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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/8919
Title: Sectoral Nonlinear Causality Between Stock Market Volatility and the COVID-19 Pandemic: Evidence From India
Authors: Bal, Debi Prasad
Keywords: Economics and Finance
COVID-19
Stock Market Development
Issue Date: 2021
Publisher: Asian Economics Letters
Abstract: This paper examines the linear and nonlinear relationship between daily confirmed COVID-19 cases and sectoral stock market volatility in India. The linear Granger causality test reveals bidirectional causality. Further, we observe that bidirectional nonlinear Granger causality exists between stock market volatility and COVID-19. This implies that the historical and lagged information can have a significant role in predicting COVID-19 cases and the stock market.
URI: https://doi.org/10.46557/001c.21380
http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/8919
Appears in Collections:Department of Economics and Finance

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