Let (d X_{t}=h_{t} d t+sigma_{t} d W_{t}+varphi_{t} d M_{t}) be a mixed process and (S_{t}=e^{X_{t}}). Prove that
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Let \(d X_{t}=h_{t} d t+\sigma_{t} d W_{t}+\varphi_{t} d M_{t}\) be a mixed process and \(S_{t}=e^{X_{t}}\). Prove that the dynamics of \(S\) are
\[d S_{t}=S_{t^{-}}\left(\left(h_{t}+\frac{1}{2} \sigma_{t}^{2}+\left(e^{\varphi_{t}}-1-\varphi_{t}\right) \lambda(t)\right) d t+\sigma_{t} d W_{t}+\left(e^{\varphi_{t}}-1\right) d M_{t}\right)\]
Conversely, if
\[d S_{t}=S_{t^{-}}\left(\mu_{t} d t+\sigma_{t} d W_{t}+\psi_{t} d M_{t}\right)\]
with \(\psi_{t}>-1\), prove that \(S_{t}=e^{Y_{t}}\), where \(Y\) is a mixed process.
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Related Book For
Mathematical Methods For Financial Markets
ISBN: 9781447125242
1st Edition
Authors: Monique Jeanblanc, Marc Yor, Marc Chesney
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