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Introduction to R for Quantitative Finance
The goal of the first part of the chapter is to show the methods of using R for pricing and performing Monte Carlo simulations with standard credit risk models. The following sections give an essential picture of loss distributions and the generating and pricing of a single debt instrument.
We start with the well-known option-based model of Merton (Merton 1974) as the introductory model of structural approach. Merton evaluates risky debt as a contingent claim of the firm value. Let us suppose that the V firm value follows geometric Brownian motion:

In the preceding formula, μ is the drift parameter, σ>0 is the volatility parameter, dW is the differential of the Wiener process, and the initial asset value is V0>0. The model assumes a flat yield curve, with r as the constant interest rate, and lets us define the default state as that where the value of the assets V falls below the liabilities (K) upon the of maturity of debt (T). We express the VT...
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