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Augmented factor models with applications to validating market risk factors and forecasting bond risk premia
Fan, Jianqing; Ke, Yuan; Liao, Yuan - In: Journal of econometrics 222 (2021) 1,2, pp. 269-294
Persistent link: https://www.econbiz.de/10012619418
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Real-time Bayesian learning and bond return predictability
Wan, Runqing; Fulop, Andras; Li, Junye - In: Journal of econometrics 230 (2022) 1, pp. 114-130
Persistent link: https://www.econbiz.de/10013441922
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Small-sample tests for stock return predictability with possibly non-stationary regressors and GARCH-type effects
Gungor, Sermin; Luger, Richard - In: Journal of econometrics 218 (2020) 2, pp. 750-770
Persistent link: https://www.econbiz.de/10012483180
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A reexamination of stock return predictability
Choi, Yongok; Jacewitz, Stefan; Park, Joon Y. - In: Journal of econometrics 192 (2016) 1, pp. 168-189
Persistent link: https://www.econbiz.de/10011617132
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Testing for episodic predictability in stock returns
Demetrescu, Matei; Georgiev, Iliyan; Rodrigues, Paulo M. M. - In: Journal of econometrics 227 (2022) 1, pp. 85-113
Persistent link: https://www.econbiz.de/10013441625
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Penetrating sporadic return predictability
Tu, Yundong; Xie, Xinling - In: Journal of econometrics 237 (2023) 1, pp. 1-27
Persistent link: https://www.econbiz.de/10014471472
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Volatility measurement with pockets of extreme return persistence
Andersen, Torben; Li, Yingying; Todorov, Viktor; Zhou, Bo - In: Journal of econometrics 237 (2023) 2,3, pp. 1-27
Persistent link: https://www.econbiz.de/10014471793
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A penalized two-pass regression to predict stock returns with time-varying risk premia
Bakalli, Gaetan; Guerrier, Stéphane; Scaillet, Olivier - In: Journal of econometrics 237 (2023) 2,3, pp. 1-27
Persistent link: https://www.econbiz.de/10014471822
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Introduction to m-m processes
Granger, C. W. J.; Hyung, Namwon - In: Journal of econometrics 130 (2006) 1, pp. 143-164
Persistent link: https://www.econbiz.de/10003228633
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Adaptive dynamic Nelson–Siegel term structure model with applications
Chen, Ying; Niu, Linlin - In: Journal of econometrics 180 (2014) 1, pp. 98-115
Persistent link: https://www.econbiz.de/10010379478