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I exploit a natural experiment in South Korea to examine the real effects of macroprudential foreign exchange (FX) regulations designed to reduce risk-taking by financial intermediaries. By using crossbank variation in the regulation's tightness, I show that it causes a reduction in the supply...
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The field of computational finance is evolving ever faster. This book collects a number of novel contributions on the use of computational methods and techniques for modelling financial asset prices, returns, and volatility, and on the use of numerical methods for pricing, hedging, and risk...
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Chapter 1 Preliminaries -- Chapter 2 Risk and Expected Utility -- Chapter 3 Market Pricing and Market E ciency -- Chapter 4 Modern Portfolio Theory -- Chapter 5 Asset Pricing -- Chapter 6 Introduction to Derivatives -- Chapter 7 Arbitrage and Model-free Pricing Methods- Chapter 8 Modelling,...
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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 with view to existing theoretical results for those....
Persistent link: https://www.econbiz.de/10012800441
This article discusses a new application of reinforcement learning: to the problem of hedging a portfolio of “over-the-counter” derivatives under under market frictions such as trading costs and liquidity constraints. It is an extended version of our recent work...
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