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International Conference on Stochastic Programming <15., 2019, Trondheim>
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Informative option portfolios in filter design for option pricing models
Orłowski, Piotr
- In:
Quantitative finance
21
(
2021
)
6
,
pp. 945-965
Persistent link: https://www.econbiz.de/10012515627
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Combining long memory and level shifts in modelling and forecasting the volatility of asset returns
Varneskov, Rasmus Tangsgaard
;
Perron, Pierre
- In:
Quantitative finance
18
(
2018
)
3
,
pp. 371-393
Persistent link: https://www.econbiz.de/10011906384
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3
Sequential Monte Carlo for fractional stochastic volatility models
Chronopoulou, Alexandra
;
Spiliopoulos, Konstantinos
- In:
Quantitative finance
18
(
2018
)
3
,
pp. 507-517
Persistent link: https://www.econbiz.de/10011906404
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Liquidity fluctuations and the latent dynamics of price impact
Mertens, Luca Philippe
;
Ciacci, Alberto
;
Lillo, Fabrizio
; …
- In:
Quantitative finance
22
(
2022
)
1
,
pp. 149-169
Persistent link: https://www.econbiz.de/10012872529
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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
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The interest rate factor in commodity markets
Shu, Haicheng
- In:
Quantitative finance
21
(
2021
)
12
,
pp. 2103-2118
Persistent link: https://www.econbiz.de/10012696821
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A neural network enhanced volatility component model
Zhai, Jia
;
Cao, Yi
;
Liu, Xiaoquan
- In:
Quantitative finance
20
(
2020
)
5
,
pp. 783-797
Persistent link: https://www.econbiz.de/10012262620
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8
Non-linear Gaussian sovereign CDS pricing models
Realdon, Marco
- In:
Quantitative finance
19
(
2019
)
2
,
pp. 191-210
Persistent link: https://www.econbiz.de/10012194648
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The impact of investor sentiment on crude oil market risks : evidence from the wavelet approach
Zhang, Yue-jun
;
Li, Shu-Hui
- In:
Quantitative finance
19
(
2019
)
8
,
pp. 1357-1371
Persistent link: https://www.econbiz.de/10012194792
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Structural asset pricing theory with wavelets
Housworth, Elizabeth Ann
;
Walker, Todd B.
;
Xu, Chen
- In:
Quantitative finance
19
(
2019
)
10
,
pp. 1659-1672
Persistent link: https://www.econbiz.de/10012194814
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