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20142026
most citedConditional Time Series Forecasting with Convolutional Neural Networks

375 citations · 608 across the 47 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

q-fin.CP2024

Modeling and Replication of the Prepayment Option of Mortgages including Behavioral Uncertainty

Leonardo Perotti, Lech A. Grzelak, Cornelis W. Oosterlee

Prepayment risk embedded in fixed-rate mortgages forms a significant fraction of a financial institution's exposure, and it receives particular attention because of the magnitude o…

cs.CE2024

The Deep Latent Space Particle Filter for Real-Time Data Assimilation with Uncertainty Quantification

Nikolaj T. Mücke, Sander M. Bohté, Cornelis W. Oosterlee

In Data Assimilation, observations are fused with simulations to obtain an accurate estimate of the state and parameters for a given physical system. Combining data with a model, h…

math.NA2024

Parallel-in-Time Iterative Methods for Pricing American Options

Xian-Ming Gu, Jun Liu, Cornelis W. Oosterlee

For pricing American options, %after suitable discretization in space and time, a sequence of discrete linear complementarity problems (LCPs) or equivalently Hamilton-Jacobi-Bellma…

math.NA2024

Generalized convergence of the deep BSDE method: a step towards fully-coupled FBSDEs and applications in stochastic control

Balint Negyesi, Zhipeng Huang, Cornelis W. Oosterlee

We are concerned with high-dimensional coupled FBSDE systems approximated by the deep BSDE method of Han et al. (2018). It was shown by Han and Long (2020) that the errors induced…

math.OC2024

Convergence of the deep BSDE method for stochastic control problems formulated through the stochastic maximum principle

Zhipeng Huang, Balint Negyesi, Cornelis W. Oosterlee

It is well-known that decision-making problems from stochastic control can be formulated by means of a forward-backward stochastic differential equation (FBSDE). Recently, the auth…

math.NA2024

A Generalized Block Circulant Preconditioner for Crank-Nicolson All-at-Once Systems with Applications to Option Pricing PDEs

Yong-Liang Zhao, Yao Li, Xian-Ming Gu +1

The Crank--Nicolson (CN) method is a widely used time integration scheme for evolutionary partial differential equations (PDEs) arising in various scientific and engineering discip…