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Bibliographic Details
Main Authors: Linton, Oliver B., Tang, Haihan, Wu, Jianbin
Format: Preprint
Published: 2022
Subjects:
Online Access:https://arxiv.org/abs/2202.03638
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author Linton, Oliver B.
Tang, Haihan
Wu, Jianbin
author_facet Linton, Oliver B.
Tang, Haihan
Wu, Jianbin
contents We propose a confirmatory dynamic factor model for a large number of stocks whose returns are observed daily across multiple time zones. The model has a global factor and a continental factor that both drive the individual stock return series. We propose two estimators of the model: a quasi-maximum likelihood estimator (QML-just-identified), and an improved estimator based on an Expectation Maximization (EM) algorithm (QML-all-res). Our estimators are consistent and asymptotically normal under the large approximate factor model setting. In particular, the asymptotic distributions of QML-all-res are the same as those of the infeasible OLS estimators that treat factors as known and utilize all the restrictions on the parameters of the model. We apply the model to MSCI equity indices of 42 developed and emerging markets, and find that most markets are more integrated when the CBOE Volatility Index (VIX) is high.
format Preprint
id arxiv_https___arxiv_org_abs_2202_03638
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle A Large Confirmatory Dynamic Factor Model for Stock Market Returns in Different Time Zones
Linton, Oliver B.
Tang, Haihan
Wu, Jianbin
Statistics Theory
We propose a confirmatory dynamic factor model for a large number of stocks whose returns are observed daily across multiple time zones. The model has a global factor and a continental factor that both drive the individual stock return series. We propose two estimators of the model: a quasi-maximum likelihood estimator (QML-just-identified), and an improved estimator based on an Expectation Maximization (EM) algorithm (QML-all-res). Our estimators are consistent and asymptotically normal under the large approximate factor model setting. In particular, the asymptotic distributions of QML-all-res are the same as those of the infeasible OLS estimators that treat factors as known and utilize all the restrictions on the parameters of the model. We apply the model to MSCI equity indices of 42 developed and emerging markets, and find that most markets are more integrated when the CBOE Volatility Index (VIX) is high.
title A Large Confirmatory Dynamic Factor Model for Stock Market Returns in Different Time Zones
topic Statistics Theory
url https://arxiv.org/abs/2202.03638