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~isPartOf:"Finance research letters"
~isPartOf:"Working paper / Department of Econometrics and Business Statistics, Monash University"
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Search: subject_exact:"Prognosetechnik"
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Forecasting model
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120
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Hyndman, Rob J.
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Finance research letters
Working paper / Department of Econometrics and Business Statistics, Monash University
International journal of forecasting
707
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436
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139
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128
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55
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International review of financial analysis
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ECONIS (ZBW)
146
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1
Optimal forecast reconciliation with time series selection
Wang, Xiaoqian
;
Hyndman, Rob J.
;
Wickramasuriya, Shanika L.
-
2024
Persistent link: https://www.econbiz.de/10014534120
Saved in:
2
Bayesian forecasting in the 21st century : a modern review
Martin, Gael M.
;
Frazier, David T.
;
Loiza-Maya, Ruben
; …
-
2023
Persistent link: https://www.econbiz.de/10014315412
Saved in:
3
Cross-temporal probabilistic forecast reconciliation
Girolimetto, Daniele
;
Athanasopoulos, George
;
Di Fonzo, …
-
2023
Persistent link: https://www.econbiz.de/10014316407
Saved in:
4
Forecast reconciliation : a review
Athanasopoulos, George
;
Hyndman, Rob J.
;
Kouretzes, Nikolaos
-
2023
Persistent link: https://www.econbiz.de/10014451345
Saved in:
5
ABC-based forecasting in state space models
Weerasinghe, Chaya
;
Loiza-Maya, Ruben
;
Martin, Gael M.
; …
-
2023
Persistent link: https://www.econbiz.de/10014452518
Saved in:
6
Solving the forecast combination puzzle
Frazier, David T.
;
Covey, Ryan
;
Martin, Gael M.
; …
-
2023
Persistent link: https://www.econbiz.de/10014452579
Saved in:
7
Variational Bayes in state space models : inferential and predictive accuracy
Frazier, David T.
;
Loiza-Maya, Ruben
;
Martin, Gael M.
-
2022
Persistent link: https://www.econbiz.de/10013193949
Saved in:
8
The impact of sampling variability on estimated combinations of distributional forecasts
Zischke, Ryan
;
Martin, Gael M.
;
Frazier, David T.
; …
-
2022
Persistent link: https://www.econbiz.de/10013494329
Saved in:
9
Forecasting stock volatility using time-distance weighting fundamental’s shocks
Mei, Xueting
;
Wang, Xinyu
- In:
Finance research letters
65
(
2024
),
pp. 1-10
Persistent link: https://www.econbiz.de/10014564298
Saved in:
10
Can asymmetry, long memory, and current return information improve crude oil volatility prediction? : evidence from ASHARV-MIDAS model
Chen, Zhenlong
;
Liu, Junjie
;
Hao, Xiaozhen
- In:
Finance research letters
64
(
2024
),
pp. 1-8
Persistent link: https://www.econbiz.de/10014531739
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