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Stock price formation : precepts from a multi-agent reinforcement learning model
Lussange, Johann
;
Vrizzi, Stefano
;
Bourgeois-Gironde, Sacha
- In:
Computational economics
61
(
2023
)
4
,
pp. 1523-1544
Persistent link: https://www.econbiz.de/10014327067
Saved in:
2
Statistical evaluation of deep learning models for stock return forecasting
Yilmaz, Firat Melih
;
Yildiztepe, Engin
- In:
Computational economics
63
(
2024
)
1
,
pp. 221-244
Persistent link: https://www.econbiz.de/10014472083
Saved in:
3
Stock price ranking by learning pairwise preferences
Tas, Engin
;
Atli, Ayca Hatice
- In:
Computational economics
63
(
2024
)
2
,
pp. 513-528
Persistent link: https://www.econbiz.de/10014472383
Saved in:
4
Economic categorizing based on DFT-induced supervised learning
Chen, Ray-Ming
- In:
Computational economics
59
(
2022
)
1
,
pp. 125-150
Persistent link: https://www.econbiz.de/10013168929
Saved in:
5
Deep learning for financial engineering
Chen, Muyan
;
Sangaiah, Arun Kumar
;
Chen, Ting-Hsuan
; …
- In:
Computational economics
59
(
2022
)
4
,
pp. 1277-1281
Persistent link: https://www.econbiz.de/10013260254
Saved in:
6
Analysis of internet financial risks based on deep learning and BP neural network
Liu, Zixian
;
Du, Guansan
;
Zhou, Shuai
;
Lu, Haifeng
;
Ji, Han
- In:
Computational economics
59
(
2022
)
4
,
pp. 1481-1499
Persistent link: https://www.econbiz.de/10013261996
Saved in:
7
Kelly-based options trading strategies on settlement date via supervised learning algorithms
Wu, Mu-En
;
Syu, Jia-Hao
;
Chen, Chien-Ming
- In:
Computational economics
59
(
2022
)
4
,
pp. 1627-1644
Persistent link: https://www.econbiz.de/10013262110
Saved in:
8
Optimizing financial engineering time indicator using bionics computation algorithm and neural network deep learning
Wang, Zeyu
;
Deng, Yue
- In:
Computational economics
59
(
2022
)
4
,
pp. 1755-1772
Persistent link: https://www.econbiz.de/10013262346
Saved in:
9
A machine learning approach to detection of trade-based manipulations in Borsa Istanbul
Uslu, Nurullah Celal
;
Akal, Fuat
- In:
Computational economics
60
(
2022
)
1
,
pp. 25-45
Persistent link: https://www.econbiz.de/10013262418
Saved in:
10
Communication and learning : the bilateral information transmission in the cobweb model
Guse, Eran
;
Wong, M. C. Sunny
- In:
Computational economics
60
(
2022
)
2
,
pp. 693-723
Persistent link: https://www.econbiz.de/10013380807
Saved in:
11
Averages : there is still something to learn
Curto, José Dias
- In:
Computational economics
60
(
2022
)
2
,
pp. 755-779
Persistent link: https://www.econbiz.de/10013380829
Saved in:
12
Should deep learning models be in high demand, or should they simply be a very hot topic? : a comprehensive study for exchange rate forecasting
Yilmaz, Firat Melih
;
Arabaci, Ozer
- In:
Computational economics
57
(
2021
)
1
,
pp. 217-245
Persistent link: https://www.econbiz.de/10012486893
Saved in:
13
A new scalable Bayesian network learning algorithm with applications to economics
Tsagris, Michail
- In:
Computational economics
57
(
2021
)
1
,
pp. 341-367
Persistent link: https://www.econbiz.de/10012486914
Saved in:
14
A new hybrid instance-based learning model for decision-making in the P2P lending market
Babaei, Golnoosh
;
Bamdad, Shahrooz
- In:
Computational economics
57
(
2021
)
1
,
pp. 419-432
Persistent link: https://www.econbiz.de/10012486917
Saved in:
15
Heterogeneous expectations and uncertain inflation target
Marzioni, Stefano
;
Traficante, Guido
- In:
Computational economics
56
(
2020
)
3
,
pp. 601-621
Persistent link: https://www.econbiz.de/10012390414
Saved in:
16
Heuristic switching model and exploration-exploitation algorithm to describe long-run expectations in LtFEs : a comparison
Colasante, Annarita
;
Alfarano, Simone
;
Camacho-Cuena, Eva
- In:
Computational economics
56
(
2020
)
3
,
pp. 623-658
Persistent link: https://www.econbiz.de/10012390418
Saved in:
17
How active is active learning : value function method versus an approximation method
Amman, Hans M.
