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Mastering R for Quantitative Finance

Mastering R for Quantitative Finance

By : Gabler
4 (11)
close
Mastering R for Quantitative Finance

Mastering R for Quantitative Finance

4 (11)
By: Gabler

Overview of this book

This book is intended for those who want to learn how to use R's capabilities to build models in quantitative finance at a more advanced level. If you wish to perfectly take up the rhythm of the chapters, you need to be at an intermediate level in quantitative finance and you also need to have a reasonable knowledge of R.
Table of Contents (15 chapters)
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14
Index

Summary


In this chapter, we have shown some practical problems that arise in the hedging of derivatives. Although the Black-Scholes-Merton model assumes continuous time trading, resulting in continuous rebalancing of the hedging portfolio without transaction costs, in reality, trading occurs in discrete time, and it does have costs. Consequently, the cost of hedging depends on the future path of the spot price of the underlying asset; thus, it is not a single value presented by the analytical formula any more, but it is a stochastic variable that can be described by its probability distribution. In this chapter, we simulated different paths, calculated the cost of hedging, and presented the probability distribution assuming different rebalancing frequencies. We received that in the absence of transaction costs the volatility reduces with the shortening of the rebalancing period. On the other hand, transaction costs can boost not only the expected value of the cost of the hedge but also its...

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