Download Advanced Quantitative Finance with C++ by Alonso Peña PDF

By Alonso Peña

This publication will introduce you to the foremost mathematical types used to cost monetary derivatives, in addition to the implementation of major numerical types used to unravel them. specifically, fairness, foreign money, rates of interest, and credits derivatives are mentioned. within the first a part of the e-book, the most mathematical types utilized in the area of monetary derivatives are mentioned. subsequent, the numerical tools used to unravel the mathematical types are offered. eventually, either the mathematical types and the numerical tools are used to resolve a few concrete difficulties in fairness, foreign money, rate of interest, and credits derivatives.

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In order to have an intuition of why this is the case, consider the following simple example: Imagine that you have bought a plain vanilla European Call option contract at time t=0. This contract will give you a payoff of + 67 PD[ 67  .   at maturity t=T. Because the value of the underlying at maturity is uncertain, that is, S_T is a random variable, the payoff function H(S_T) is also uncertain. We can write that the expected value of the payoff function + 67 is the expectation ( > + 67 @. In addition, in a European Call contract, we pay a premium today in order to have the right to exercise the option or not at maturity t=T.

50 ] Equity Derivatives in C++ In the previous two chapters, we described the key mathematical models used to simulate the behavior of the underlying assets of financial derivatives (Chapter 2, Mathematical Models) and the main numerical methods used to price them (Chapter 3, Numerical Methods). In this chapter, we apply these ingredients to the pricing of equity derivatives. We consider two examples: the pricing of a plain vanilla European Call option (basic example) and the pricing of an equity basket on the maximum of two assets (advanced example).

Assume that the recovery rate is 5 . How shall we proceed? By applying the preceding formulas, we obtain that without credit risk, the PV is as follows: 39 39 H[S U7 u )9 H[S    u      [ 30 ] Chapter 2 Now, if we consider the credit risk, we have the PV as follows: H[S  U  O 7 u )9 39 H[S      u      39 Note that the second cash flow is smaller than the first. The effect of the credit risk is to view the value of the cash flow today (its PV) as reduced because not being certain, it has to be multiplied by the chance that it happens (that is, its survival probability).

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