美国和印度新时代科技(工业4.0)行业指数与传统行业指数的相关性和波动性动态

Mutual Funds Pub Date : 2021-04-19 DOI:10.2139/ssrn.3831131
Anand Shah, Anupam Bahri
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引用次数: 2

摘要

我们使用ADCC/DCC - GARCH模型研究了美国(纳斯达克行业指数)和印度(Nifty行业指数)的新时代技术(工业4.0)行业和传统行业的时变相关性和波动行为。此外,还评估了次贷引发的全球金融危机和新冠肺炎疫情引发的全球封锁危机对波动性和相关性的影响。风险度量- VaR和预期不足也使用极值理论计算。所有行业指数均表现出不对称波动行为。在纳斯达克行业组指数中,只有纳斯达克计算机指数在两次危机中没有显示出显著的波动性增加。在全球封城危机期间,自动驾驶汽车、清洁技术、网络安全、3D打印、智能建筑和虚拟现实指数的波动性没有明显上升。除了纳斯达克银行(NASDAQ Bank)以外,所有传统行业指数在相关性方面都表现出不对称行为,但机器人技术(Robotics)、3D打印、清洁能源(Clean Energy)和虚拟现实(Virtual Reality)等工业4.0指数并非如此。在印度,只有漂亮的IT和漂亮的快速消费品指数在全球封锁危机期间没有表现出显著的波动性增加。在危机期间,所有行业指数的相关性普遍增强。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamics of Correlation and Volatility in New Age Technology (Industry 4.0) Sectoral Indices and Traditional Sectoral Indices in US and India
We investigated the time-varying correlation and volatility behaviour of the New Age Technology (Industry 4.0) sectors and, traditional sectors in US (NASDAQ sectoral indices) and India (Nifty sectoral indices) using ADCC/DCC – GARCH models. The impact of Global Financial Crisis due to sub-prime mortgages and Global Lockdown Crisis due to COVID -19 pandemic on volatility and correlation was also assessed. Risk measures – VaR and Expected Shortfall were also calculated using Extreme Value Theory.

All the sectoral indices exhibited asymmetric volatility behaviour. Among the indices in the NASDAQ sectoral group, only NASDAQ Computer index did not show significant increase in volatility over both the crises. Autonomous Vehicles, Clean Technology, Cybersecurity, 3D Printing, Smart Buildings and Virtual Reality indices did not show a significant increase in volatility during Global Lockdown Crisis. While all the traditional sectoral indices except NASDAQ Bank showed asymmetric behaviour in correlation, Industry 4.0 indices such as Robotics, 3D printing, Clean Energy and Virtual Reality did not. In India, only Nifty IT and Nifty FMCG indices did not exhibit significant increase in volatility during the Global Lockdown Crisis. Correlation generally increased for all the sectoral indices during the crises.
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