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1
Identification and
estimation
of a large factor model with structural instability
Baltagi, Badi H.
;
Kao, Chihwa
;
Wang, Fa
-
2016
Persistent link: https://www.econbiz.de/10011687505
Saved in:
2
Identification and
estimation
of a large factor model with structural instability
Baltagi, Badi H.
;
Kao, Chihwa
;
Wang, Fa
- In:
Journal of econometrics
197
(
2017
)
1
,
pp. 87-100
Persistent link: https://www.econbiz.de/10011818347
Saved in:
3
Factor-augmented regressions and their applications to financial markets : a selective review
Zhang, Yonghui
- In:
Financial econometrics : theory and applications
,
(pp. 60-94)
.
2025
Persistent link: https://www.econbiz.de/10015426485
Saved in:
4
Panel
estimation
for worriers
Banerjee, Anindya
;
Eberhardt, Markus
;
Reade, J. James
-
2010
Persistent link: https://www.econbiz.de/10009374189
Saved in:
5
Dynamic modeling of high-dimensional correlation matrices in finance
Golosnoy, Vasyl
;
Herwartz, Helmut
- In:
International journal of theoretical and applied finance
15
(
2012
)
5
,
pp. 1-22
Persistent link: https://www.econbiz.de/10009672608
Saved in:
6
A predictive approach for selection of diffusion index models
Ando, Tomohiro
;
Tsay, Ruey S.
- In:
Econometric reviews
33
(
2014
)
1/4
,
pp. 68-99
Persistent link: https://www.econbiz.de/10010358477
Saved in:
7
Exponent of cross-sectional dependence for residuals
Bailey, Natalia
;
Kapetanios, George
;
Pesaran, M. Hashem
-
2018
In this paper we focus on estimating the degree of cross-sectional dependence in the error terms of a classical
panel
…
Persistent link: https://www.econbiz.de/10011900761
Saved in:
8
Estimating and Forecasting Large Panels of Volatilities with Approximate Dynamic Factor Models
Veredas, David
-
2013
from the curse of dimensionality. We apply the model to a
panel
of 90 daily realized volatilities pertaining to S&P100 from …
Persistent link: https://www.econbiz.de/10013092430
Saved in:
9
Maximum Likelihood
Estimation
and Inference for High Dimensional Nonlinear Factor Models with Application to Factor-Augmented Regressions
Wang, Fa
-
2020
This paper reestablishes the main results in Bai (2003) and Bai and Ng (2006) for high dimensional nonlinear factor models, with slightly stronger conditions on the relative magnitude of N(number of subjects) and T(number of time periods). Factors and loadings are estimated by maximum...
Persistent link: https://www.econbiz.de/10012849457
Saved in:
10
Exponent of cross-sectional dependence for residuals
Bailey, Natalia
;
Kapetanios, George
;
Pesaran, M. Hashem
-
2018
Persistent link: https://www.econbiz.de/10012583496
Saved in:
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