Return and volatility connectedness and net directional patterns in spillover transmissions: East and Southeast Asian equity markets

IF 1.8 4区 经济学 Q2 BUSINESS, FINANCE
Cesario Mateus, Miramir Bagirov, Irina Mateus
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Abstract

In this article, we investigate the pattern and dynamics of return and volatility connectedness across East and Southeast Asian markets (referred to as the ASEAN5 + 5 group) by utilizing forecast-error variance decompositions in a generalized VAR framework in conjunction with the Bai-Perron procedure to control for structural breaks. Our analysis of the dynamics of return spillovers in static and time-varying settings identifies that the stock markets of Singapore, Hong Kong and South Korea act as constant and largest net transmitters of shocks throughout the period from January 2003 to July 2021. The Chinese stock market is found to have the lowest return connectedness with other regional markets, which could be due to the local foreign ownership regulations. Visualization of the net pairwise return spillover network shows that Singapore is the sole net transmitter of shocks to all other markets in the ASEAN5 + 5 group, whereas, China, despite its market size is the sole net recipient. Two other markets in the regional group are identified as the net receivers, Japan and the Philippines, with the former becoming a net recipient from 2007. Our analysis of structural breaks shows that return spillovers across the markets intensify during periods of economic turmoil, financial shocks and the health crisis (COVID-19), however, return to the pre-shock levels during stable market periods. Further analysis of time-varying patterns revealed that the dynamic connectedness across the region is not symmetrical and the influence of negative returns is more pronounced. The investigation of volatility spillovers shows no substantial differences. The stock markets generally retain their roles. Importantly, the time-varying volatility connectedness exhibits similar patterns and tends to reach peak levels during turbulent episodes.

Abstract Image

回报率和波动率的关联性以及溢出效应传递的净方向性模式:东亚和东南亚股票市场
在本文中,我们利用广义 VAR 框架中的预测误差方差分解,结合 Bai-Perron 程序来控制结构断裂,从而研究了东亚和东南亚市场(简称为东盟 5+5 组)的回报率和波动率关联的模式和动态。我们对静态和时变背景下的回报溢出动态进行了分析,发现新加坡、香港和韩国股市在 2003 年 1 月至 2021 年 7 月期间一直是冲击的最大净传播者。中国股市与其他地区市场的收益关联度最低,这可能是由于当地的外资所有权法规所致。净回报成对溢出网络的可视化显示,新加坡是东盟 5+5 组中所有其他市场冲击的唯一净传播者,而中国尽管市场规模庞大,却是唯一的净接受者。该地区还有两个市场被认定为净接受者,即日本和菲律宾,前者从 2007 年开始成为净接受者。我们对结构性中断的分析表明,在经济动荡、金融冲击和健康危机(COVID-19)期间,各市场的回报溢出效应会增强,但在市场稳定期间,回报溢出效应会恢复到冲击前的水平。对时变模式的进一步分析表明,区域间的动态关联性并不对称,负收益的影响更为明显。对波动溢出效应的调查显示没有实质性差异。股票市场总体上保留了自己的角色。重要的是,随时间变化的波动连通性表现出相似的模式,并往往在动荡时期达到峰值水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Review of Finance
International Review of Finance BUSINESS, FINANCE-
CiteScore
3.30
自引率
5.90%
发文量
28
期刊介绍: The International Review of Finance (IRF) publishes high-quality research on all aspects of financial economics, including traditional areas such as asset pricing, corporate finance, market microstructure, financial intermediation and regulation, financial econometrics, financial engineering and risk management, as well as new areas such as markets and institutions of emerging market economies, especially those in the Asia-Pacific region. In addition, the Letters Section in IRF is a premium outlet of letter-length research in all fields of finance. The length of the articles in the Letters Section is limited to a maximum of eight journal pages.
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