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~isPartOf:"Quantitative finance"
~subject:"Schätztheorie"
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102
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Assessing the accuracy of exponentially weighted moving average models for value-at-risk and expected shortfall of crypto portfolios
Alexander, Carol
;
Dakos, Michael
- In:
Quantitative finance
23
(
2023
)
3
,
pp. 393-427
Persistent link: https://www.econbiz.de/10014232660
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2
Improving the asymmetric stochastic volatility model with ex-post volatility : the identification of the asymmetry
Zhang, Zehua
;
Zhao, Ran
- In:
Quantitative finance
23
(
2023
)
1
,
pp. 35-51
Persistent link: https://www.econbiz.de/10013490951
Saved in:
3
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
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4
Bayesian estimation of electricity price risk with a multi-factor mixture of densities
Kang, Li
;
Walker, Stephen G.
;
Damien, Paul
;
Bunn, Derek W.
- In:
Quantitative finance
22
(
2022
)
8
,
pp. 1535-1544
Persistent link: https://www.econbiz.de/10013367927
Saved in:
5
Sparse index tracking using sequential Monte Carlo
Satpathy, Tanmay
;
Shah, Rushabh
- In:
Quantitative finance
22
(
2022
)
9
,
pp. 1579-1592
Persistent link: https://www.econbiz.de/10013367930
Saved in:
6
Dynamic quantile function models
Chen, Wilson Ye
;
Peters, Gareth
;
Gerlach, Richard H.
; …
- In:
Quantitative finance
22
(
2022
)
9
,
pp. 1665-1691
Persistent link: https://www.econbiz.de/10013367940
Saved in:
7
Pairs trading with general state space models
Zhang, Guang
- In:
Quantitative finance
21
(
2021
)
9
,
pp. 1567-1587
Persistent link: https://www.econbiz.de/10012624158
Saved in:
8
Refinement by reducing and reusing random numbers of the Hybrid scheme for Brownian semistationary processes
Fukasawa, Masaaki
;
Hirano, Asuto
- In:
Quantitative finance
21
(
2021
)
7
,
pp. 1127-1146
Persistent link: https://www.econbiz.de/10012588025
Saved in:
9
The stochastic collocation Monte Carlo sampler : highly efficient sampling from "expensive" distributions
Grzelak, Lech A.
;
Witteveen, J. A. S.
;
Suárez-Taboada, M.
- In:
Quantitative finance
19
(
2019
)
2
,
pp. 339-356
Persistent link: https://www.econbiz.de/10012194657
Saved in:
10
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
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