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~isPartOf:"CESifo working papers : the international platform of Ludwig-Maximilians University's Center for Economic Studies and the Ifo Institute"
~isPartOf:"Cambridge working papers in economics"
~isPartOf:"Cambridge-INET working papers"
~isPartOf:"Computational economics"
~isPartOf:"Cowles Foundation discussion paper"
~isPartOf:"International economic review"
~isPartOf:"The review of economic studies"
~isPartOf:"Working paper / Department of Econometrics and Business Statistics, Monash University"
~isPartOf:"Working paper"
~person:"Chang, Chia-Lin"
~person:"Forbes, Catherine Scipione"
~subject:"Börsenkurs"
~subject:"Estimation theory"
~subject:"Heteroskedastizität"
~subject:"Prognoseverfahren"
~subject:"Schätztheorie"
~subject:"Time series analysis"
~subject:"USA"
~subject:"United States"
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Chang, Chia-Lin
Forbes, Catherine Scipione
Phillips, Peter C. B.
89
Hyndman, Rob J.
58
Gao, Jiti
56
Snyder, Ralph D.
23
Athanasopoulos, George
22
Martin, Gael M.
22
McAleer, Michael
22
Harvey, Andrew C.
20
Linton, Oliver
18
Kapetanios, George
17
Peng, Bin
17
Pesaran, M. Hashem
17
Poskitt, Donald Stephen
17
Dong, Chaohua
15
Koehler, Anne B.
12
Yu, Jun
11
Ord, John Keith
10
Chen, Xiaohong
9
Giraitis, Liudas
9
Li, Degui
9
Vahid, Farshid
9
Blazsek, Szabolcs
8
Escribano, Álvaro
8
McCabe, Brendan Peter Martin
7
Pan, Guangming
7
Panagiotelis, Anastasios
7
Timmermann, Allan
7
Bailey, Natalia
6
Caporin, Massimiliano
6
Engsted, Tom
6
Lieberman, Offer
6
Piger, Jeremy Max
6
Yang, Yanrong
6
Andrews, Donald W. K.
5
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5
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CESifo working papers : the international platform of Ludwig-Maximilians University's Center for Economic Studies and the Ifo Institute
Cambridge working papers in economics
Cambridge-INET working papers
Computational economics
Cowles Foundation discussion paper
International economic review
The review of economic studies
Working paper / Department of Econometrics and Business Statistics, Monash University
Working paper
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8
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4
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High-frequency jump tests : which test should we use?
Maneesoonthorn, Worapree
;
Martin, Gael M.
;
Forbes, …
-
2020
-
(Revised working paper 17/18)
Persistent link: https://www.econbiz.de/10012606872
Saved in:
2
Forecasting observables with particle filters : any filter will do!
Leung, Patrick
;
Forbes, Catherine Scipione
;
Martin, Gael M.
-
2019
Persistent link: https://www.econbiz.de/10012606152
Saved in:
3
Data-driven particle filters for Particle Markov Chain Monte Carlo
Leung, Patrick
;
Forbes, Catherine Scipione
;
Martin, Gael M.
-
2016
Persistent link: https://www.econbiz.de/10011781784
Saved in:
4
Evaluating combined non-replicable forecasts
Chang, Chia-Lin
;
Franses, Philip Hans
;
McAleer, Michael
-
2010
Persistent link: https://www.econbiz.de/10008760499
Saved in:
5
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
Saved in:
6
Crude oil hedging strategies using dynamic multivariate GARCH
Roengchai Tansuchat
;
Chang, Chia-Lin
;
McAleer, Michael
-
2010
Persistent link: https://www.econbiz.de/10008669351
Saved in:
7
Are forecast updates progressive?
Chang, Chia-Lin
;
Franses, Philip Hans
;
McAleer, Michael
-
2010
Persistent link: https://www.econbiz.de/10008670046
Saved in:
8
Combining non-replicable forecasts
Chang, Chia-Lin
;
Franses, Philip Hans
;
McAleer, Michael
-
2010
-
Rev.
Persistent link: https://www.econbiz.de/10008689066
Saved in:
9
Model selection criteria for segmented time series from a Bayesian approach to information compression
Hanlon, Brian
;
Forbes, Catherine Scipione
-
2002
Persistent link: https://www.econbiz.de/10001704960
Saved in:
10
Reconstructing the Kalman filter for stationary and non stationary time series
Snyder, Ralph D.
;
Forbes, Catherine Scipione
-
2002
Persistent link: https://www.econbiz.de/10001722347
Saved in:
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