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My PhD thesis consists of three papers which study the nature, structure, dynamics and price of variance risks. As tool I make use of multivariate affine jump-diffusion models with matrix-valued state spaces. The first chapter proposes a new three-factor model for index option pricing. A core...
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corresponding statistical properties of this model, discuss the spectral likelihood estimation and investigate the finite sample …
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. We examine the statistical properties of the new model, suggest using the spectral likelihood estimation for long memory …
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The transformed-data maximum likelihood estimation (MLE) method for struc- tural credit risk models developed by Duan … nonlinear filtering scheme. We devise a particle filtering algorithm that is practical for conducting the MLE estimation of the … simulation study is then conducted to ascertain the performance of the estimation method. …
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The transformed-data maximum likelihood estimation (MLE) method for struc- tural credit risk models developed by Duan … nonlinear filtering scheme. We devise a particle filtering algorithm that is practical for conducting the MLE estimation of the … simulation study is then conducted to ascertain the performance of the estimation method. …
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