no code implementations • 9 Feb 2024 • Duy-Minh Dang, Hao Zhou
Numerical results show remarkable agreement with benchmark solutions obtained by unconditionally monotone finite differences, tree methods, and Monte Carlo simulation, underscoring the robustness and effectiveness of our method.
no code implementations • 1 Oct 2023 • Yaowen Lu, Duy-Minh Dang
We develop an efficient pricing approach for guaranteed minimum withdrawal benefits (GMWBs) with continuous withdrawals under a realistic modeling setting with jump-diffusions and stochastic interest rate.
no code implementations • 12 Sep 2023 • Hanwen Zhang, Duy-Minh Dang
A crucial element of the MV portfolio optimization formulation over each rebalancing interval is a convolution integral, which involves a conditional density of the logarithm of the amount invested in the risky asset.
no code implementations • 7 Sep 2023 • Rong Du, Duy-Minh Dang
This paper introduces FourNet, a novel single-layer feed-forward neural network (FFNN) method designed to approximate transition densities for which closed-form expressions of their Fourier transforms, i. e. characteristic functions, are available.