The response of the benchmark healthcare index of India to COVID-19 pandemic: a return volatility approach.

IF 1 Q4 HEALTH POLICY & SERVICES
Peeyush Bangur
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引用次数: 0

Abstract

Purpose: From poor healthcare infrastructure to vaccine donors, India has traveled a long way. In this study, the author tried to find the investment certainty and persistence of volatility in the Indian healthcare system due to COVID-19.

Design/methodology/approach: Using the Generalized Autoregressive Conditional Heteroskedasticity (GARCH 1,1) model, this study quantifies the change in the conditional variance after the first case report of COVID-19. The author has used the S&P BSE HEALTHCARE index time series to analyze India's healthcare infrastructure and practices.

Findings: The author found evidence of a decrease in investment certainty in investments related to India's healthcare infrastructure and practices after the first case report of COVID-19. Furthermore, the estimation of the econometric model suggests the presence of a large degree of volatility persistence in the S&P BSE HEALTHCARE index.

Originality/value: This research would be the first of its kind where the return volatility of the Indian healthcare sector has been discussed. Also, this research quantifies the return volatility of the healthcare sector during the pre- and post-COVID-19 period.

印度基准医疗保健指数对 COVID-19 大流行病的反应:收益波动方法。
目的:从落后的医疗基础设施到疫苗捐赠国,印度走过了漫长的道路。在本研究中,作者试图找出 COVID-19 导致的印度医疗保健系统的投资确定性和持续波动性:本研究使用广义自回归条件异方差(GARCH 1,1)模型,量化 COVID-19 首例报告后条件方差的变化。作者使用标准普尔 BSE HEALTHCARE 指数时间序列来分析印度的医疗保健基础设施和实践:作者发现有证据表明,在 COVID-19 首份案例报告发布后,与印度医疗保健基础设施和实践相关的投资确定性有所下降。此外,计量经济学模型的估计结果表明,标准普尔 BSE HEALTHCARE 指数存在很大程度的波动持续性:本研究首次对印度医疗保健行业的回报波动性进行了讨论。此外,本研究还量化了医疗保健行业在《COVID-19》前后的回报波动性。
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
CiteScore
4.00
自引率
6.70%
发文量
6
期刊介绍: ■Successful quality/continuous improvement projects ■The use of quality tools and models in leadership management development such as the EFQM Excellence Model, Balanced Scorecard, Quality Standards, Managed Care ■Issues relating to process control such as Six Sigma, Leadership, Managing Change and Process Mapping ■Improving patient care through quality related programmes and/or research Articles that use quantitative and qualitative methods are encouraged.
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