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Bayesian estimation of the Heston volatility model
Frühwirth-Schnatter, Sylvia; Sögner, Leopold - In: Operations research proceedings 2002 : selected papers …, (pp. 480-485). 2003
Persistent link: https://www.econbiz.de/10001752050
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The empirical performance of option based densities of foreign exchange
Craig, Ben R.; Keller, Joachim G. - 2002
Persistent link: https://www.econbiz.de/10001650407
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The empirical performance of option based densities of foreign exchange
Craig, Ben R.; Keller, Joachim G. - 2002
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
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The maximum likelihood estimation of security price volatility : Theory, evidence, and application to option pricing
Ball, Clifford A.; Torous, Walter N. - In: The journal of business : B 57 (1984) 1, pp. 97-112
Persistent link: https://www.econbiz.de/10001863140
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The empirical performance of option-based densities of foreign exchange
Craig, Ben R. (contributor); Keller, Joachim G. (contributor) - 2003 - [Elektronische Ressource]
Persistent link: https://www.econbiz.de/10002542714
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Bayesian Estimation of the Multi-Factor Heston Stochastic Volatility Model
Fruhwirth-Schnatter, Sylvia; Sögner, Leopold - 2014
The goal of this article is an exact Bayesian analysis of the Heston (1993) stochastic volatility model. We carefully … study the effect different parameterizations of the latent volatility process and the parameters of the volatility process …
Persistent link: https://www.econbiz.de/10014221761
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Consistent Pretesting for Jumps
Corradi, Valentina; Silvapulle, Mervyn J.; Swanson, … - 2014
If the intensity parameter in a jump diffusion model is identically zero, then parameters characterizing the jump size density cannot be identified. In general, this lack of identification precludes consistent estimation of identified parameters. Hence, it should be standard practice to...
Persistent link: https://www.econbiz.de/10014144974
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Switching to Non-Affine Stochastic Volatility : A Closed-Form Expansion for the Inverse Gamma Model
Langrené, Nicolas - 2016
This paper introduces the Inverse Gamma (IGa) stochastic volatility model with time-dependent parameters, defined by … the volatility dynamics dVt = κt.(θt − Vt).dt λt.Vt.dBt. This non-affine model is much more realistic than classical … affine models like the Heston stochastic volatility model, even though both are as parsimonious (only four stochastic …
Persistent link: https://www.econbiz.de/10013004351
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Markovian approximations of stochastic Volterra equations with the fractional kernel
Bayer, Christian; Breneis, Simon - In: Quantitative finance 23 (2023) 1, pp. 53-70
Persistent link: https://www.econbiz.de/10013490954
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Arbitrage-Free Rate Interpolation Scheme for Libor Market Model with Smooth Volatility Term Structure
Werpachowski, Roman - 2010
The Libor Market Model describes the evolution of a discrete subset of all interest rates quoted in the market. Generation of the complete yield curve from a simulated set of rates (the so-called "Libor rate interpolation") is one of the basic challenges which are faced by a practical user of...
Persistent link: https://www.econbiz.de/10013134893