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subject:"Capital income"
subject:"Zeitreihenanalyse"
~isPartOf:"Computational economics"
~isPartOf:"Working paper / National Bureau of Economic Research, Inc."
~subject:"Risk"
~subject:"Wohlfahrtsanalyse"
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784
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1
Nonparametric test for volatility in clustered multiple time series
Barrios, Erniel B.
;
Redondo, Paolo Victor T.
- In:
Computational economics
63
(
2024
)
2
,
pp. 861-876
Persistent link: https://www.econbiz.de/10014475068
Saved in:
2
A bootstrap method to test Granger-causality in the frequency domain
Farnè, Matteo
;
Montanari, Angela
- In:
Computational economics
59
(
2022
)
3
,
pp. 935-966
Persistent link: https://www.econbiz.de/10013169203
Saved in:
3
A comparative analysis of parsimonious yield curve models with focus on the Nelson-Siegel, Svensson and Bliss versions
Wahlstrøm, Ranik Raaen
;
Paraschiv, Florentina
; …
- In:
Computational economics
59
(
2022
)
3
,
pp. 967-1004
Persistent link: https://www.econbiz.de/10013169206
Saved in:
4
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:
5
Uncertainty optimization based feature selection model for stock marketing
Sinha, Arvind Kumar
;
Shende, Pradeep
- In:
Computational economics
63
(
2024
)
1
,
pp. 357-389
Persistent link: https://www.econbiz.de/10014472223
Saved in:
6
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:
7
Computing Macro-effects and welfare costs of temperature volatility : a structural approach
Donadelli, Michael
;
Jüppner, Marcus
;
Paradiso, Antonio
; …
- In:
Computational economics
58
(
2021
)
2
,
pp. 347-394
Persistent link: https://www.econbiz.de/10012615019
Saved in:
8
A hybrid ARFIMA wavelet artificial neural network model for DJIA index forecasting
Boubaker, Heni
;
Canarella, Giorgio
;
Gupta, Rangan
; …
- In:
Computational economics
62
(
2023
)
4
,
pp. 1801-1843
Persistent link: https://www.econbiz.de/10014437593
Saved in:
9
Modeling Bitcoin prices using signal processing methods, Bayesian optimization, and deep neural networks
Tripathi, Bhaskar
;
Sharma, Rakesh Kumar
- In:
Computational economics
62
(
2023
)
4
,
pp. 1919-1945
Persistent link: https://www.econbiz.de/10014442577
Saved in:
10
Extracting rules via Markov chains for cryptocurrencies returns forecasting
Felix do Nascimento, Kerolly Kedma
;
Santos, Fábio …
- In:
Computational economics
61
(
2023
)
3
,
pp. 1095-1114
Persistent link: https://www.econbiz.de/10014252144
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