By modeling asset returns via Brownian processes, we construct dynamic portfolios whose weights, relative to the market portfolio, are inflated (respectively, deflated) depending on high (respectively, low) levels of ex-ante beta for the corresponding assets. We establish under mild conditions...

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...

Classical quantitative finance models such as the Geometric Brownian Motion or its later extensions such as local or stochastic volatility models do not make sense when seen from a physics-based perspective, as they are all equivalent to a negative mass oscillator with a noise. This paper...

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...

Momentum risk premium is one of the most important alternative risk premia. Since it is considered a market anomaly, it is not always well understood. Many publications on this topic are therefore based on backtesting and empirical results. However, some academic studies have developed a...

July 2017, marks the 10th year anniversary of the issuance of the patent entitled “Method of identifying a universe of stocks for inclusion into an investment portfolio.” (Vass, 2007).The abstract of the patent states that it is:A method of identifying a universe of stocks for inclusion into...