We examine asset allocation decisions under smooth ambiguity aversion when an investor has a prior degree of belief in an asset pricing model (e.g., the domestic CAPM). Different from a Bayesian approach, the investor separately relies on the conditional distribution of returns and on the...

The paper examines the problem of portfolio selection based on the forecasts of unknown quality in a mean-variance framework. Early work by Treynor and Black (1973) established a relationship between the correlation of forecasts, the number of independent securities available and the Sharpe...

Using the Hamilton-Jacobi-Bellman equation, we derive both a Keynes-Ramsey rule and a closed form solution for an optimal consumption-investment problem with labor income. The utility function is unbounded and uncertainty stems from a Poisson process. Our results can be derived because of the...

This supplementary Technical Appendix contains formal proofs of the propositions which are stated in Anyfantaki, S., S. Arvanitis, S., Th. Post, Th. and N. Topaloglou, 2019, 'Stochastic Bounds for Portfolio Analysis', available at SSRN:"https://ssrn.com/abstract=3181869 "...

I introduce a method of portfolio selection based on the idea that investment risk is not having enough wealth when you need it. Not having enough wealth translates into a required return. When you need wealth translates into an investment horizon. These two ingredients, when combined with...

We report a surprising link between optimal portfolios generated by a special type of variational preferences called divergence preferences (cf. Maccheroni et al. 2006) and optimal portfolios generated by classical expected utility. As a special case we connect optimization of truncated...

Theoretical concepts together with estimation and optimization methods for portfolio choice based on Stochastic Dominance are reviewed. Distinction is drawn between the concepts of Pairwise Dominance, Admissibility, Optimality, Efficiency and Spanning. Results of selected empirical studies and...

Compared with extensive empirical literature on contrarian strategy, we build a dynamic mean-variance model with geometric mean reversion stock price which implies a contrarian strategy. Our model suggests that the investor should buy distressed stocks, and sell them after the company recovers....