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subject:"Stochastischer Prozess"
subject:"Volatility"
~isPartOf:"Discussion papers of interdisciplinary research project 373"
~isPartOf:"Journal of forecasting"
~subject:"Maximum likelihood estimation"
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Stochastischer Prozess
Volatility
Maximum likelihood estimation
Estimation theory
252
Schätztheorie
252
Forecasting model
72
Prognoseverfahren
72
Time series analysis
69
Zeitreihenanalyse
69
Regression analysis
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Härdle, Wolfgang
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Spokojnyj, Vladimir G.
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Reiß, Markus
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An, Yang
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Banachewicz, Konrad
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Brou, Jean Marcelin Bosson
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Gel, Yulia R.
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Sonderforschungsbereich Quantifikation und Simulation Ökonomischer Prozesse
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Discussion papers of interdisciplinary research project 373
Journal of forecasting
Journal of econometrics
212
Journal of business & economic statistics : JBES ; a publication of the American Statistical Association
71
Discussion paper / Tinbergen Institute
56
Economics letters
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Econometric reviews
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Journal of financial econometrics : official journal of the Society for Financial Econometrics
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Journal of the American Statistical Association : JASA
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International journal of forecasting
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Cowles Foundation discussion paper
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Finance research letters
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SFB 649 discussion paper
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Journal of financial econometrics
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Applied economics letters
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Empirical economics : a journal of the Institute for Advanced Studies, Vienna, Austria
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ECONIS (ZBW)
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1
Mixed-frequency predictive regressions with parameter learning
Leippold, Markus
;
Yang, Hanlin
- In:
Journal of forecasting
42
(
2023
)
8
,
pp. 1955-1972
Persistent link: https://www.econbiz.de/10014432824
Saved in:
2
Dynamic forecasting for nonstationary high-frequency financial data with jumps based on series decomposition and reconstruction
Song, Yuping
;
Li, Zhenwei
;
Ma, Zhiren
;
Sun, Xiaoyu
- In:
Journal of forecasting
42
(
2023
)
5
,
pp. 1055-1068
Persistent link: https://www.econbiz.de/10014338810
Saved in:
3
Forecasting stock return volatility : realized volatility-type or duration-based estimators
Fei, Tianlun
;
Liu, Xiaoquan
;
Wen, Conghua
- In:
Journal of forecasting
42
(
2023
)
7
,
pp. 1594-1621
Persistent link: https://www.econbiz.de/10014432725
Saved in:
4
Forecasting Bitcoin volatility : a new insight from the threshold regression model
Zhang, Yaojie
;
He, Mengxi
;
Wen, Danyan
;
Wang, Yudong
- In:
Journal of forecasting
41
(
2022
)
3
,
pp. 633-652
Persistent link: https://www.econbiz.de/10013166172
Saved in:
5
Short‐term stock price prediction based on limit order book dynamics
An, Yang
;
Chan, Ngai Hang
- In:
Journal of forecasting
36
(
2017
)
5
,
pp. 541-556
Persistent link: https://www.econbiz.de/10011860685
Saved in:
6
Backtesting value‐at‐risk : a generalized Markov test
Pajhede, Thor
- In:
Journal of forecasting
36
(
2017
)
5
,
pp. 597-613
Persistent link: https://www.econbiz.de/10011860704
Saved in:
7
Long memory of financial time series and hidden Markov models with time‐varying parameters
Nystrup, Peter
;
Madsen, Henrik
;
Lindström, Erik
- In:
Journal of forecasting
36
(
2017
)
8
,
pp. 989-1002
Persistent link: https://www.econbiz.de/10011860941
Saved in:
8
Modeling and forecasting aggregate stock market volatility in unstable environments using mixture innovation regressions
Nonejad, Nima
- In:
Journal of forecasting
36
(
2017
)
6
,
pp. 718-740
Persistent link: https://www.econbiz.de/10011861413
Saved in:
9
Predicting stock return volatility : can we benefit from regression models for return intervals?
Fischer, Henning
;
Blanco-Fernández, Ángela
;
Winker, Peter
- In:
Journal of forecasting
35
(
2016
)
2
,
pp. 113-146
Persistent link: https://www.econbiz.de/10011580244
Saved in:
10
Estimating and predicting the general random effects model
Kouassi, Eugène
;
Kamdem, Alain Constant
;
Mougoué, Mbodja
- In:
Journal of forecasting
33
(
2014
)
4
,
pp. 270-283
Persistent link: https://www.econbiz.de/10010425747
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