Structured products dynamic hedging based on reinforcement learning

Author:

Xu Hao,Xu Cheng,Yan He,Sun Yanqi

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Reference31 articles.

1. Almahdi S, Yang SY (2017) An adaptive portfolio trading system: a risk-return portfolio optimization using recurrent reinforcement learning with expected maximum drawdown. Expert Syst Appl 87:267–279

2. Andrew AM (1999) reinforcement learning: an introduction by Richard S. Sutton and Andrew G. Barto, Adaptive computation and machine learning series. MIT Press (Bradford Book), Cambridge [1998, ISBN 0-262-19398-1,(hardback,£ 31.95). Robotica, 17(2), 229–235]

3. Bakshi G, Cao C, Chen Z (1997) Empirical performance of alternative option pricing models. J Financ 52(5):2003–2049

4. Bao BK, Yin BQ, Xi HS (2008) Infinite-horizon policy-gradient estimation with variable discount factor for Markov decision process. In: 2008 3rd international conference on innovative computing information and control. IEEE, pp 584–584

5. Barucci E, Cherubini U, & Landi L (1996) No-arbitrage asset pricing with neural networks under stochastic volatility. In: Neural networks in financial engineering: Proceedings of the third international conference on neural networks in the capital markets. World Scientific, New York, pp 3–16

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