In this article we introduce the term "Deep Execution" that utilize deep reinforcement learning (DRL) for optimal execution. We demonstrate two different approaches to solve for the optimal execution: (1) the deep double Q-network (DDQN), a value-based approach and (2) the proximal policy...

There is an increasing consensus within banks, on the need to recognize the impact of rising capital requirements on their derivative business in the form of capital valuation adjustment (KVA). However, because of varied reasons, there are still concerns over how exactly KVA should be computed,...

The evaluation of credit valuation adjustments (CVA) usually involves intensive computations basing on Monte Carlo simulations. In practice, often the CVA itself is not the quantity we are looking for, but a parameter which gives a certain CVA level or a worst-case CVA. Concrete examples are the...

This paper extends the simulation algorithm by Andreasen & Huge (2011) to the simulation of option prices and deltas on Lévy driven assets. The simulation is performed relying on the inverse transition matrix of the discretized PDE. Each row describes the evolution of option prices and can thus...

The regulatory credit value adjustment (CVA) for an outstanding over-the-counter (OTC) derivative portfolio, is computed based on the portfolio exposure over its lifetime. Usually the future portfolio exposure is approximated using Monte Carlo simulation, as the portfolio value can be driven by...

This paper presents a computationally efficient technique for the computation of exposure distributions at any future time under the risk-neutral and some observed real-world probability measures, needed for computation of credit valuation adjustment (CVA) and potential future exposure (PFE). In...

Based on the multi-currency LIBOR Market Model (LMM) this paper constructs a hybrid commodity interest rate market model with a time-dependent stochastic local volatility function allowing the model to simultaneously fit the implied volatility surfaces of commodity and interest rate options....

This paper describes an American Monte Carlo approach for obtaining fast and accurate exercise policies for pricing of callable LIBOR Exotics (e.g., Bermudan swaptions) in the LIBOR market model using the Stochastic Grid Bundling Method (SGBM). SGBM is a bundling and regression based Monte Carlo...