...