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variance but driven by a separate process. We show that this separation of jump risk from volatility risk is needed to match …We propose a long-run risk model with stochastic volatility, a time-varying mean reversion level of volatility, and … jumps in the state variables. The special feature of our model is that the jump intensity is not affine in the conditional …
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We develop a comprehensive mathematical framework for polynomial jump-diffusions in a semimartingale context, which … nest affine jump-diffusions and have broad applications in finance. We show that the polynomial property is preserved under … based on polynomial jump-diffusions …
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Risk neutral densities (RND) can be used to forecast the price of the underlying basis for the option, or it may be used to price other derivates based on the same sequence. The method adopted in this paper to calculate the RND is to firts estimate daily the diffusion process of the underlying...
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that the resulting implied volatility curves provide an accurate approximation for a wide range of strike prices. Based on …
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We generalize the Kou (2002) double exponential jump-diffusion model in two directions. First, we independently … displace the two tails of the jump size distribution away from the origin. Second, we allow for each of the displaced tails to …
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Risk neutral densities (RND) can be used to forecast the price of the underlying basis for the option, or it may be used to price other derivates based on the same sequence. The method adopted in this paper to calculate the RND is to firts estimate daily the diffusion process of the underlying...
Persistent link: https://www.econbiz.de/10001656178