Time-Varying General Dynamic Factor Models and the Measurement of Financial Connectedness

Barigozzi, Matteo and Hallin, Marc and Soccorsi, Stefano and von Sachs, Rainer (2020) Time-Varying General Dynamic Factor Models and the Measurement of Financial Connectedness. Journal of Econometrics. ISSN 0304-4076

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Abstract

We propose a new time-varying Generalized Dynamic Factor Model for high-dimensional, locally stationary time series. Estimation is based on dynamic principal component analysis jointly with singular VAR estimation, and extends to the locally stationary case the one-sided estimation method proposed by Forni et al. (2017) for stationary data. We prove consistency of our estimators of time-varying impulse response functions as both the sample size and the dimension of the time series grow to infinity. This approach is used in an empirical application in order to construct a time-varying measure of financial connectedness for a large panel of adjusted intra-day log ranges of stocks. We show that large increases in long-run connectedness are associated with the main financial turmoils. Moreover, we provide evidence of a significant heterogeneity in the dynamic responses to common shocks in time and over different scales, as well as across industrial sectors.

Item Type:
Journal Article
Journal or Publication Title:
Journal of Econometrics
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2600/2604
Subjects:
ID Code:
143513
Deposited By:
Deposited On:
27 Apr 2020 09:20
Refereed?:
Yes
Published?:
Published
Last Modified:
22 Sep 2020 04:59