We present an acceleration technique, effective for explicit finite difference schemes describing diffusive processes with nearly symmetric operators, called Super-Time-Stepping (STS). The technique is applied to the two-factor problem of option pricing under stochastic volatility. It is shown...

A scaled self-decomposable stochastic process put forward by Carr, Geman, Madan and Yor (2007) is used to model long term equity returns and options prices. This parsimonious model is compared to a number of other one-dimensional continuous time stochastic processes (models) that are commonly...

Nelson-Siegel factors extracted from the term structure of WTI oil futures predict subsequent WTI holding period returns both in-sample and out-of-sample. This predictability is not diminished by augmenting with macroeconomic indicators or oil market specific predictors. The term structure based...

"This book aims to provide insights on the latest developments in the area of FinTech. It is a collection of scientific articles covering primary areas of finance. The following key themes are covered in the book: Machine Learning and Artificial Intelligence, FinTech Regulation and Smart...

We propose a novel method to estimate risk-neutral quantiles that uses sorting to minimize an objective function given by a convex combination of call and put option prices over the range of available strike prices. We demonstrate that this new method significantly improves the accuracy of...