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Long memory, realized volatility and HAR models
Baillie, Richard; Calonaci, Fabio; Cho, Dooyeon; Rho, … - 2019
The presence of long memory in Realized Volatility (RV) is a widespread stylized fact. The origins of long memory in RV …
Persistent link: https://www.econbiz.de/10011964976
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High-frequency data and volatility in foreign-exchange rates
Zhou, Bin - In: Journal of business & economic statistics : JBES ; a … 14 (1996) 1, pp. 45-52
Persistent link: https://www.econbiz.de/10001203182
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A new Pearson-type QMLE for conditionally heteroscedastic models
Zhu, Ke; Li, Wai Keung - In: Journal of business & economic statistics : JBES ; a … 33 (2015) 4, pp. 552-565
Persistent link: https://www.econbiz.de/10011403239
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Bayesian analysis of stochastic volatility models with flexible tails
Steel, Mark F. J. - In: Econometric reviews 17 (1998) 2, pp. 109-143
Persistent link: https://www.econbiz.de/10001240681
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Weak identification of long memory with implications for inference
Li, Jia; Phillips, Peter C. B.; Shi, Shuping; Yu, Jun - 2022
Persistent link: https://www.econbiz.de/10013542193
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A stochastic volatility model with Markov switching
So, Mike Ka-pui - In: Journal of business & economic statistics : JBES ; a … 16 (1998) 2, pp. 244-253
Persistent link: https://www.econbiz.de/10001243996
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Conditional correlations and volatility spillovers between crude oil and stock index returns
Roengchai Tansuchat; Chang, Chia-Lin; McAleer, Michael - 2010
Persistent link: https://www.econbiz.de/10008669344
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A fractionally integrated Wishart stochastic volatility model
Asai, Manabu; McAleer, Michael - In: Econometric reviews 36 (2017) 1/3, pp. 42-59
Persistent link: https://www.econbiz.de/10011794625
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Volatility spillover effect : a semiparametric analysis of non-cointegrated process
Sun, Yiguo; Hsiao, Cheng; Li, Qi - In: Econometric reviews 34 (2015) 1/5, pp. 127-145
Persistent link: https://www.econbiz.de/10011373301
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Semiparametric detection of changes in long range dependence
Iacone, Fabrizio; Lazarová, Stěpána - 2017
We consider changes in the degree of persistence of a process when the degree of persistence is characterized as the order of integration of a strongly dependent process. To avoid the risk of incorrectly specifing the data generating process we employ local Whittle estimates which uses only...
Persistent link: https://www.econbiz.de/10011756088