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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
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:
4
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:
5
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:
6
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:
7
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
Saved in:
8
Use of econometric predictors and artificial neural networks for the construction of stock market investment bots
Nametala, Ciniro A. L.
;
Souza, Jonas Villela de
; …
- In:
Computational economics
61
(
2023
)
2
,
pp. 743-773
Persistent link: https://www.econbiz.de/10014228461
Saved in:
9
Finite sample lag adjusted critical values of the ADF-GLS test
Sephton, Peter S.
- In:
Computational economics
59
(
2022
)
1
,
pp. 177-183
Persistent link: https://www.econbiz.de/10013168958
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10
A Wiener-Kolmogorov filter for seasonal adjustment and the Cholesky decomposition of a Toeplitz matrix
Pollock, David Stephen G.
;
Mise, Emi
- In:
Computational economics
59
(
2022
)
3
,
pp. 913-933
Persistent link: https://www.econbiz.de/10013169117
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11
A new bootstrapped hybrid artificial neural network approach for time series forecasting
Eğrioğlu, Erol
;
Fildes, Robert
- In:
Computational economics
59
(
2022
)
4
,
pp. 1355-1383
Persistent link: https://www.econbiz.de/10013260258
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12
Swarm intelligence based hybrid neural network approach for stock price forecasting
Kumar, Gourav
;
Singh, Uday Pratap
;
Jain, Sanjeev
- In:
Computational economics
60
(
2022
)
3
,
pp. 991-1039
Persistent link: https://www.econbiz.de/10013380863
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13
Does capacity utilization predict inflation? : a wavelet based evidence from United States
Bahramian, Pejman
;
Saliminezhad, Andisheh
- In:
Computational economics
58
(
2021
)
4
,
pp. 1103-1125
Persistent link: https://www.econbiz.de/10012697888
Saved in:
14
Testing for time-varying properties under misspecified conditional mean and variance
Maki, Daiki
;
Ota, Yasushi
- In:
Computational economics
57
(
2021
)
4
,
pp. 1167-1182
Persistent link: https://www.econbiz.de/10012543270
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15
Unemployment rate forecasting : a hybrid approach
Chakraborty, Tanujit
;
Chakraborty, Ashis Kumar
;
Biswas, …
- In:
Computational economics
57
(
2021
)
1
,
pp. 183-201
Persistent link: https://www.econbiz.de/10012486888
Saved in:
16
Bayesian estimation for high-frequency volatility models in a time deformed framework
Santos, Antonio A. F.
- In:
Computational economics
57
(
2021
)
2
,
pp. 455-479
Persistent link: https://www.econbiz.de/10012486920
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17
Stationarity statistics on rolling windows
Ross, Joseph
- In:
Computational economics
57
(
2021
)
2
,
pp. 655-691
Persistent link: https://www.econbiz.de/10012486950
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18
On a bivariate hysteretic AR-GARCH model with conditional asymmetry in correlations
Chen, Cathy W. S.
;
Than-Thi, Hong
;
Asai, Manabu
- In:
Computational economics
58
(
2021
)
2
,
pp. 413-433
Persistent link: https://www.econbiz.de/10012615031
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19
Forecasting volatility for an optimal portfolio with stylized facts using copulas
Karmous, Aida
;
Boubaker, Heni
;
Belkacem, Lotfi
- In:
Computational economics
58
(
2021
)
2
,
pp. 461-482
Persistent link: https://www.econbiz.de/10012615046
Saved in:
20
Statistical validation of multi-agent financial models using the H-infinity Kalman Filter
Rigatos, Gerasimos G.
