Reinforcement learning for option pricing and hedging, a practical edge over black-scholes-merton model

This thesis explores two frameworks leveraging on modern Reinforcement Learning (RL) techniques for pricing and dynamic hedging of an option under practical market conditions such as transaction costs, trader risk-aversion, and stochastic volatility which the Black-Scholes-Merton’s (BSM) model fails...

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Bibliographic Details
Main Author: Yang, Daniel
Other Authors: Bo An
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/175061
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Institution: Nanyang Technological University
Language: English