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信息冲击、市场回报与波动性:亚洲发达股票市场的比较分析

Information shocks, market returns and volatility: a comparative analysis of developed equity markets in Asia.

作者信息

Zada Hassan, Maqsood Huma, Ahmed Shakeel, Khan Muhammad Zeb

机构信息

Department of Management Sciences, SZABIST, Islamabad, Pakistan.

Department of Social Sciences, SZABIST, Islamabad, Pakistan.

出版信息

SN Bus Econ. 2023;3(1):37. doi: 10.1007/s43546-022-00417-w. Epub 2023 Jan 9.

DOI:10.1007/s43546-022-00417-w
PMID:36684690
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9838341/
Abstract

This research explores the function of information shocks in equity returns and integrated volatility of emerging Asian markets using Swap Variance (SwV) approach on the period of 20 years (Feb 2001-Feb 2020). It compares average monthly returns and volatility of shock periods with non-shock periods after separating negative and positive shocks. Findings reveal frequent occurrence of information shocks in all Asian developed equity markets with positive shocks than that of negative shocks. Moreover, highly volatile Asian developed markets earn higher returns during shocks periods, while markets with higher volatility and lower continuous returns are adversely affected during shocks periods. The ratio of total realized volatility and the average ratio of shocks volatility establish that shocks account for a considerable amount of volatility, and integrated volatility is higher during negative shocks phases. The study has implications for all stakeholders of financial markets for rational investment decisions.

摘要

本研究采用互换方差(SwV)方法,对20年期间(2001年2月至2020年2月)新兴亚洲市场的股票回报和综合波动率中的信息冲击功能进行了探索。在区分正负冲击后,将冲击期与非冲击期的平均月回报率和波动率进行了比较。研究结果显示,在所有亚洲发达股票市场中,信息冲击频繁发生,且正冲击比负冲击更为常见。此外,高波动率的亚洲发达市场在冲击期获得更高的回报,而波动率较高且连续回报率较低的市场在冲击期受到不利影响。总实现波动率与冲击波动率平均比率表明,冲击占相当大比例的波动率,且在负冲击阶段综合波动率更高。该研究对金融市场的所有利益相关者做出理性投资决策具有启示意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d90f/9838341/d46892530a58/43546_2022_417_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d90f/9838341/324a44a7f97f/43546_2022_417_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d90f/9838341/eb5645bd3f63/43546_2022_417_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d90f/9838341/3c74904d23a1/43546_2022_417_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d90f/9838341/c26804813ffa/43546_2022_417_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d90f/9838341/d46892530a58/43546_2022_417_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d90f/9838341/324a44a7f97f/43546_2022_417_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d90f/9838341/eb5645bd3f63/43546_2022_417_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d90f/9838341/3c74904d23a1/43546_2022_417_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d90f/9838341/c26804813ffa/43546_2022_417_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d90f/9838341/d46892530a58/43546_2022_417_Fig5_HTML.jpg

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本文引用的文献

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Forecasting volatility in Asian financial markets: evidence from recursive and rolling window methods.预测亚洲金融市场的波动性:来自递归和滚动窗口方法的证据。
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2
Testing volatility and relationship among BRICS stock market returns.测试金砖国家股票市场回报的波动性及相互关系。
SN Bus Econ. 2022;2(8):111. doi: 10.1007/s43546-022-00267-6. Epub 2022 Jul 28.