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ECONIS (ZBW)
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A two-step framework for arbitrage-free prediction of the implied volatility surface
Zhang, Wenyong
;
Li, Lingfei
;
Zhang, Gongqiu
- In:
Quantitative finance
23
(
2023
)
1
,
pp. 21-34
Persistent link: https://www.econbiz.de/10013490950
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Data-driven hedging of stock index options via deep learning
Chen, Jie
;
Li, Lingfei
- In:
Operations research letters
51
(
2023
)
4
,
pp. 408-413
Persistent link: https://www.econbiz.de/10014426577
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Predicting macro-financial instability : how relevant is sentiment? : evidence from long short-term memory networks
Kanzari, Dalel
;
Nakhli, Mohamed Sahbi
;
Gaies, Brahim
; …
- In:
Research in international business and finance
65
(
2023
),
pp. 1-18
Persistent link: https://www.econbiz.de/10014436130
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A neural network approach to understanding implied volatility movements
Cao, Jay
;
Chen, Jacky
;
Hull, John
- In:
Options - 45 years since the publication of the …
,
(pp. 235-256)
.
2023
Persistent link: https://www.econbiz.de/10014366653
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5
Portfolio optimization with feedback strategies based on artificial neural networks
Kopeliovich, Yaacov
;
Pokojovy, Michael
- In:
Finance research letters
69
(
2024
)
2
,
pp. 1-8
Persistent link: https://www.econbiz.de/10015191872
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DeepVol : volatility forecasting from high-frequency data with dilated causal convolutions
Moreno-Pino, Fernando
;
Zohren, Stefan
- In:
Quantitative finance
24
(
2024
)
8
,
pp. 1105-1127
Persistent link: https://www.econbiz.de/10015196873
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Drilling deeper : non-linear, non-parametric natural gas price and volatility forecasting
Bajatovic, Dusan
;
Erdemlioglu, Deniz
;
Gradojevic, Nikola
- In:
The energy journal
45
(
2024
)
4
,
pp. 1-25
Persistent link: https://www.econbiz.de/10015323327
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Analysis of early warning of RMB exchange rate fluctuation and value at risk measurement based on deep learning
Lu, Chunyi
;
Teng, Zhuoqi
;
Gao, Yu
;
Wu, Renhong
; …
- In:
Computational economics
59
(
2022
)
4
,
pp. 1501-1524
Persistent link: https://www.econbiz.de/10013261898
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Asset returns in deep learning methods : an empirical analysis on SSE 50 and CSI 300
Li, Weiping
;
Mei, Feng
- In:
Research in international business and finance
54
(
2020
),
pp. 1-21
Persistent link: https://www.econbiz.de/10012581422
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Factor-augmented HAR model improves realized volatility forecasting
Kim, Dongwoo
;
Baek, Changryong
- In:
Applied economics letters
27
(
2020
)
12
,
pp. 1002-1009
Persistent link: https://www.econbiz.de/10012267030
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