Dynamic relationship of volatility of returns across different markets: evidence from selected next 11 countries

Sadia Shafiq, Saiqa Saddiqa Qureshi, M. Akbar
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引用次数: 1

Abstract

PurposeThis paper aims to examine whether the volatility of returns in commodity (gold, oil), bond and forex markets is related over time to the volatility of returns in equity markets of Bangladesh, Indonesia, Pakistan, Philippines, Turkey and Vietnam. In addition, the authors analyze the integration of the commodity, bond, forex and equity markets across these markets.Design/methodology/approachThe dynamic conditional correlation GARCH (DCC-GARCH) model is used to capture the time-varying conditional correlation among markets. The authors use daily data of stock prices, oil prices, gold prices, exchange rates and 10 years' bond yields of the six countries from Datastream and investing.com from January 2001 to April 2021.FindingsFindings reveal that the parameters of dynamic correlation are statistically significant which indicates the importance of time-varying co-movements. Estimation of the DCC-GARCH model suggests that the stock market is significantly correlated with bond, forex, gold and oil markets in all six countries.Practical implicationsThis study has practical implications for policymakers and investment professionals. A better understanding of dynamic linkages among the markets would help in constructing effective hedging and portfolio diversification strategies. Policy makers can get insight to build proper strategies in order to insulate the economy from factors that cause volatility.Originality/valueSeveral studies have investigated the linkage between commodity and stock markets and the volatility spillover effect, but very little attention is given to study the interrelationship between groups of market segments of different economies. No study has comparatively examined the dynamic relationship of multiple markets of a group of emerging countries simultaneously.
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不同市场间收益波动的动态关系:来自11个国家的证据
本文旨在研究商品(黄金、石油)、债券和外汇市场的回报波动是否与孟加拉国、印度尼西亚、巴基斯坦、菲律宾、土耳其和越南股票市场的回报波动有关。此外,作者还分析了这些市场中商品、债券、外汇和股票市场的整合情况。设计/方法/方法采用动态条件相关GARCH (DCC-GARCH)模型来捕捉市场间时变的条件相关性。作者使用了Datastream和investing.com从2001年1月到2021年4月的6个国家的股票价格、油价、黄金价格、汇率和10年期债券收益率的日常数据。研究结果表明,动态相关参数具有显著的统计学意义,表明时变协同运动的重要性。对DCC-GARCH模型的估计表明,在所有六个国家,股票市场与债券、外汇、黄金和石油市场显著相关。本研究对政策制定者和投资专业人士具有实际意义。更好地了解市场之间的动态联系将有助于构建有效的对冲和投资组合多样化策略。政策制定者可以获得洞察力,制定适当的战略,使经济免受导致波动的因素的影响。一些研究调查了商品和股票市场之间的联系以及波动溢出效应,但很少注意研究不同经济体的细分市场群体之间的相互关系。目前还没有比较研究同时考察一组新兴国家多个市场的动态关系。
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来源期刊
CiteScore
1.80
自引率
5.60%
发文量
83
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