;
Tucci, Marco Paolo
- In:
Computational economics
56
(
2020
)
3
,
pp. 675-693
Persistent link: https://www.econbiz.de/10012390421
Saved in:
18
Agent-based modeling of a non-tâtonnement process for the scarf economy : the role of learning
Chen, Shu-Heng
;
Chie, Bin-Tzong
;
Kao, Ying-Fang
; …
- In:
Computational economics
54
(
2019
)
1
,
pp. 305-341
Persistent link: https://www.econbiz.de/10012134173
Saved in:
19
How many agents are rational in China's economy? : evidence from a heterogeneous agent-based New Keynesian Model
Zhao, Wei
;
Lu, Yi
;
Feng, Genfu
- In:
Computational economics
54
(
2019
)
2
,
pp. 575-611
Persistent link: https://www.econbiz.de/10012134324
Saved in:
20
Evolutionary climate-change modelling : a multi-agent climate-economic model
Geisendorf, Sylvie
- In:
Computational economics
52
(
2018
)
3
,
pp. 921-951
Persistent link: https://www.econbiz.de/10012053088
Saved in:
21
Contrarian behavior, information networks and heterogeneous expectations in an asset pricing model
Makarewicz, Tomasz
- In:
Computational economics
50
(
2017
)
2
,
pp. 231-279
Persistent link: https://www.econbiz.de/10011762381
Saved in:
22
Using a genetic algorithm to improve recurrent reinforcement learning for equity trading
Zhang, Jin
;
Maringer, Dietmar G.
- In:
Computational economics
47
(
2016
)
4
,
pp. 551-567
Persistent link: https://www.econbiz.de/10011712464
Saved in:
23
Hybrid method of multiple kernel learning and genetic algorithm for forecasting short-term foreign exchange rates
Deng, Shangkun
;
Yoshiyama, Kazuki
;
Mitsubuchi, Takashi
; …
- In:
Computational economics
45
(
2015
)
1
,
pp. 49-89
Persistent link: https://www.econbiz.de/10010511339
Saved in:
24
Integration of path-dependency in a simple learning model : the case of marine resources
Udumyan, Narine
;
Rouchier, Juliette
;
Ami, Dominique C.
- In:
Computational economics
43
(
2014
)
2
,
pp. 199-231
Persistent link: https://www.econbiz.de/10010249705
Saved in:
25
Simulating the evolution of market shares : the effects of customer learning and local network externalities
Zhao, Liangjie
;
Duan, Wenqi
- In:
Computational economics
43
(
2014
)
1
,
pp. 53-70
Persistent link: https://www.econbiz.de/10010249725
Saved in:
26
Multiple kernel learning with Fisher kernels for high frequency currency prediction
Fletcher, Tristan
;
Shawe-Taylor, John
- In:
Computational economics
42
(
2013
)
2
,
pp. 217-240
Persistent link: https://www.econbiz.de/10009775711
Saved in:
27
The impact of interaction and social learning on aggregate expectations
Bowden, Mark
;
Macdonald, Stuart
- In:
Computational economics
31
(
2008
)
3
,
pp. 289-306
Persistent link: https://www.econbiz.de/10003691921
Saved in:
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