CRITICAL PERSPECTIVES ON RISK AND UNCERTAINTY: FOUNDATIONS OF DECISION THEORY

This study delves into the unprecedented disruption caused by the COVID-19 pandemic in financial markets, specifically exploring the impact on the Dhaka Stock Exchange (DSE) in Bangladesh. The pandemic, originating from the novel coronavirus, instigated global turmoil, redefining the dynamics of financial landscapes. The outbreak's rapid progression led to an urgent need for comprehensive investigation into the alterations it wrought upon stock markets. The concept of disease extends beyond physical injury, encompassing structural and functional disorders within biological organisms. An affliction assumes pandemic proportions when it engulfs extensive regions and populations. Conversely, an epidemic pertains to widespread regional impact. This research capitalizes on these epidemiological distinctions to scrutinize the ramifications of the COVID-19 pandemic on the DSE, a vital financial institution. Triggered by the World Health Organization's declaration of the coronavirus outbreak as a pandemic on March 11, 2020, global markets witnessed unprecedented shocks. A profound disruption occurred on March 12, 2020, with the Dow plummeting by 9.99%, an unprecedented decline comparable only to the 1929 Black Monday crash. This marked the beginning of a sustained period of market volatility that reverberated across economies. Against this backdrop, governments resorted to drastic measures including lockdowns, travel restrictions, and business closures to mitigate the virus's impact. By meticulously analyzing the DSE's response to the pandemic, this study addresses pivotal questions surrounding the shift in risk-return profiles of individual stocks and sectors during the pandemic and lockdown period. Notably, the DSE distinguished itself by opting for a comprehensive shutdown from March 26 to May 30, 2020, to stave off collapse. This decision introduced an intriguing scenario for assessing market behavior and risk-return dynamics. While financial support packages were deployed to curb economic deterioration, the DSE's hiatus signaled a rare policy deviation. Amidst the scarcity of empirical research on frontier markets and their response to COVID-19, this paper contributes vital insights. It chronicles the evolution of market returns, comparing pre-lockdown and post-reopening periods. By synthesizing a diverse range of data sources, the study unveils distinctive patterns that underscore the pandemic's transformational impact on financial markets. Moreover, the paper reviews pertinent literature, explicates the methodology employed, presents key findings, and culminates with conclusive remarks on the pandemic's far-reaching influence on financial ecosystems

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-20
DOI
https://doi.org/10.5281/zenodo.15470886
Primary Topic
Statistical Methods and Applications
Type
article
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article

CRITICAL PERSPECTIVES ON RISK AND UNCERTAINTY: FOUNDATIONS OF DECISION THEORY

Zenodo (CERN European Organization for Nuclear Research)
Statistical Methods and Applications
article

CRITICAL PERSPECTIVES ON RISK AND UNCERTAINTY: FOUNDATIONS OF DECISION THEORY

article en

Abstract

This study delves into the unprecedented disruption caused by the COVID-19 pandemic in financial markets, specifically exploring the impact on the Dhaka Stock Exchange (DSE) in Bangladesh. The pandemic, originating from the novel coronavirus, instigated global turmoil, redefining the dynamics of financial landscapes. The outbreak's rapid progression led to an urgent need for comprehensive investigation into the alterations it wrought upon stock markets. The concept of disease extends beyond physical injury, encompassing structural and functional disorders within biological organisms. An affliction assumes pandemic proportions when it engulfs extensive regions and populations. Conversely, an epidemic pertains to widespread regional impact. This research capitalizes on these epidemiological distinctions to scrutinize the ramifications of the COVID-19 pandemic on the DSE, a vital financial institution. Triggered by the World Health Organization's declaration of the coronavirus outbreak as a pandemic on March 11, 2020, global markets witnessed unprecedented shocks. A profound disruption occurred on March 12, 2020, with the Dow plummeting by 9.99%, an unprecedented decline comparable only to the 1929 Black Monday crash. This marked the beginning of a sustained period of market volatility that reverberated across economies. Against this backdrop, governments resorted to drastic measures including lockdowns, travel restrictions, and business closures to mitigate the virus's impact. By meticulously analyzing the DSE's response to the pandemic, this study addresses pivotal questions surrounding the shift in risk-return profiles of individual stocks and sectors during the pandemic and lockdown period. Notably, the DSE distinguished itself by opting for a comprehensive shutdown from March 26 to May 30, 2020, to stave off collapse. This decision introduced an intriguing scenario for assessing market behavior and risk-return dynamics. While financial support packages were deployed to curb economic deterioration, the DSE's hiatus signaled a rare policy deviation. Amidst the scarcity of empirical research on frontier markets and their response to COVID-19, this paper contributes vital insights. It chronicles the evolution of market returns, comparing pre-lockdown and post-reopening periods. By synthesizing a diverse range of data sources, the study unveils distinctive patterns that underscore the pandemic's transformational impact on financial markets. Moreover, the paper reviews pertinent literature, explicates the methodology employed, presents key findings, and culminates with conclusive remarks on the pandemic's far-reaching influence on financial ecosystems

Zenodo (CERN European Organization for Nuclear Research)
University of Massachusetts Amherst (US)
Good health and well-being
Openalex Percentile: Top 52%
Statistical Methods and Applications
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