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Robust estimation of nonstationary, fractionally integrated, autoregressive, stochastic volatility
Jensen, Mark J. - 2015
Empirical volatility studies have discovered nonstationary, long-memory dynamics in the volatility of the stock market and foreign exchange rates. This highly persistent, infinite variance - but still mean reverting - behavior is commonly found with nonparametric estimates of the fractional...
Persistent link: https://www.econbiz.de/10011382237
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Robust estimation of nonstationary, fractionally integrated, autoregressive, stochastic volatility
Jensen, Mark J. - In: Studies in nonlinear dynamics and econometrics : SNDE ; … 20 (2016) 4, pp. 455-475
Persistent link: https://www.econbiz.de/10011649139
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Volatility dynamics for the S&P 500 : further evidence from non-affine, multi-factor jump diffusions
Kaeck, Andreas; Alexander, Carol - In: Journal of banking & finance 36 (2012) 11, pp. 3110-3121
Persistent link: https://www.econbiz.de/10009672975
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On the estimation of regime-switching Lévy models
Chevallier, Julien; Goutte, Stéphane - In: Studies in nonlinear dynamics and econometrics : SNDE ; … 21 (2017) 1, pp. 3-29
Persistent link: https://www.econbiz.de/10011650170
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Pricing volatility swaps in the Heston's stochastic volatility model with regime switching : a saddlepoint approximation method
Zhang, Mengzhe; Chan, Leunglung - In: International journal of financial engineering 3 (2016) 4, pp. 1-20
Persistent link: https://www.econbiz.de/10011673092
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Option pricing model biases : Bayesian and Markov Chain Monte Carlo regression analysis
Mozumder, Sharif; Choudhry, Taufiq; Dempsey, Michael - In: Computational economics 57 (2021) 4, pp. 1287-1305
Persistent link: https://www.econbiz.de/10012543312
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Parameter estimation of the Heston volatility model with jumps in the asset prices
Gruszka, Jarosław; Szwabiński, Janusz - In: Econometrics : open access journal 11 (2023) 2, pp. 1-26
for several decades. The Heston model, for instance, is based on two coupled SDEs and is often used in financial … estimation procedure of the Heston model without and with jumps in the asset prices is presented. Bayesian regression combined … simulations of the Heston model to investigate the performance of the estimators. In addition, a practical follow-along recipe is …
Persistent link: https://www.econbiz.de/10014362627
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A comparison of neural networks and Bayesian MCMC for the Heston model estimation (forget statistics – machine learning is sufficient!)
Witzany, Jiří; Fičura, Milan - 2023
Persistent link: https://www.econbiz.de/10014338462
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A parsimonious approach to stochastic mortality modelling with dependent residuals
Mavros, George; Cairns, Andrew; Kleinow, Torsten; … - 2014
Persistent link: https://www.econbiz.de/10010362818
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Robust parameter design based on Gaussian process with model uncertainty
Feng, Zebiao; Wang, Jianjun; Ma, Yizhong; Tu, Yiliu - In: International journal of production research 59 (2021) 9, pp. 2772-2788
Persistent link: https://www.econbiz.de/10012516258