We study pricing and hedging under parameter uncertainty for a class of Markov processes which we call generalized affine processes and which includes the Black-Scholes model as well as the constant elasticity of variance (CEV) model as special cases. Based on a general dynamic programming...

Stochastic volatility models have grown in popularity in the past decade or two. However, for many stochastic volatility models, the functional form of volatility along with the description of the diffusion process for volatility have been posed with analytic convenience in mind. Here, we...

In this paper, we derive optimal hedging strategies for options in electricity futures markets. Optimality is measured in terms of minimal variance and the associated minimal variance hedging portfolios are obtained by a stochastic maximum principle. Our explicit results are particularly useful...

This study provides an overview of the model evolution and research trends in the field of financial and risk modelling by applying a bibliometric approach from 2008–2019 and an overall citation network analysis. We present a content analysis of contributing authors, countries, journals, main...

We test the robustness of the regime switching model for pegged markets introduced in S. Drapeau, T. Wang, T. Wang (2021). In particular, two disputable underlying assumptions: 1) A Black and Scholes model with low volatility for the pre-depegging regime. 2) A thin tail distribution - Poisson...

This paper presents a tractable model of non-linear dynamics of market returns using a Langevin approach.Due to non-linearity of an interaction potential, the model admits regimes of both small and large return fluctuations. Langevin dynamics are mapped onto an equivalent quantum mechanical (QM)...

Financial markets face occasional shocks, which may come from geopolitical, economic, financial or other sources. In this paper, we consider the reaction of financial markets to the onset of severe conditions in the aftermath of Feb. 15, 2020. In particular, we analyze the primary and derivative...

We provide a generalisation of the loss of memory property using pseudo-analysis.We show how particular pseudo-sums have direct probabilistic interpretations as an arbitrage-free contingent-claim values. As a side result, we also provide new connections among well-known probability distributions

Bilateral Gamma processes generalize the Variance Gamma process and allow to capture more precisely the differences between upward and downward moves of financial returns, notably in terms of jump speed, frequency, and size. Like in most other pure jump models, option pricing under Bilateral...

Compound options are options for which the underlying is another option. In other words, a compound option is an option written on an option. In this paper, we present two new approaches to compound option pricing. The first approach relies on Malliavin calculus methods and the Clark-Ocone...