The financial economics literature proposes dozens of performance measures to be used, for instance, to compare, analyse, rank and select assets. There is thus a problem: which measures should be considered? We extend the current literature by comparing a large set of performance measures over...

This paper investigates whether improving the estimation of the expected returns from simple historical moments to the use of predictable variables, mean reversion or both, mean-variance optimal portfolio strategies are able to perform statistically better than the 1/N portfolio. Our analysis...

This paper proposes a modeling framework for the study of changes in cross-market comovement conditional on volatility regimes. Methodologically, we extend the Dynamic Conditional Correlation multivariate GARCH model to allow the dynamics of correlations to depend on asset variances through a...

Stress and distress are unavoidable aspects of dealing with the vagaries of financial markets and financial advisers. The purpose of this paper is to try to reduce the discomfort in dealing with investment advisers, and to make the journey up and down the financial mountain a little less...

Large and very large portfolios of financial assets are routine for many individuals and organizations. The two most widely used models of conditional covariances and correlations are BEKK and DCC. BEKK suffers from the archetypal quot;curse of dimensionalityquot; whereas DCC does not. This is a...

This paper proposes structured parametrizations for multivariate volatility models, which use spatial weight matrices induced by economic proximity. These structured specifications aim at solving the curse of dimensionality problem, which limits feasibility of model-estimation to small...

The simultaneous occurrence of jumps in several stocks can be associated with major financial news, triggers short-term predictability in stock returns, is correlated with sudden spikes of the variance risk premium, and determines a persistent increase (decrease) of stock variances and...

The authors present a rational learner agent, which considers the information coming from a behavioral counterpart during the allocation process.The learner agent adopts a herding behavior by conditioning her choice on the selection of the portfolio's constituents.They use the concept of...

Employing a time-varying volatility transmission model, this study examines the impact of asymmetric information and uncertainty on the interactions across energy and foreign exchange markets. The results show that the ARCH coefficients monitoring the impact for the "own" shocks (currency on...

We study the evolution of the behavioral component of the financial market by estimating a Bayesian mixture model in which two types of investors coexist: one rational, with standard subjective expected utility theory (SEUT) preferences, and one behavioral, endowed with an S-shaped utility...