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~isPartOf:"Journal of econometrics"
~subject:"Bayes-Statistik"
~subject:"Stock market"
~subject:"Volatility"
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Search: subject_exact:"Autoregressive fractionally integrated moving average"
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1
Modeling and forecasting realized volatility with the fractional Ornstein-Uhlenbeck process
Wang, Xiaohu
;
Xiao, Weilin
;
Yu, Jun
- In:
Journal of econometrics
232
(
2023
)
2
,
pp. 389-415
Persistent link: https://www.econbiz.de/10014339985
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2
Generalized ARMA models with martingale difference errors
Zheng, Tingguo
;
Xiao, Han
;
Chen, Rong
- In:
Journal of econometrics
189
(
2015
)
2
,
pp. 492-506
Persistent link: https://www.econbiz.de/10011504639
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3
Bootstrap score tests for fractional integration in heteroskedastic ARFIMA models, with an application to price dynamics in commodity spot and futures markets
Cavaliere, Giuseppe
;
Nielsen, Morten Ørregaard
; …
- In:
Journal of econometrics
187
(
2015
)
2
,
pp. 557-579
Persistent link: https://www.econbiz.de/10011499761
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4
Moving average stochastic volatility models with application to inflation forecast
Chan, Joshua C. C.
- In:
Journal of econometrics
176
(
2013
)
2
,
pp. 162-172
Persistent link: https://www.econbiz.de/10009786503
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5
The conditional autoregressive Wishart model for multivariate stock market volatility
Golosnoy, Vasyl
;
Gribisch, Bastian
;
Liesenfeld, Roman
- In:
Journal of econometrics
167
(
2012
)
1
,
pp. 211-223
Persistent link: https://www.econbiz.de/10009551424
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6
Semiparametric estimation of long-memory volatility dependencies : the role of high-frequency data
Bollerslev, Tim
;
Wright, Jonathan H.
- In:
Journal of econometrics
98
(
2000
)
1
,
pp. 81-106
Persistent link: https://www.econbiz.de/10001497682
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7
Bayesian analysis of ARMA-GARCH models : a Markov chain sampling approach
Nakatsuma, Teruo
- In:
Journal of econometrics
95
(
2000
)
1
,
pp. 57-69
Persistent link: https://www.econbiz.de/10001432516
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8
Bayesian estimation of switching ARMA models
Billio, Monica
;
Monfort, Alain
;
Robert, Christian P.
- In:
Journal of econometrics
93
(
1999
)
2
,
pp. 229-255
Persistent link: https://www.econbiz.de/10001406655
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