This paper investigates the capital market reaction to the first detection of the COVID-19 in Bangladesh. Using a sample of 314 listed firms in Dhaka stock Exchange (DSE), this study employed the event study methodology (ESM) to find any abnormal return (AR) associated to the first COVID-19 detection announcement. Three different return models namely mean-adjusted return, market-adjusted return and market model have been used to calculate the abnormal return and test the statistical significance using both parametric crude dependence and standardised cross-sectional T-test along with non-parametric generalised sign-test and Corrado rank-test. The findings suggest that, despite the perceived weak market efficiency, the announcement of the first COVID-19 detection has a significant negative impact on overall market return on the event day. Additionally, the result exhibits the indifferent market reaction of different industry segments such as manufacturing, service, financial, non-financial, pharmaceuticals and IT and telecommunication sectors. The results would be useful for investors, industrial and financial analysts in accessing volatile systemic risk and building an optimal portfolio to solve the pandemic dilemma effectively.
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Univ South Africa, Fac Econ & Financial Sci, Dept Finance Risk Management & Banking, Pretoria, South AfricaUniv South Africa, Fac Econ & Financial Sci, Dept Finance Risk Management & Banking, Pretoria, South Africa
Marozva, Godfrey
Magwedere, Margaret Rutendo
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Univ South Africa, Fac Econ & Financial Sci, Dept Finance Risk Management & Banking, Pretoria, South AfricaUniv South Africa, Fac Econ & Financial Sci, Dept Finance Risk Management & Banking, Pretoria, South Africa
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1 Decembrie 1918 Univ Alba Iulia, Dept Finance Accounting, Alba Iulia 510009, Romania
1 Decembrie 1918 Univ Alba Iulia, Gabriel Bethlen Str 5, Alba Iulia 510009, Romania1 Decembrie 1918 Univ Alba Iulia, Dept Finance Accounting, Alba Iulia 510009, Romania
Iuga, Iulia Cristina
Mudakkar, Syeda Rabab
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Lahore Sch Econ, Ctr Math & Stat Sci, Lahore, Pakistan1 Decembrie 1918 Univ Alba Iulia, Dept Finance Accounting, Alba Iulia 510009, Romania
Mudakkar, Syeda Rabab
Dragolea, Larisa Loredana
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1 Decembrie 1918 Univ Alba Iulia, Dept Business Adm, Alba Iulia 510009, Romania1 Decembrie 1918 Univ Alba Iulia, Dept Finance Accounting, Alba Iulia 510009, Romania
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Inst Politecn Lisboa, ISCAL Lisbon Accounting & Business Sch, Av Miguel Bombarda 20, P-1069035 Lisbon, Portugal
SOCIUS CSG Res Social Sci & Management, Rua Miguel Lupi 20, P-1249078 Lisbon, PortugalInst Politecn Lisboa, ISCAL Lisbon Accounting & Business Sch, Av Miguel Bombarda 20, P-1069035 Lisbon, Portugal
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BGMEA Univ Fash & Technol BUFT, Fac Business Studies, Dept Business Adm, Dhaka, Bangladesh
BGMEA Univ Fash & Technol BUFT, Fac Business Studies, Dept Business Adm, Dhaka, BangladeshBGMEA Univ Fash & Technol BUFT, Fac Business Studies, Dept Business Adm, Dhaka, Bangladesh
Adnan, A. T. M.
Al Johani, Sameer
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Taibah Univ, Coll Business Adm, Dept Accountancy, Medina, Saudi ArabiaBGMEA Univ Fash & Technol BUFT, Fac Business Studies, Dept Business Adm, Dhaka, Bangladesh