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Post‑COVID recovery and long‑run forecasting of Indian GDP with Factor‑Augmented Error Correction Model (FECM)
Maiti, Dibyendu; Kumar, Naveen; Jha, Debajit; Sarkar, … - In: Computational economics 63 (2024) 3, pp. 1095-1120
Persistent link: https://www.econbiz.de/10014546333
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A new look at cross-country aggregation in the global VAR approach : theory and Monte Carlo simulation
Gündüz, Halil İbrahim; Emirmahmutoglu, Furkan; … - In: Computational economics 65 (2025) 1, pp. 21-67
Persistent link: https://www.econbiz.de/10015195756
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Non-linear cointegration test, based on record counting statistic
Atil, Lynda; Fellag, Hocine; Sipols, Ana E.; … - In: Computational economics 64 (2024) 4, pp. 2205-2230
Persistent link: https://www.econbiz.de/10015144009
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Optimal estimation strategies for bivariate fractional cointegration systems and the co-persistence analysis of stock market realized volatilities
Aloy, Marcel; Truchis, Gilles de - In: Computational economics 48 (2016) 1, pp. 83-104
Persistent link: https://www.econbiz.de/10011646595
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Modelling time-varying parameters in panel data state-space frameworks : an application to the Feldstein–Horioka puzzle
Camarero Olivas, Mariam; Sapena, Juan; Tamarit … - In: Computational economics 56 (2020) 1, pp. 87-114
Persistent link: https://www.econbiz.de/10012272020
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Multivariate cointegration and temporal aggregation : some further simulation results
Otero, Jesús G.; Panagiōtidēs, Theodōros; … - In: Computational economics 59 (2022) 1, pp. 59-70
Persistent link: https://www.econbiz.de/10013168902
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Controlling heterogeneous structure of smooth breaks in panel unit root and cointegration testing
Omay, Tolga; Iren, Perihan - In: Computational economics 61 (2023) 1, pp. 233-265
Persistent link: https://www.econbiz.de/10014228424
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Improving quantile forecasts via realized double hysteretic GARCH model in stock markets
Chen, Cathy W. S.; Chien, Cindy T. H. - In: Computational economics 64 (2024) 6, pp. 3447-3471
Persistent link: https://www.econbiz.de/10015144246
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Bayesian analysis of power-transformed and threshold GARCH models : a Griddy-Gibbs sampler approach
Xia, Qiang; Wong, Heung; Liu, Jinshan; Liang, Rubing - In: Computational economics 50 (2017) 3, pp. 353-372
Persistent link: https://www.econbiz.de/10011783316
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Bayesian inference for mixed Gaussian GARCH-type model by Hamiltonian Monte Carlo algorithm
Liang, Rubing; Qin, Binbin; Xia, Qiang - In: Computational economics 63 (2024) 1, pp. 193-220
Persistent link: https://www.econbiz.de/10014472071