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We construct realistic equity option market simulators based on generative adversarial networks (GANs). We consider recurrent and temporal convolutional architectures, and assess the impact of state compression. Option market simulators are highly relevant because they allow us to extend the...
Persistent link: https://www.econbiz.de/10012861067
We construct realistic spot and equity option market simulators for a single underlying on the basis of normalizing flows. We address the high-dimensionality of market observed call prices through an arbitrage-free autoencoder that approximates efficient low-dimensional representations of the...
Persistent link: https://www.econbiz.de/10013306676
In this paper we consider the problem of hedging an arithmetic Asian option with discrete monitoring in an exponential … to the hedging error and the impact of model error on the quality of the chosen hedging strategy. The numerical analysis … shows the impact of jump risk on the hedging error of the option position, and the importance of including traded options in …
Persistent link: https://www.econbiz.de/10012905619
). The purpose is to by-pass the derivative of an (irregular) pay-off function in a jump-type market by introducing a weight … formula holds for subordinated Brownian motion and, this representation is useful in developing simple and tractable hedging …
Persistent link: https://www.econbiz.de/10011886622
Hedging being a predominant financial concern, is considered as a robust method of managing investment risks …. Literature evinces that the covered call strategy provides nominal returns alongside effective hedging. However, studies have not … compared the hedging effectiveness of covered call, covered put, collar, and synthetic long call strategies in the equity …
Persistent link: https://www.econbiz.de/10013389458
We investigate the performance of the Deep Hedging framework under training paths beyond the (finite dimensional …) Markovian setup. In particular we analyse the hedging performance of the original architecture under rough volatility models … architectures capable of capturing the non-Markoviantity of time-series. Secondly, we analyse the hedging behaviour in these models …
Persistent link: https://www.econbiz.de/10012800441
Neural networks have been used as a nonparametric method for option pricing and hedging since the early 1990s. Far over …
Persistent link: https://www.econbiz.de/10012846802
This paper presents a tailor-made discrete-time simulation model for valuing path-dependent options, such as lookback option, barrier option and Asian option. In the context of a real-life application that is interest to many students, we illustrate the option pricing by using Quasi Monte Carlo...
Persistent link: https://www.econbiz.de/10013139321
A credit-linked note (CLN) on a tranche of the CDX index (partially) protects the holder against default losses in that tranche. The holder receives a specified redemption amount at note maturity. The note is priced using market spread quotes for a matching CDS on this tranche
Persistent link: https://www.econbiz.de/10013098210
Unlike tranches of synthetic CDOs, that depend only on the defaults of the underlying securities, tranches of cashflow CDOs also depend on the interest cash flows from the coupons of the securities. Whilst fast, accurate, (semi-)analytic methods exist for pricing synthetic CDO tranches (Hull and...
Persistent link: https://www.econbiz.de/10013156360