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43
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24
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22
Chiarella, Carl
22
Semmler, Willi
21
Villani, Giovanni
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19
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18
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17
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14
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14
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Shukur, Ghazi
13
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10
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Computational economics
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878
International journal of computational economics and econometrics
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121
International Journal of Computational Economics and Econometrics
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Advances in Computational Economics
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Handbook of computational economics : Volume 4: Heterogeneous agent modeling
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Three essays in computational economics
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6th International Symposium in Computational Economics and Finance, Paris, October 29-31, 2020
1
Computational Economics, 2015
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Computational Economics, April
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Computational Economics, Forthcoming
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This is a pre-print of an article published in Computational Economics, 2019. The final authenticated version is available online at DOI: 10.1007/s10614-019-09932-9
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281
Feature selection and hyperparameters optimization employing a hybrid model based on genetic algorithm and artifcial neural network : forecasting dividend payout ratio
Konak, Fatih
;
Bülbül, Mehmet Akif
;
Türkoǧlu, Diler
- In:
Computational economics
63
(
2024
)
4
,
pp. 1673-1693
Persistent link: https://www.econbiz.de/10014549172
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282
Microfounded tax revenue forecast model with heterogeneous population and genetic algorithm approach
Alexi, Ariel
;
Lazebnik, Teddy
;
Shami, Labib
- In:
Computational economics
63
(
2024
)
5
,
pp. 1705-1734
Persistent link: https://www.econbiz.de/10014549204
Saved in:
283
OG‑CAT : a novel algorithmic trading alternative to investment in crypto market
Khurana, Surinder Singh
;
Parvinder Singh
;
Garg, Naresh Kumar
- In:
Computational economics
63
(
2024
)
5
,
pp. 1735-1756
Persistent link: https://www.econbiz.de/10014549239
Saved in:
284
New unit root tests in the nonlinear ESTAR framework : the movement and volatility characteristics of crude oil and copper prices
Li, Yanglin
- In:
Computational economics
63
(
2024
)
5
,
pp. 1757-1776
Persistent link: https://www.econbiz.de/10014549246
Saved in:
285
A new boosting algorithm for online portfolio selection based on dynamic time warping and anti‑correlation
He, Hongliu
;
Li, Hua
- In:
Computational economics
63
(
2024
)
5
,
pp. 1777-1803
Persistent link: https://www.econbiz.de/10014549254
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286
Prophet‑LSTM‑BP ensemble carbon trading price prediction model
Meng, Fansheng
;
Dou, Rong
- In:
Computational economics
63
(
2024
)
5
,
pp. 1805-1825
Persistent link: https://www.econbiz.de/10014549439
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287
Machine learning method for return direction forecast of Exchange Traded Funds (ETFs) using classifcation and regression models
Paulo Beal Piovezan, Raphael
;
Andrade Júnior, Pedro …
- In:
Computational economics
63
(
2024
)
5
,
pp. 1827-1852
Persistent link: https://www.econbiz.de/10014549448
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288
Analytical and numerical solution for the time fractional black‑scholes model under jump‑diffusion
Mohapatra, Jugal
;
Santra, Sudarshan
;
Ramos, Higinio
- In:
Computational economics
63
(
2024
)
5
,
pp. 1853-1878
Persistent link: https://www.econbiz.de/10014549463
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289
Scenario generation for financial data with a machine learning approach based on realized volatility and copulas
Mesquita, Caio Mário
;
Valle, Cristiano Arbex
;
Pereira, …
- In:
Computational economics
63
(
2024
)
5
,
pp. 1879-1919
Persistent link: https://www.econbiz.de/10014550838
Saved in:
290
Analyzing human search behavior when subjective returns are unobservable
Nakazato, Shinji
;
Yang, Bojian
;
Shimokawa, Tesuya
- In:
Computational economics
63
(
2024
)
5
,
pp. 1921-1947
Persistent link: https://www.econbiz.de/10014550839
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