Application of Vector Autoregression and Synthetic Control Methods to the Chinese Exchange Traded Funds Market

Chen, Binwei (2022) Application of Vector Autoregression and Synthetic Control Methods to the Chinese Exchange Traded Funds Market. Doctoral thesis, University of East Anglia.

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Abstract

This thesis presents three empirical studies on the burgeoning Chinese ETFs market. The first study shows that the frequently used reverse repurchase agreement (repo)by the Chinese central bank from January 2016 to December 2018 has an insignificant impact on ETFs mispricing level on average. The subsequent two studies apply the synthetic control method and compare results with the Difference-in-Differences method (DiD). The second research shows that ETFs with margin trading and short selling qualification improve trading volume significantly. The final study finds that the ETFs options introductions positively influence the liquidity and efficiency of treated ETFs.

Item Type:	Thesis (Doctoral)
Faculty \ School:	Faculty of Social Sciences > School of Economics
Depositing User:	Kitty Laine
Date Deposited:	28 Nov 2022 16:12
Last Modified:	28 Nov 2022 16:12
URI:	https://ueaeprints.uea.ac.uk/id/eprint/89966
DOI:

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