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~isPartOf:"Applied economics letters"
~isPartOf:"Economic modelling"
~isPartOf:"Journal of forecasting"
~subject:"Statistical distribution"
~subject:"Systemrisiko"
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TWO-COMPONENT EXTREME VALUE DI...
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Statistical distribution
Systemrisiko
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71
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51
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Applied economics letters
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Insurance / Mathematics & economics
79
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50
Finance research letters
42
International journal of forecasting
31
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International review of financial analysis
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ECONIS (ZBW)
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1
Testing for Granger causality in distribution tails : an application to oil markets integration
Candelon, Bertrand
;
Joëts, Marc
;
Tokpavi, Sessi
- In:
Economic modelling
31
(
2013
),
pp. 276-285
Persistent link: https://www.econbiz.de/10009729103
Saved in:
2
Testing the Gaussian and Student's t copulas in a risk management framework
Lourme, Alexandre
;
Maurer, Frantz
- In:
Economic modelling
67
(
2017
),
pp. 203-214
Persistent link: https://www.econbiz.de/10011813813
Saved in:
3
Calculating Value-at-Risk for high-dimensional time series using a nonlinear random mapping model
Zhang, Heng-Guo
;
Su, Chi-Wei
;
Song, Yan
;
Qiu, Shuqi
; …
- In:
Economic modelling
67
(
2017
),
pp. 355-367
Persistent link: https://www.econbiz.de/10011813839
Saved in:
4
Improving the accuracy of tail risk forecasting models by combining several realized volatility estimators
Naimoli, Antonio
;
Gerlach, Richard
;
Storti, Giuseppe
- In:
Economic modelling
107
(
2022
),
pp. 1-19
Persistent link: https://www.econbiz.de/10013367470
Saved in:
5
Do realized higher moments have information content? : VaR forecasting based on the realized GARCH-RSRK model
Wang, Tianyi
;
Liang, Fang
;
Huang, Zhuo
;
Yan, Hong
- In:
Economic modelling
109
(
2022
),
pp. 1-13
Persistent link: https://www.econbiz.de/10013348237
Saved in:
6
A Bayesian realized threshold measurement GARCH framework for financial tail risk forecasting
Wang, Chao
;
Gerlach, Richard
- In:
Journal of forecasting
43
(
2024
)
1
,
pp. 40-57
Persistent link: https://www.econbiz.de/10014443184
Saved in:
7
Modeling uncertainty in financial tail risk : a forecast combination and weighted quantile approach
Storti, Giuseppe
;
Wang, Chao
- In:
Journal of forecasting
42
(
2023
)
7
,
pp. 1648-1663
Persistent link: https://www.econbiz.de/10014432743
Saved in:
8
Forecasting volatility and value-at-risk for cryptocurrency using GARCH-type models : the role of the probability distribution
Chen, Qihao
;
Huang, Zhuo
;
Liang, Fang
- In:
Applied economics letters
31
(
2024
)
18
,
pp. 1907-1914
Persistent link: https://www.econbiz.de/10015084570
Saved in:
9
Forecasting VaR models under different volatility processes and distributions of return innovations
Dendramis, Yiannis
;
Spungin, Giles E.
;
Tzavalis, Elias
- In:
Journal of forecasting
33
(
2014
)
7
,
pp. 515-531
Persistent link: https://www.econbiz.de/10011282095
Saved in:
10
Extreme value analysis of electricity demand in the UK
Chan, Stephen
;
Nadarajah, Saralees
- In:
Applied economics letters
22
(
2015
)
13/15
,
pp. 1246-1251
Persistent link: https://www.econbiz.de/10011312714
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