- In:
Computational economics
58
(
2021
)
3
,
pp. 777-798
Persistent link: https://www.econbiz.de/10012651029
Saved in:
21
Estimating non-stationary common factors : implications for risk sharing
Corona, Francisco
;
Poncela, Pilar
;
Ruiz, Esther
- In:
Computational economics
55
(
2020
)
1
,
pp. 37-60
Persistent link: https://www.econbiz.de/10012222591
Saved in:
22
Invertibility and VAR representations of time-varying dynamic stochastic general equilibrium models
Cavicchioli, Maddalena
- In:
Computational economics
55
(
2020
)
1
,
pp. 61-86
Persistent link: https://www.econbiz.de/10012222592
Saved in:
23
Wavelet estimation performance of fractional integrated processes with heavy-tails
Boubaker, Heni
- In:
Computational economics
55
(
2020
)
2
,
pp. 473-498
Persistent link: https://www.econbiz.de/10012223642
Saved in:
24
Are central bankers inflation nutters? : an MCMC estimator of the long-memory üarameter in a state space model
Andersson, Fredrik N. G.
;
Li, Yushu
- In:
Computational economics
55
(
2020
)
2
,
pp. 529-549
Persistent link: https://www.econbiz.de/10012223649
Saved in:
25
Prediction of unemployment rates with time series and machine learning techniques
Katris, Christos
- In:
Computational economics
55
(
2020
)
2
,
pp. 673-706
Persistent link: https://www.econbiz.de/10012223659
Saved in:
26
Forecasting financial networks
Caraiani, Petre
- In:
Computational economics
55
(
2020
)
3
,
pp. 983-997
Persistent link: https://www.econbiz.de/10012223690
Saved in:
27
Introduction to topics in modelling financial and macroeconomic time series
Jawadi, Fredj
- In:
Computational economics
56
(
2020
)
1
,
pp. 1-3
Persistent link: https://www.econbiz.de/10012272013
Saved in:
28
Intertemporal similarity of economic time series : an application of dynamic time warping
Franses, Philip Hans
;
Wiemann, Thomas
- In:
Computational economics
56
(
2020
)
1
,
pp. 59-75
Persistent link: https://www.econbiz.de/10012272016
Saved in:
29
Multifractal analysis of realized volatilities in Chinese stock market
Liu, Yufang
;
Zhang, Weiguo
;
Fu, Junhui
;
Wu, Xiang
- In:
Computational economics
56
(
2020
)
2
,
pp. 319-336
Persistent link: https://www.econbiz.de/10012272033
Saved in:
30
Nonlinear scaling behavior of visible volatility duration for financial statistical physics dynamics
Zhang, B.
;
Wang, J.
;
Zhang, W.
;
Wang, G. C.
- In:
Computational economics
56
(
2020
)
2
,
pp. 373-389
Persistent link: https://www.econbiz.de/10012272040
Saved in:
31
Optimal filter approximations for latent long memory stochastic volatility
Yap, Grace Lee Ching
- In:
Computational economics
56
(
2020
)
2
,
pp. 547-568
Persistent link: https://www.econbiz.de/10012272047
Saved in:
32
Special issue: modelling financial and macroeconomic time series
Jawadi, Fredj
(
ed.
)
-
2020
Persistent link: https://www.econbiz.de/10012272051
Saved in:
33
Testing for periodic integration with a changing mean
Barrio Castro, Tomás del
;
Camarero Olivas, Mariam
; …
- In:
Computational economics
54
(
2019
)
1
,
pp. 45-75
Persistent link: https://www.econbiz.de/10012134081
Saved in:
34
Fast and adaptive cointegration based model for forecasting high frequency financial time series
Arce, Paola
;
Antognini, Jonathan
;
Kristjanpoller …
- In:
Computational economics
54
(
2019
)
1
,
pp. 99-112
Persistent link: https://www.econbiz.de/10012134087
Saved in:
35
Nowcasting GDP growth for small open economies with a mixed-frequency structural model
Yau, Ruey
;
Hueng, C. James
- In:
Computational economics
54
(
2019
)
1
,
pp. 177-198
Persistent link: https://www.econbiz.de/10012134110
Saved in:
36
Applying independent component analysis and predictive systems for algorithmic trading
Ceffer, Attila
;
Levendovszky, Janos
;
Fogarasi, Norbert
- In:
Computational economics
54
(
2019
)
1
,
pp. 281-303
Persistent link: https://www.econbiz.de/10012134161
Saved in:
37
Forecasting inflation uncertainty in the United States and Euro area
Ftiti, Zied
;
Jawadi, Fredj
- In:
Computational economics
54
(
2019
)
1
,
pp. 455-476
Persistent link: https://www.econbiz.de/10012134205
Saved in:
38
How unemployment affects bond prices : a mixed frequency google nowcasting approach
Dimpfl, Thomas
;
Langen, Tobias
- In:
Computational economics
54
(
2019
)
2
,
pp. 551-573
Persistent link: https://www.econbiz.de/10012134322
Saved in:
39
A continuous differentiable wavelet shrinkage function for economic data denoising
He, Fan
;
He, Xuansen
- In:
Computational economics
54
(
2019
)
2
,
pp. 729-761
Persistent link: https://www.econbiz.de/10012134350
Saved in:
40
Jump detection and noise separation by a singular wavelet method for predictive analytics of high-frequency data
Chen, Yi-Ting
;
Lai, Wan-Ni
;
Sun, Edward W.
