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Credit Risk Models Based on Time Changed Brownian Motion - ICMS

Credit Risk Models Based on Time Changed Brownian Motion - ICMS

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Jump-Diffusi<strong>on</strong> Stock <str<strong>on</strong>g>Models</str<strong>on</strong>g>Many famous stock models can be written in terms of time-changeddrifting <strong>Brownian</strong> Moti<strong>on</strong>.1 Log stock process log St := s t = s 0 + [W Gt + βG t ] for someincreasing process G t independent of W .2 For example, the Variance Gamma model of Madan et al takes Gtas a Gamma process with two parameters.3 Other Lévy models: NIG, Meixner, hyperbolic, etc.4 Stochastic volatility models: Gt = ∫ t0 λ sds, λ t ∼ CIR.5 In cases of interest, the characteristic functi<strong>on</strong> ΦG (u, t) = E[e iuGt ]is explicit.6 Further flexibility: if G = G (1) + G (2) where G (1) , G (2) areindependent, thenΦ G (u, t) = Φ G (1)(u, t)Φ G (2)(u, t)Tom Hurd (McMaster) <strong>Time</strong> <strong>Changed</strong> <strong>Brownian</strong> Moti<strong>on</strong> <strong>ICMS</strong> 2007 8 / 20

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