Measuring the performance of stock portfolios that include options is challenging due to options' nonlinearity in the underlying, their exposure to volatility risk, and their time decay. Our contribution to the literature is twofold: First, we provide a theoretically rigorous derivation of the...

Investors sometimes have strong convictions that a distinctive economic regime will prevail in the period ahead and therefore would like to form a portfolio that reflects the expected returns, standard deviations, and correlations of assets during such a regime. To do so, they typically isolate...

In this note, we review the conclusions of a paper comparing a cyclical coordinate descent (CCD) algorithm with other algorithms for solving risk parity portfolio optimization problems. In particular, we show that a proper numerical implementation of the CCD algorithm is fast, robust and...

IFRS 9 norms require classifying non-defaulted loans into two stages depending on their credit quality evolution since initial recognition by the bank. In this paper, we propose an optimal way to perform this classification. Target values of some key performance indicators of the provisioning...

A flexible way to incorporate heterogeneous tail-dependency into dependency modeling based on a recently proposed modification of the t-copula is presented and applied to a realistic credit portfolio. The heterogeneous t-copula is assumed for the underlying multivariate factor model and it is...

The bounds for risk measures of a portfolio when its components have known marginal distributions but the dependence among the risks is unknown are often too wide to be useful in practice. Moreover, availability of additional dependence information, such as knowledge of some higher-order...