- In:
Computational economics
54
(
2019
)
2
,
pp. 809-844
Persistent link: https://www.econbiz.de/10012134380
Saved in:
41
Evolutionary computation for macroeconomic forecasting
Claveria, Oscar
;
Monte, Enric
;
Torra, Salvador
- In:
Computational economics
53
(
2019
)
2
,
pp. 833-849
Persistent link: https://www.econbiz.de/10012134879
Saved in:
42
A practical approach to testing calibration strategies
Cao, Yongquan
;
Gordon, Grey
- In:
Computational economics
53
(
2019
)
3
,
pp. 1165-1182
Persistent link: https://www.econbiz.de/10012135125
Saved in:
43
On Jackknife-after-bootstrap method for dependent data
Beyaztas, Ufuk
;
Beyaztas, Beste H.
- In:
Computational economics
53
(
2019
)
4
,
pp. 1613-1632
Persistent link: https://www.econbiz.de/10012135579
Saved in:
44
Time series simulation with randomized quasi-monte carlo methods : an application to value at risk and expected shortfall
Tzeng, Yu-Ying
;
Beaumont, Paul Michael
;
Ökten, Giray
- In:
Computational economics
52
(
2018
)
1
,
pp. 55-77
Persistent link: https://www.econbiz.de/10012052921
Saved in:
45
Evolutionary frequency and forecasting accuracy : simulations based on an agent-based artificial stock market
Huang, Ya-Chi
;
Tsao, Chueh-Yung
- In:
Computational economics
52
(
2018
)
1
,
pp. 79-104
Persistent link: https://www.econbiz.de/10012052922
Saved in:
46
A hybrid metaheuristic for the efficient solution of GARCH with trend models
Uribe, Lourdes
;
Perea, Benjamin
;
Hernández del Valle, …
- In:
Computational economics
52
(
2018
)
1
,
pp. 145-166
Persistent link: https://www.econbiz.de/10012052926
Saved in:
47
Nonlinear forecasting of Euro Area industrial production using evolutionary approaches
Avdoulas, Christos
;
Bekiros, Stelios
- In:
Computational economics
52
(
2018
)
2
,
pp. 521-530
Persistent link: https://www.econbiz.de/10012052980
Saved in:
48
Risk assessment with wavelet feature engineering for high-frequency portfolio trading
Chen, Yi-Ting
;
Sun, Edward W.
;
Yu, Min-Teh
- In:
Computational economics
52
(
2018
)
2
,
pp. 653-684
Persistent link: https://www.econbiz.de/10012053020
Saved in:
49
Calibrating the Italian smile with time-varying volatility and heavy-tailed models
Bianchi, Michele Leonardo
;
Račev, Svetlozar T.
; …
- In:
Computational economics
51
(
2018
)
3
,
pp. 339-378
Persistent link: https://www.econbiz.de/10011963681
Saved in:
50
A semi-parametric non-linear neural network filter : theory and empirical evidence
Michaēlidēs, Panagiōtēs G.
;
Tsionas, Efthymios G.
; …
- In:
Computational economics
51
(
2018
)
3
,
pp. 637-675
Persistent link: https://www.econbiz.de/10011963721
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