We propose a novel generative model for multivariate discrete-time time
...
We construct realistic spot and equity option market simulators for a si...
Estimation of the value-at-risk (VaR) of a large portfolio of assets is ...
Although variational autoencoders (VAE) are successfully used to obtain
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We consider a variational autoencoder (VAE) for binary data. Our main
in...
Under the Solvency II regime, life insurance companies are asked to deri...
Modeling financial time series by stochastic processes is a challenging ...
Deep generative networks such as GANs and normalizing flows flourish in ...