The derivation of the bi-variate Payoff Distribution model by Kat and Palaro (2005) represents an interesting contribution to the performance evaluation and asset pricing literature. Nonetheless, their approach for evaluating the function is significantly flawed. Recently, Papageorgiou et al....

We propose and backtest a multivariate Value-at-Risk model for financial returns based on Tukey's g-and-h distribution. This distributional assumption is especially useful if (conditional) asymmetries as well as heavy tails have to be considered and fast random sampling is of importance. To...

Statistical theory has been relatively absent in the exercise of estimating parameters of an option pricing model from cross-sectional data at a fixed point of calendar time. The cross-sectional data typically consists of prices for options at various strikes and maturities at market close. The...

Financial returns typically display heavy tails and some skewness, and conditional variance models with these features often outperform more limited models. The difference in performance may be especially important in estimating quantities that depend on tail features, including risk measures...

Benoît Mandelbrot, the father of Fractal Geometry, developed a multifractal model for describing price changes. Despite the commonly used models, such as the Brownian motion, the Mutifractal Model of Asset Return (MMAR) takes into account scale-consistency, long-range dependence and heavy...

The aim of this work was to test how returns are distributed across multiple asset classes, markets and sampling frequency. We examine returns of swaps, equity and bond indices as well as the rescaling by their volatilities over different horizons (since inception to Q2-2020). Contrarily to some...

The aim of this work was to test how returns are distributed across multiple asset classes, markets and sampling frequency. We examine returns of swaps, equity and bond indices as well as the rescaling by their volatilities over different horizons (since inception to Q2-2020). Contrarily to some...

The aim of this work was to test how returns are distributed across multiple asset classes, markets and sampling frequency. We examine returns of swaps, equity and bond indices as well as the rescaling by their volatilities over different horizons (since inception to Q2-2020). Contrarily to some...

This note is based on a recent confidence index introduced in the context of compensating probability factors for deviations of subjective probability measures from equivalent martingale measures. The index is adjusted for loss gain probability spreads, and it explains momentum in confidence. We...

The London inter-bank offered rate (LIBOR) serves as a benchmark for many financial transactions worldwide today. These rates have been subject to manipulative conduct, false reporting and collusion. In forensic accounting, the Benford test has been implemented to successfully detect manipulated...