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Long memory dynamics for multivariate dependence under heavy tails
Janus, Paweł; Koopman, Siem Jan; Lucas, André - 2011
Persistent link: https://www.econbiz.de/10009720703
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Fractional integration and fat tails for realized covariance kernels and returns
Lucas, André; Opschoor, Anne - 2016 - This version: September 1, 2016
We introduce a new fractionally integrated model for covariance matrix dynamics based on the long-memory behavior of daily realized covariance matrix kernels and daily return observations. We account for fat tails in both types of data by appropriate distributional assumptions. The covariance...
Persistent link: https://www.econbiz.de/10011531139
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Robust inference intime-varying structural VAR models : the DC-Cholesky multivariate stochasticvolatility model
Hartwig, Benny - 2020
Cholesky multivariate stochastic volatility model.It establishes that systematically different dynamic restrictions are imposed … divergent when volatility clusters idiosyncratically.It is illustrated that this property is important for empirical … indicate that conclusions may critically hinge on a selectedordering of variables. The dynamic correlation Cholesky …
Persistent link: https://www.econbiz.de/10012250452
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Robust inference in time-varying structural VAR models : the DC-cholesky multivariate stochastic volatility model
Hartwig, Benny - 2020
Cholesky multivariate stochastic volatility model. It establishes that systematically different dynamic restrictions are … divergent when volatility clusters idiosyncratically. It is illustrated that this property is important for empirical … indicate that conclusions may critically hinge on a selected ordering of variables. The dynamic correlation Cholesky …
Persistent link: https://www.econbiz.de/10012424283
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Change-Point Detection in the Covariance Structure of Multivariate Volatility Models
Barassi, Marco R. - 2017
conditional correlation (CCC), dynamic conditional correlation (DCC), factor, asymmetric DCC and BEKK. Our simulations show that …
Persistent link: https://www.econbiz.de/10012945121
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Estimating correlated jumps and stochastic volatilities
Witzany, Jiří - In: Prague economic papers : a bimonthly journal of … 22 (2013) 2, pp. 251-283
Persistent link: https://www.econbiz.de/10010226453
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Estimating Correlated Jumps and Stochastic Volatilities
Witzany, Jiri - 2011
We formulate a bivariate stochastic volatility jump-diffusion model with correlated jumps and volatilities. An MCMC … stock (PX index) returns. Four bivariate models with and without jumps and/or stochastic volatility are compared using the … deviance information criterion (DIC) confirming importance of incorporation of jumps and stochastic volatility into the model …
Persistent link: https://www.econbiz.de/10013121407
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Stochastic volatility models for the implied correlation index : evidence, properties and pricing
Escobar, Marcos; Lin, Fang - In: Finance research letters 35 (2020), pp. 1-8
Persistent link: https://www.econbiz.de/10012438998
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Testing for a single-factor stochastic volatility in bivariate series
Chiba, Masaru; Kobayashi, Masahito - In: Journal of risk and financial management : JRFM 6 (2013) 1, pp. 31-61
single common stochastic volatility factor and noidiosyncratic volatility factor. The test statistic is derived by …
Persistent link: https://www.econbiz.de/10011555751
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Estimation and testing in a perturbed multivariate long memory framework
Less, Vivien; Sibbertsen, Philipp - 2022
We propose a semiparametric multivariate estimator and a multivariate score-type testing procedure under a perturbed multivariate fractional process. The estimator is based on the periodogram and uses a local Whittle criterion function which is generalised by an additional constant to capture...
Persistent link: https://www.econbiz.de/10014247836