6 citations · 19 across the 5 of their papers we have counts for
3 papers · 1 filter
Estimating Future VaR from Value Samples and Applications to Future Initial Margin
Narayan Ganesan, Bernhard Hientzsch
Predicting future values at risk (fVaR) is an important problem in finance. They arise in the modelling of future initial margin requirements for counterparty credit risk and futur…
Backward Deep BSDE Methods and Applications to Nonlinear Problems
Yajie Yu, Bernhard Hientzsch, Narayan Ganesan
In this paper, we present a backward deep BSDE method applied to Forward Backward Stochastic Differential Equations (FBSDE) with given terminal condition at maturity that time-step…
Pricing Barrier Options with DeepBSDEs
Narayan Ganesan, Yajie Yu, Bernhard Hientzsch
This paper presents a novel and direct approach to price boundary and final-value problems, corresponding to barrier options, using forward deep learning to solve forward-backward…