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Mastering R for Quantitative Finance

Mastering R for Quantitative Finance

By : Gabler
4 (11)
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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

Exchange options


Exchange options grant the holder the right to exchange one risky asset to another risky asset at maturity. It is easy to see that simple options are special forms of exchange options where one of the risky assets is a constant amount of money (the strike price).

The pricing formula of an exchange option was first derived by Margrabe, 1978. The model assumptions, the pricing principles, and the resultant formula of Margrabe are very similar to (more precisely, the generalization of) those of Black, Scholes, and Merton. Now we will show how to determine the value of an exchange option.

Let's denote the spot prices of the two risky assets at time t by S1t and S2t. We assume that these prices under the risk neutral probability measure (Q) follow geometric Brownian motion with drifts equal to the risk-free rate (r), shown as and .

Here, W1 and W2 are standard Wiener processes under Q, with correlation ρ. You may observe that here, the assets have no yield (for example, stocks...

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