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~accessRights:"restricted"
~person:"Gerlach, Richard"
~person:"Herbst, Edward P."
~subject:"Theorie"
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Search: subject_exact:"Monte Carlo method"
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Gerlach, Richard
Herbst, Edward P.
Tsionas, Efthymios G.
15
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5
Li, Yong
5
Assaf, A. Georges
4
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A semi-parametric conditional autoregressive joint value-at-risk and expected shortfall modeling framework incorporating realized measures
Wang, Chao
;
Gerlach, Richard
;
Chen, Qian
- In:
Quantitative finance
23
(
2023
)
2
,
pp. 309-334
Persistent link: https://www.econbiz.de/10014232647
Saved in:
2
Bayesian semi-parametric realized conditional autoregressive expectile models for tail risk forecasting
Gerlach, Richard
;
Wang, Chao
- In:
Journal of financial econometrics
20
(
2022
)
1
,
pp. 105-138
Persistent link: https://www.econbiz.de/10012878188
Saved in:
3
Semi-parametric dynamic asymmetric Laplace models for tail risk forecasting, incorporating realized measures
Gerlach, Richard
;
Wang, Chao
- In:
International journal of forecasting
36
(
2020
)
2
,
pp. 489-506
Persistent link: https://www.econbiz.de/10012415185
Saved in:
4
Tempered particle filtering
Herbst, Edward P.
;
Schorfheide, Frank
- In:
Journal of econometrics
210
(
2019
)
1
,
pp. 26-44
Persistent link: https://www.econbiz.de/10012303367
Saved in:
5
Bayesian realized-GARCH models for financial tail risk forecasting incorporating the two-sided Weibull distribution
Wang, Chao
;
Chen, Qian
;
Gerlach, Richard
- In:
Quantitative finance
19
(
2019
)
6
,
pp. 1017-1042
Persistent link: https://www.econbiz.de/10012194739
Saved in:
6
Sequential Monte Carlo sampling for DSGE models
Herbst, Edward P.
;
Schorfheide, Frank
-
2013
Persistent link: https://www.econbiz.de/10009767519
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