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~subject:"Zeitreihenanalyse"
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Zeitreihenanalyse
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322
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322
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267
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267
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Gupta, Rangan
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5
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4
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3
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2
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Energy economics
Journal of econometrics
716
International journal of forecasting
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Economics letters
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Journal of business & economic statistics : JBES ; a publication of the American Statistical Association
409
Journal of forecasting
331
Discussion paper / Tinbergen Institute
327
Applied economics
322
Econometric theory
316
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264
Empirical economics : a journal of the Institute for Advanced Studies, Vienna, Austria
227
Applied economics letters
224
Econometric reviews
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Studies in nonlinear dynamics and econometrics : SNDE ; quarterly publ. electronically on the internet
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Working paper / Department of Econometrics and Business Statistics, Monash University
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CREATES research paper
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NBER working paper series
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Technical report / Sonderforschungsbereich 475 Komplexitätsreduktion in Multivariaten Datenstrukturen, Universität Dortmund
155
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111
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108
Finance research letters
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Oxford bulletin of economics and statistics
102
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101
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85
International review of economics & finance : IREF
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ECONIS (ZBW)
207
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1
Modeling and forecasting multivariate electricity price spikes
Manner, Hans
;
Türk, Dennis
;
Eichler, Michael
- In:
Energy economics
60
(
2016
),
pp. 255-265
Persistent link: https://www.econbiz.de/10011699897
Saved in:
2
Day-ahead electricity price forecasting with high-dimensional structures : univariate vs. multivariate modeling frameworks
Ziel, Florian
;
Weron, Rafał
- In:
Energy economics
70
(
2018
),
pp. 396-420
Persistent link: https://www.econbiz.de/10011942844
Saved in:
3
Forecasting crude oil and refined products volatilities and correlations : new evidence from fractionally integrated multivariate GARCH models
Marchese, Malvina
;
Kyriakou, Ioannis
;
Tamvakis, Michael
; …
- In:
Energy economics
88
(
2020
),
pp. 1-13
Persistent link: https://www.econbiz.de/10012516745
Saved in:
4
Forecasting energy market volatility using GARCH models : can multivariate models beat univariate models?
Wang, Yudong
;
Wu, Chongfeng
- In:
Energy economics
34
(
2012
)
6
,
pp. 2167-2181
Persistent link: https://www.econbiz.de/10009688795
Saved in:
5
Estimating and forecasting the real prices of crude oil : a data rich model using a dynamic model averaging (DMA) approach
Naser, Hanan
- In:
Energy economics
56
(
2016
),
pp. 75-87
Persistent link: https://www.econbiz.de/10011663864
Saved in:
6
The relationship between energy and equity markets : evidence from volatility impulse response functions
Olson, Eric
;
Vivian, Andrew J.
;
Wohar, Mark E.
- In:
Energy economics
43
(
2014
),
pp. 297-305
Persistent link: https://www.econbiz.de/10010504812
Saved in:
7
Using nonparametric copulas to measure crude oil price co-movements
Ho, Anson T. Y.
;
Huynh, Kim P.
;
Jacho-Chávez, David Tomás
- In:
Energy economics
82
(
2019
),
pp. 211-223
Persistent link: https://www.econbiz.de/10012173921
Saved in:
8
Forecasting the joint distribution of Australian electricity prices using dynamic vine
copulae
Manner, Hans
;
Fard, Farzad Alavi
;
Pourkhanali, Armin
; …
- In:
Energy economics
78
(
2019
),
pp. 143-164
Persistent link: https://www.econbiz.de/10012159908
Saved in:
9
Forecasting the real prices of crude oil using forecast combinations over time-varying parameter models
Wang, Yudong
;
Liu, Li
;
Wu, Chongfeng
- In:
Energy economics
66
(
2017
),
pp. 337-348
Persistent link: https://www.econbiz.de/10011896505
Saved in:
10
Forecasting volatility in the biofuel feedstock markets in the presence of structural breaks : a comparison of alternative distribution functions
Hasanov, Akram Shavkatovich
;
Poon, Wai Ching
; …
- In:
Energy economics
70
(
2018
),
pp. 307-333
Persistent link: https://www.econbiz.de/10011942743
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