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Economics

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Edith Cowan University

COVID-19

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A Note On The Relationship Between Covid-19 And Stock Market Return: Evidence From South Asia, Md Arafat Rahman, Md Mohsan Khudri, Muhammad Kamran, Pakeezah Butt Apr 2022

A Note On The Relationship Between Covid-19 And Stock Market Return: Evidence From South Asia, Md Arafat Rahman, Md Mohsan Khudri, Muhammad Kamran, Pakeezah Butt

Research outputs 2014 to 2021

Purpose:

The transformation of coronavirus disease (COVID-19) from a regional health crisis in a Chinese city to a global pandemic has caused severe damage not only to the natural and economic lives of human beings but also to the financial markets. The rapidly pervading and daunting consequences of COVID-19 spread have plummeted the stock markets to their lowest levels in many decades especially in South Asia. This concern motivates us to investigate the stock markets’ response to the COVID-19 pandemic in four South Asian countries: Bangladesh, India, Pakistan and Sri Lanka. This study aims to investigate the causal impact of …


Prevalence And Socio-Demographic Predictors Of Food Insecurity In Australia During The Covid-19 Pandemic, Katherine Kent, Sandra Murray, Beth Penrose, Stuart Auckland, Denis Visentin, Stephanie Godrich, Elizabeth Lester Sep 2020

Prevalence And Socio-Demographic Predictors Of Food Insecurity In Australia During The Covid-19 Pandemic, Katherine Kent, Sandra Murray, Beth Penrose, Stuart Auckland, Denis Visentin, Stephanie Godrich, Elizabeth Lester

Research outputs 2014 to 2021

The COVID-19 pandemic has exacerbated economic vulnerabilities and disrupted the Australian food supply, with potential implications for food insecurity. This study aims to describe the prevalence and socio-demographic associations of food insecurity in Tasmania, Australia, during the COVID-19 pandemic. A cross-sectional survey (deployed late May to early June 2020) incorporated the U.S. Household Food Security Survey Module: Six-Item Short Form, and fifteen demographic and COVID-related income questions. Survey data (n = 1170) were analyzed using univariate and multivariate binary logistic regression. The prevalence of food insecurity was 26%. The adjusted odds of food insecurity were higher among respondents with a …