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~isPartOf:"Quantitative finance"
~isPartOf:"Working paper"
~person:"Carroll, Ray"
~person:"Cooper, John C. B."
~person:"Ju, Geonhwan"
~person:"Wan, Justin W. L."
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Efficient pricing and hedging of high-dimensional American options using deep recurrent networks
Na, Andrew S.
;
Wan, Justin W. L.
- In:
Quantitative finance
23
(
2023
)
4
,
pp. 631-651
Persistent link: https://www.econbiz.de/10014304288
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Optimal asset allocation for outperforming a stochastic benchmark target
Ni, Chendi
;
Li, Yuying
;
Forsyth, Peter A.
;
Carroll, Ray
- In:
Quantitative finance
22
(
2022
)
9
,
pp. 1595-1626
Persistent link: https://www.econbiz.de/10013367937
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Deep neural network framework based on backward stochastic differential equations for pricing and hedging American options in high dimensions
Chen, Yangang
;
Wan, Justin W. L.
- In:
Quantitative finance
21
(
2021
)
1
,
pp. 45-67
Persistent link: https://www.econbiz.de/10012424632
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4
Learning multi-market microstructure from order book data
Ju, Geonhwan
;
Kim, Kyoung-Kuk
;
Lim, Dong-Young
- In:
Quantitative finance
19
(
2019
)
9
,
pp. 1517-1529
Persistent link: https://www.econbiz.de/10012194803
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5
Artificial neural networks versus multivariate statistics : an application from economics
Cooper, John C. B.
-
1998
Persistent link: https://www.econbiz.de/10000683183
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