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A Learning-based Neural Networ...
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Quantitative finance
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ECONIS (ZBW)
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1
Can machine learning approaches predict corporate bankruptcy? : evidence from a qualitative experimental design
Lahmiri, Salim
;
Bekiros, Stelios
- In:
Quantitative finance
19
(
2019
)
9
,
pp. 1569-1577
Persistent link: https://www.econbiz.de/10012194807
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On parametric optimal execution and machine learning surrogates
Chen, Tao
;
Ludkovski, Mike
;
Voß, Moritz
- In:
Quantitative finance
24
(
2024
)
1
,
pp. 15-34
Persistent link: https://www.econbiz.de/10014551893
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3
A generative model of a limit order book using recurrent neural networks
Hultin, Hanna
;
Hult, Henrik
;
Proutiere, Alexandre
; …
- In:
Quantitative finance
23
(
2023
)
6
,
pp. 931-958
Persistent link: https://www.econbiz.de/10014304400
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4
Generative Bayesian neural network model for risk-neutral pricing of American index options
Jang, Huisu
;
Lee, Jaewook
- In:
Quantitative finance
19
(
2019
)
4
,
pp. 587-603
Persistent link: https://www.econbiz.de/10012194699
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5
Deep learning volatility : a deep neural network perspective on pricing and calibration in (rough) volatility models
Horvath, Blanka Nora
;
Muguruza, Aitor
;
Tomas, Mehdi
- In:
Quantitative finance
21
(
2021
)
1
,
pp. 11-27
Persistent link: https://www.econbiz.de/10012424629
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6
A modified CTGAN-plus-features-based method for optimal asset allocation
Peña, José-Manuel
;
Suárez, Fernando
;
Larré, Omar
; …
- In:
Quantitative finance
24
(
2024
)
3/4
,
pp. 465-479
Persistent link: https://www.econbiz.de/10014552083
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7
Neural network approach to portfolio optimization with leverage constraints : a case study on high inflation investment
Ni, Chendi
;
Li, Yuying
;
Forsyth, Peter A.
- In:
Quantitative finance
24
(
2024
)
6
,
pp. 753-777
Persistent link: https://www.econbiz.de/10015050794
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Implied volatility directional forecasting : a machine learning approach
Vrontos, Spyridon D.
;
Galakis, John
;
Vrontos, Ioannis D.
- In:
Quantitative finance
21
(
2021
)
10
,
pp. 1687-1706
Persistent link: https://www.econbiz.de/10012653707
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9
Machine learning for quantitative finance : fast derivative pricing, hedging and fitting
De Spiegeleer, Jan
;
Madan, Dilip B.
;
Reyners, Sofie
; …
- In:
Quantitative finance
18
(
2018
)
10
,
pp. 1635-1643
Persistent link: https://www.econbiz.de/10012259802
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10
Deep learning for limit order books
Sirignano, Justin A.
- In:
Quantitative finance
19
(
2019
)
4
,
pp. 549-570
Persistent link: https://www.econbiz.de/10012194696
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