In the paper a realized regression version of the Britten-Jones (1999) portfolio selection approach is proposed, yielding a conditional mean-variance efficient portfolio selection strategy. Application to euro area stock markets diversification, differently from other standard approaches,...

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...

This paper examines the extent to which idiosyncratic risk measures explain cross-sectional differences in hedge fund returns. Using exponential GARCH models to estimate conditional idiosyncratic volatility, we find a significant positive relation between conditional idiosyncratic volatility...

This paper estimates hedge fund and mutual fund exposure to newly proposed measures of macroeconomic risk that are interpreted as measures of economic uncertainty. We find that the resulting uncertainty betas explain a significant proportion of the cross-sectional dispersion in hedge fund...

Stocks with large increases in call implied volatilities over the previous month tend to have high future returns while stocks with large increases in put implied volatilities over the previous month tend to have low future returns. Sorting stocks ranked into decile portfolios by past call...

In this paper we introduce a new parametric distribution, the Mixed Tempered Stable. We show that, by choosing appropriately the value of the distribution parameters, it is possible to obtain some well-known distributions as special cases. The better fit to market returns and to statistical...

In presence of panel data, technical efficiency is used to compare the performances of Decision-Making Units (DMUs). The novelty of this paper is the consideration of the dependence between the two error terms in the case of panel data and the introduction of time effect models in the Stochastic...

This paper analyzes the evolution of the Lebanese GDP growth rate over the period 1970- 2019 by estimating two kinds of switching models: The Smooth Transition Autoregressive (STAR) model and the model of the Markov process. These models show, on the one hand, asymmetries in the evolution of GDP...

We propose a framework for estimation and inference when the model may be misspecified. We rely on a local asymptotic approach where the degree of misspecification is indexed by the sample size. We construct estimators whose mean squared error is minimax in a neighborhood of the reference model,...