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  • Search: subject:"Deep hedging"
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Year of publication
Subject
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Hedging 8 Deep hedging 5 Theorie 5 Theory 5 deep hedging 4 Mathematical programming 3 Mathematische Optimierung 3 Option pricing theory 3 Optionspreistheorie 3 Portfolio selection 3 Portfolio-Management 3 Risikomanagement 3 Risk management 3 generative adversarial networks 3 Derivat 2 Derivative 2 LSV calibration 2 Risiko 2 Risk 2 Stochastic process 2 Stochastischer Prozess 2 neural SDEs 2 stochastic optimization 2 variance reduction 2 Arbitrage 1 Black-Scholes model 1 Black-Scholes-Modell 1 Commodity exchange 1 Commodity market 1 Decision under uncertainty 1 Deep BSDE solver 1 Deep learning 1 Double Deep Q-netwoorks 1 Efficient hedging 1 Electric power industry 1 Elektrizitätswirtschaft 1 Energiemarkt 1 Energy market 1 Entscheidung unter Unsicherheit 1 Erdgas 1
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Online availability
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Free 8 CC license 2 Undetermined 1
Type of publication
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Article 7 Book / Working Paper 2
Type of publication (narrower categories)
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Article in journal 6 Aufsatz in Zeitschrift 6 Arbeitspapier 2 Graue Literatur 2 Non-commercial literature 2 Working Paper 2 Article 1
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Language
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English 9
Author
All
Teichmann, Josef 3 Cuchiero, Christa 2 Khosrawi, Wahid 2 Krabichler, Thomas 2 Boursin, Nicolas 1 Bracha, Zofia 1 Curin, Nicolas 1 Gnoatto, Alessandro 1 Horikawa, Hiroaki 1 Horvath, Blanka 1 Kettler, Michael 1 Kleisinger-Yu, Xi 1 Komaric, Vlatka 1 Lavagnini, Silvia 1 Limmer, Yannick 1 Michańków, Jakub 1 Mikael, Joseph 1 Nakagawa, Kei 1 Picarelli, Athena 1 Remlinger, Carl 1 Sakowski, Paweł 1 Wunsch, Marcus 1 Wutte, Hanna 1
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Published in...
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Risks : open access journal 2 Applied mathematical finance 1 Decisions in economics and finance : a journal of applied mathematics 1 Finance research letters 1 Financial markets and portfolio management 1 Risks 1 Working paper series 1 Working papers 1
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Source
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ECONIS (ZBW) 8 EconStor 1
Showing 1 - 9 of 9
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Hedging goals
Krabichler, Thomas; Wunsch, Marcus - In: Financial markets and portfolio management 38 (2024) 1, pp. 93-122
Persistent link: https://www.econbiz.de/10014500603
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Application of deep reinforcement learning to at-the-money S&P 500 options hedging
Bracha, Zofia; Michańków, Jakub; Sakowski, Paweł - 2025
Persistent link: https://www.econbiz.de/10015615850
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Robust Hedging GANs : towards automated robustification of hedging strategies
Limmer, Yannick; Horvath, Blanka - In: Applied mathematical finance 31 (2024) 3, pp. 164-201
Persistent link: https://www.econbiz.de/10015415723
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Deep generators on commodity markets application to deep hedging
Boursin, Nicolas; Remlinger, Carl; Mikael, Joseph - In: Risks : open access journal 11 (2023) 1, pp. 1-18
Four deep generative methods for time series are studied on commodity markets and compared with classical probabilistic models. The lack of data in the case of deep hedgers is a common flaw, which deep generative methods seek to address. In the specific case of commodities, it turns out that...
Persistent link: https://www.econbiz.de/10014232532
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Deep Quadratic Hedging
Gnoatto, Alessandro; Lavagnini, Silvia; Picarelli, Athena - 2022
Persistent link: https://www.econbiz.de/10013535748
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Relationship between deep hedging and delta hedging : leveraging a statistical arbitrage strategy
Horikawa, Hiroaki; Nakagawa, Kei - In: Finance research letters 62 (2024) 1, pp. 1-8
Persistent link: https://www.econbiz.de/10014530849
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A deep learning model for gas storage optimization
Curin, Nicolas; Kettler, Michael; Kleisinger-Yu, Xi; … - In: Decisions in economics and finance : a journal of … 44 (2021) 2, pp. 1021-1037
Persistent link: https://www.econbiz.de/10012795104
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A generative adversarial network approach to calibration of local stochastic volatility models
Cuchiero, Christa; Khosrawi, Wahid; Teichmann, Josef - In: Risks : open access journal 8 (2020) 4/101, pp. 1-31
. The minimization of the calibration functional relies strongly on a variance reduction technique based on hedging and deep … hedging, which is interesting in its own right: it allows the calculation of model prices and model implied volatilities in an …
Persistent link: https://www.econbiz.de/10012373082
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Cover Image
A generative adversarial network approach to calibration of local stochastic volatility models
Cuchiero, Christa; Khosrawi, Wahid; Teichmann, Josef - In: Risks 8 (2020) 4, pp. 1-31
. The minimization of the calibration functional relies strongly on a variance reduction technique based on hedging and deep … hedging, which is interesting in its own right: it allows the calculation of model prices and model implied volatilities in an …
Persistent link: https://www.econbiz.de/10013200634
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