We solve for the optimal portfolio allocation in a setting where both conditional correlation and theclustering of extreme events are considered. We demonstrate that there is a substantial welfare loss indisregarding tail dependence, even when dynamic conditional correlation has been accounted...

Contrary to static mean-variance analysis, very few papers have dealt with dynamic mean-variance analysis. Here, the mean-variance efficient self-financing portfolio strategy is derived for n risky assets in discrete and continuous time. In the discrete setting, the resulting portfolio is...

This paper shows that applying simple employment-weighted OLS estimation to Davis - Haltiwanger - Schuh (1996) firm level job creation rates taking the values 2 and -2 for entering and exiting firms, respectively, provides biased and inconsistent parameter estimates. Consequently, we argue that...

This paper examines properties of mean-variance inefficient proxies with respect to producing a linear relation between expected returns and betas. The numerical results of a Monte Carlo simulation show that in the CAPM slightly inefficient, positively weighted proxies cause an almost perfect...

In this study we develop and demonstrate a powerful and flexible forward-looking portfolio simulation methodology for assessing the correlated impacts of market risk, and private sector, sovereign and inter-bank default risk on both individual banks (i.e. 28 of the largest Brazilian banks) and...

Exchange-traded funds (ETFs) exist for stock, bond and commodity markets. In most cases the underlying feature of an ETF is an index. Fund management today uses the active and the passive way to construct a portfolio. ETFs can be used for passive portfolio management, for which ETFs with...

This paper proposes a powerful alternative to the t-test of the null hypothesis that a coefficient in linear regression is equal to zero when a regressor is mismeasured. We assume there are two contaminated measurements of the regressor of interest. We allow the two measurement errors to be...