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Does Free Trade Agreement Influence the Volatility Spillover between Stock Markets of China and Australia: A Wavelet Multiresolution GARCH-BEKK Approach

Published: 13 August 2021 Publication History

Abstract

After prolonged negotiations, China and Australia eventually signed a free trade agreement (FTA) on June 17th, 2015. The agreement was put into effect on December 20th, 2015. Not only does the FTA create more opportunities for economic and trade cooperation between China and Australia, but also it contributes to the development of financial interaction between the two countries. This paper investigates the interactive mechanism of the stock market between China and Australia by comparing volatility spillover effects before and after the signing of the FTA. This pa per utilizes data from the Shanghai-Shenzhen 300 index and Australia S&P 300 index between August 1st, 2013 and March 31st, 2018. A GARCH-BEKK model is constructed to detect the transmission direction before and after the FTA, respectively. Afterwards, a time series of two stock market indices are processed by wavelet multiresolution to detect the long-term, medium-term, and short-term effect, respectively. Empirical results find that the signing of the FTA has increased the level of market correlation between China and Australia. Government policy can effectively influence stock markets through international trade and promote the economic development of both parties.

References

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[2]
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A. Valadkhani and G. Chen, "An empirical analysis of the US stock market and output growth volatility spillover effects on three Anglo-Saxon countries, " International Review of Applied Economics, vol.28, pp. 323--335, March 2014.
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Y. Li and D. E. Giles, "Modelling volatility spillover effects between developed stock markets and Asian emerging stock markets, " International Journal of Finance & Economics, vol. 20, pp. 155--177, February 2015.
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  1. Does Free Trade Agreement Influence the Volatility Spillover between Stock Markets of China and Australia: A Wavelet Multiresolution GARCH-BEKK Approach

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        ICCIR '21: Proceedings of the 2021 1st International Conference on Control and Intelligent Robotics
        June 2021
        807 pages
        ISBN:9781450390231
        DOI:10.1145/3473714
        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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        • Chongqing Univ.: Chongqing University

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        Published: 13 August 2021

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        Author Tags

        1. Australia
        2. China
        3. FTA
        4. Stock Market
        5. Volatility Spillover Effect

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        ICCIR 2021

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        ICCIR '21 Paper Acceptance Rate 131 of 239 submissions, 55%;
        Overall Acceptance Rate 131 of 239 submissions, 55%

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