Abstract

Through the construction of wavelet coherence analysis and frequency-domain spillover framework, this paper makes a comparative study of the volatility spillover effects of international economic policy uncertainty (EPU) on China’s Shanghai and Hong Kong stock market from a time-frequency perspective. To fully reflect the international EPU, this paper selects China, the United States, Australia, and the United Kingdom and uses the monthly EPU index of these countries and regions. China chooses China’s EPU index and Hong Kong’s EPU index. At the same time, the 5-minute high-frequency volatility of the Shanghai Composite Index (SSEC) and the Hang Seng Index (HSI) is selected to represent the Shanghai and Hong Kong’s stock market, respectively. It is found that there are obvious differences between the EPU and the dependence of the stock market in time domain and frequency domain, and the lead-lag relationship between them has time-varying characteristics. Static and dynamic spillover effects play a dominant role in the analysis of medium- and long-term spillover effects. In particular, the EPU and the risk spillover of the Hong Kong stock market are stronger than those of the Shanghai stock market, and the dynamic frequency-domain net risk spillover between them has frequency characteristics, and there are two-way and asymmetric risk spillovers. This provides a certain reference for policy makers to improve the safety management of financial markets and for market investors to optimize their portfolios.

Highlights

  • Second is the innovation in the selection of research objects. is paper uses the economic policy uncertainty (EPU) index compiled by Baker to quantify the economic uncertainty index, and the stock market selects the Shanghai Composite Index and Hang Seng Index of fiveminute high-frequency data to comprehensively investigate the time-frequency spillover effects of EPU on the stock market. ird is the innovation of research model method

  • The principles and steps of each method are mainly introduced, in which wavelet coherence analysis can better deal with nonstationary time series and analyze the relationship between them in different time ranges, which is more in line with the data requirements of this paper. e lead-lag relationship between different research objects can be determined by using the spectrum diagram of wavelet coherence analysis, which provides the feasibility for the study of spillover index

  • The 5-minute high-frequency realized volatility of the SSEC and Hang Seng Index (HSI) is selected to represent the Shanghai and Hong Kong stock market, respectively. e data sample spans from January 2000 to February 2021, excluding a total of 254 missing values. is paper uses the monthly EPU index compiled by Baker et al [1], derived from https://www.policyuncertainty.com, and 5-minute high-frequency data are from https://www.realized.Oxfordman.ox.ac.uk/

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Summary

Introduction

Erefore, the state is more inclined to intervene and regulate domestic “too big to fail” financial institutions directly Under this background, this paper uses wavelet coherence and the BK spillover index model to explore the volatility spillover effects of the stock market in the past 20 years from the perspectives of time domain and frequency domain, so as to provide a scientific and reasonable basis for dealing with the future international policy uncertainty. E main purpose of this paper: first, to use wavelet coherence to analyze the volatility spillover effects of EPU of various countries on China’s Shanghai and Hong Kong stock market from January 2000 to February 2021 from the perspective of the time domain and frequency domain. E main contribution of this paper is to compare and analyze the volatility spillover effects of international EPU on Shanghai and Hong Kong stock market from the perspective of time domain and frequency domain. We study and analyze the spillover degree of EPU on the stock market to improve the research and analysis. ere is little literature in this area, so this paper expands the relevant literature

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