We present a Graphics Processing Unit (GPU) parallelization of the computation of the price of exotic cross-currency interest rate derivatives via a Partial Differential Equation (PDE) approach. In particular, we focus on the GPU-based parallel pricing of long-dated foreign exchange (FX)...

The article describes a global and arbitrage-free parametrization of the eSSVI surfaces introduced by Hendriks and Martini in 2019. A robust calibration of such surfaces has already been proposed by the quantitative research team at Zeliade in 2019, but it is sequential in expiries and lacks of...

This paper examines the forecast power of subsets of the option-implied interest rate derivatives’ expectations. We use a string market model with three factors to extract the implied risk-neutral volatility of the short-end interest rate term structure. Using data from the Brazil derivatives...

This paper is devoted to the pricing of variance and volatility swaps in energy market. We found explicit variance swap formula and closed form volatility swap formula (using Brockhaus-Long approximation) for energy asset with stochastic volatility that follows continuous-time GARCH (1,1) model...

We investigate for the first time the spot rate dynamics for Very Large Gas Carriers (VLGCs) by means of multrifractal detrended fluctuation analysis (MF-DFA) and rescaled range (R/S) analysis. Both methods allow for a rigorous statistical analysis of the freight process by detecting...

Over the past few decades, it has become increasingly common for terrorists to frame their objectives in religious terms and organize their activities within religious movements. This paper extends previous models of religious extremism to better account for observed patterns of extremism and...

The Coronavirus Disease 2019 (COVID-19) continues to be a constant threat in 2022 and is important to design appropriate vaccination campaigns to face next pandemic impacts driven by new variants. This study develops a Machine Learning experiment that shows, between countries, a rapid reduction...

Objectives: We study partial unlock or reopening interaction with seasonal effects in a managed epidemic to quantify overshoot effects on small and large unlock steps and discover robust strategies for reducing overshoot. Methods: We simulate partial unlock of social distancing for epidemics...