{"title":"The response of the benchmark healthcare index of India to COVID-19 pandemic: a return volatility approach.","authors":"Peeyush Bangur","doi":"10.1108/IJHCQA-01-2023-0005","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>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.</p><p><strong>Design/methodology/approach: </strong>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.</p><p><strong>Findings: </strong>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.</p><p><strong>Originality/value: </strong>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.</p>","PeriodicalId":47455,"journal":{"name":"INTERNATIONAL JOURNAL OF HEALTH CARE QUALITY ASSURANCE","volume":" ","pages":""},"PeriodicalIF":1.0000,"publicationDate":"2024-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"INTERNATIONAL JOURNAL OF HEALTH CARE QUALITY ASSURANCE","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/IJHCQA-01-2023-0005","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"HEALTH POLICY & SERVICES","Score":null,"Total":0}
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.
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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