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Stochastic volatility and leverage : application to a panel of S&P500 stocks

Ozturk, Serda Selin; Richard, Jean-François - In: Finance research letters 12 (2015), pp. 67-76

Persistent link: https://www.econbiz.de/10011552253

Volatility and GMM : Monte Carlo studies and empirical estimations

Nagel, Hartmut; Schöbel, Rainer - In: Statistical papers 40 (1999) 3, pp. 297-321

Persistent link: https://www.econbiz.de/10001401125

VaR/CVaR estimation under stochastic volatility models

Han, Chuan-Hsiang; Liu, Wei-han; Chen, Tzu-ying - In: International journal of theoretical and applied finance 17 (2014) 2, pp. 1-35

Persistent link: https://www.econbiz.de/10010363922

Numerically accelerated importance sampling for nonlinear non-Gaussian state-space models

Koopman, Siem Jan; Lucas, André; Scharth, Marcel - In: Journal of business & economic statistics : JBES ; a … 33 (2015) 1, pp. 114-127

Persistent link: https://www.econbiz.de/10011389921

Valuation of options on discretely sampled variance : a general analytic approximation

Drimus, Gabriel; Farkas, Walter; Gourier, Elise - In: The journal of computational finance 20 (2016) 2, pp. 39-66

Persistent link: https://www.econbiz.de/10011656703

Sequential Monte Carlo sampling for state space models

Wüthrich, Mario V. - In: Robustness in econometrics, (pp. 25-50). 2017

The aim of these notes is to revisit sequential Monte Carlo (SMC) sampling. SMC sampling is a powerful simulation tool …

Persistent link: https://www.econbiz.de/10011800920

On importance sampling for state space models

Jungbacker, Borus; Koopman, Siem Jan - 2005

We consider likelihood inference and state estimation by means of importance sampling for state space models with a … are presented that lead to a more effective implementation of importance sampling for state space models. An illustration …

Persistent link: https://www.econbiz.de/10011348357

Realized density estimation using intraday prices

Arnerić, Josip - In: Croatian review of economic, business and social … 6 (2020) 1, pp. 1-9

with respect to the bandwidth selection as well as the sampling frequency selection. The main finding is that the kernel … bandwidth is strongly related to the sampling frequency at the slow-time-time scale when applying a two-scale estimator, while … the fast-time-time scale sampling frequency is held fixed. The realized kernel density estimation enriches the literature …

Persistent link: https://www.econbiz.de/10012264979

Finite Gaussian mixture approximations to analytically intractable density Kernels

Khorunzhina, Natalia; Richard, Jean-François - In: Computational economics 53 (2019) 3, pp. 991-1017

Persistent link: https://www.econbiz.de/10012135106

Efficient asymptotic variance reduction when estimating volatility in high frequency data

Clinet, Simon; Potiron, Yoann - In: Journal of econometrics 206 (2018) 1, pp. 103-142

Persistent link: https://www.econbiz.de/10012110370