Estimating risks of European option books using neural stochastic differential equation market models

IF 0.8 4区 经济学 Q4 BUSINESS, FINANCE Journal of Computational Finance Pub Date : 2023-01-01 DOI:10.21314/jcf.2022.028
Samuel N. Cohen, C. Reisinger, Sheng Wang
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来源期刊
CiteScore
0.90
自引率
0.00%
发文量
8
期刊介绍: The Journal of Computational Finance is an international peer-reviewed journal dedicated to advancing knowledge in the area of financial mathematics. The journal is focused on the measurement, management and analysis of financial risk, and provides detailed insight into numerical and computational techniques in the pricing, hedging and risk management of financial instruments. The journal welcomes papers dealing with innovative computational techniques in the following areas: Numerical solutions of pricing equations: finite differences, finite elements, and spectral techniques in one and multiple dimensions. Simulation approaches in pricing and risk management: advances in Monte Carlo and quasi-Monte Carlo methodologies; new strategies for market factors simulation. Optimization techniques in hedging and risk management. Fundamental numerical analysis relevant to finance: effect of boundary treatments on accuracy; new discretization of time-series analysis. Developments in free-boundary problems in finance: alternative ways and numerical implications in American option pricing.
期刊最新文献
Toward a unified implementation of regression Monte Carlo algorithms Neural stochastic differential equations for conditional time series generation using the Signature-Wasserstein-1 metric Robust pricing and hedging via neural stochastic differential equations Estimating risks of European option books using neural stochastic differential equation market models An optimal control strategy for execution of large stock orders using long short-term memory networks
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