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Journal of forecasting
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ECONIS (ZBW)
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1
GARCH-UGH : a bias-reduced approach for dynamic extreme Value-at-Risk estimation in financial time series
Kaibuchi, Hibiki
;
Kawasaki, Yoshinori
;
Stupfler, G.
- In:
Quantitative finance
22
(
2022
)
7
,
pp. 1277-1294
Persistent link: https://www.econbiz.de/10013367899
Saved in:
2
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:
3
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:
4
The impact of parameter and model uncertainty on market risk predictions from GARCH‐type models
Ardia, David
;
Kolly, Jeremy
;
Trottier, Denis‐Alexandre
- In:
Journal of forecasting
36
(
2017
)
7
,
pp. 808-823
Persistent link: https://www.econbiz.de/10011860735
Saved in:
5
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:
6
Estimating and forecasting APARCH-Skew-t model by wavelet support vector machines
Li, Yushu
- In:
Journal of forecasting
33
(
2014
)
4
,
pp. 259-269
Persistent link: https://www.econbiz.de/10010425754
Saved in:
7
Forecasting volatility with many predictors
Ke, Tsung-han
;
Hu, Yu-pin
- In:
Journal of forecasting
32
(
2013
)
8
,
pp. 743-754
Persistent link: https://www.econbiz.de/10010344461
Saved in:
8
Multivariate GARCH models with correlation clustering
So, Mike K. P.
;
Yip, Iris W. H.
- In:
Journal of forecasting
31
(
2012
)
5
,
pp. 443-468
Persistent link: https://www.econbiz.de/10009582107
Saved in:
9
A study of value-at-risk based on M-estimators of the conditional heteroscedastic models
Iqbal, Farhat
;
Mukherjee, Kanchan
- In:
Journal of forecasting
31
(
2012
)
5
,
pp. 377-390
Persistent link: https://www.econbiz.de/10009582118
Saved in:
10
Computationally efficient bootstrap prediction intervals for returns and volatilities in ARCH and GARCH processes
Chen, Bei
;
Gel, Yulia R.
;
Balakrishna, N.
;
Abraham, Bovas
- In:
Journal of forecasting
30
(
2011
)
1
,
pp. 51-71
Persistent link: https://www.econbiz.de/10009233916
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