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isPartOf:"International journal of forecasting"
~isPartOf:"Energy economics"
~subject:"Prognoseverfahren"
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Search: subject_exact:"Autocovariance"
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Prognoseverfahren
Autocorrelation
38
Autokorrelation
38
Time series analysis
26
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23
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16
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Qu, Hui
3
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International journal of forecasting
Energy economics
Journal of forecasting
20
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8
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7
Journal of business & economic statistics : JBES ; a publication of the American Statistical Association
6
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ECONIS (ZBW)
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1
Forecasting short-term defaults of firms in a commercial network via Bayesian spatial and spatio-temporal methods
Berloco, Claudia
;
Argiento, Raffaele
;
Montagna, Silvia
- In:
International journal of forecasting
39
(
2023
)
3
,
pp. 1065-1077
Persistent link: https://www.econbiz.de/10014465243
Saved in:
2
Multi-perspective investor attention and oil futures volatility forecasting
Qu, Hui
;
Li, Guo
- In:
Energy economics
119
(
2023
),
pp. 1-13
Persistent link: https://www.econbiz.de/10014279697
Saved in:
3
FRED-SD : a real-time database for state-level data with forecasting applications
Bokun, Kathryn O.
;
Jackson, Laura
;
Kliesen, Kevin L.
; …
- In:
International journal of forecasting
39
(
2023
)
1
,
pp. 279-297
Persistent link: https://www.econbiz.de/10014462780
Saved in:
4
Forecasting the realized variance of oil-price returns using machine learning : is there a role for U.S. state-level uncertainty?
Çepni, Oğuzhan
;
Gupta, Rangan
;
Pienaar, Daniel
; …
- In:
Energy economics
114
(
2022
),
pp. 1-14
Persistent link: https://www.econbiz.de/10013477404
Saved in:
5
Do oil-price shocks predict the realized variance of U.S. REITs?
Bonato, Matteo
;
Çepni, Oğuzhan
;
Gupta, Rangan
; …
- In:
Energy economics
104
(
2021
),
pp. 1-19
Persistent link: https://www.econbiz.de/10013364407
Saved in:
6
Volatility spillovers in commodity markets : a large t-vector autoregressive approach
Barbaglia, Luca
;
Croux, Christophe
;
Wilms, Ines
- In:
Energy economics
85
(
2020
),
pp. 1-11
Persistent link: https://www.econbiz.de/10012509561
Saved in:
7
A functional time series analysis of forward curves derived from commodity futures
Horváth, Lajos
;
Liu, Zhenya
;
Rice, Gregory
;
Wang, Shixuan
- In:
International journal of forecasting
36
(
2020
)
2
,
pp. 646-665
Persistent link: https://www.econbiz.de/10012415316
Saved in:
8
Bias corrections for exponentially transformed forecasts : are they worth the effort?
Demetrescu, Matei
;
Golosnoy, Vasyl
;
Titova, Anna
- In:
International journal of forecasting
36
(
2020
)
3
,
pp. 761-780
Persistent link: https://www.econbiz.de/10012496846
Saved in:
9
Forecasting risk measures using intraday data in a generalized autoregressive score framework
Lazar, Emese
;
Xue, Xiaohan
- In:
International journal of forecasting
36
(
2020
)
3
,
pp. 1057-1072
Persistent link: https://www.econbiz.de/10012497719
Saved in:
10
A novel cluster HAR-type model for forecasting realized volatility
Yao, Xingzhi
;
Izzeldin, Marwan
;
Li, Zhenxiong
- In:
International journal of forecasting
35
(
2019
)
4
,
pp. 1318-1331
Persistent link: https://www.econbiz.de/10012305326
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