The Impact of COVID-19 on the Volatility of Bangladeshi Stock Market: Evidence from GJR-GARCH Model

被引:3
|
作者
Golder, Uttam [1 ]
Rumaly, Nishat [1 ]
Shahriar, A. H. M. [1 ]
Alam, Mohammad Jahangir [2 ]
Biswas, Al Amin [1 ]
Islam, Mohammad Nazrul [1 ]
机构
[1] Jashore Univ Sci & Technol, Dept Finance & Banking, Jashore, Bangladesh
[2] Jashore Univ Sci & Technol, Dept Accounting & Informat Syst, Jashore 7408, Bangladesh
来源
关键词
COVLD-19; Dhaka Stock Exchange (DSE); Volatility; GJR-GARCH; Bangladesh; TIME-SERIES;
D O I
10.13106/jafeb.2022.vol9.no4.0029
中图分类号
F [经济];
学科分类号
02 ;
摘要
The enormous sway of COVID-19 on the international financial market has been felt across the globe. The financial markets of Bangladesh have also been similarly affected by the global epidemic and experienced a significant increase in volatility. To scrutinise the connection between COVID-19 and the Dhaka Stock Exchange (DSE) indices' return and instability, this study uses data of the DSE from February 2014 to September 2021. A comparative examination of the return and instability of the stock indices of the DSE has also been done considering the outbreak of the current COVID-19 situation. After using the GJR-GARCH (1,1) model, this review uncovers that the outbreak of COVID-19 has a statistically positive noteworthy association with the DSE stock indices' instability, which increases the market's volatility. Traders' fear and the rising frequency of COVID-19 reported patients could cause this. Besides, according to this study, COVID-19 shows a substantial positive linkage with stock market returns that increases the market's return. An appealing valuation, lower interest rates in the banking channel, economic rebound following the closure to prevent coronavirus transmission, improved remittance inflows, and a return of export revenues could all have contributed to this outcome. In addition, the findings also reveal that all market indices are in a mean-reverting phase.
引用
收藏
页码:29 / 38
页数:10
相关论文
共 50 条
  • [1] Investigating Impact of Volatility Persistence and Information Inflow on Volatility of Stock Indices Using Bivarite GJR-GARCH
    Sinha, Pankaj
    Agnihotri, Shalini
    [J]. GLOBAL BUSINESS REVIEW, 2016, 17 (05) : 1145 - 1161
  • [2] Volatility Forecasting using a Hybrid GJR-GARCH Neural Network Model
    Monfared, Soheil Almasi
    Enke, David
    [J]. COMPLEX ADAPTIVE SYSTEMS, 2014, 36 : 246 - 253
  • [3] COVID-19 Pandemic and Romanian Stock Market Volatility: A GARCH Approach
    Gherghina, Stefan Cristian
    Armeanu, Daniel Stefan
    Joldes, Camelia Catalina
    [J]. JOURNAL OF RISK AND FINANCIAL MANAGEMENT, 2021, 14 (08)
  • [4] COVID-19 Pandemic & Financial Market Volatility; Evidence from GARCH Models
    Khan, Maaz
    Kayani, Umar Nawaz
    Khan, Mrestyal
    Mughal, Khurrum Shahzad
    Haseeb, Mohammad
    [J]. JOURNAL OF RISK AND FINANCIAL MANAGEMENT, 2023, 16 (01)
  • [5] Impact of COVID-19 on Global Stock Market Volatility
    Kusumahadi, Teresia Angelia
    Permana, Fikri C.
    [J]. JOURNAL OF ECONOMIC INTEGRATION, 2021, 36 (01) : 20 - 45
  • [6] Stock Market Volatility Response to COVID-19: Evidence from Thailand
    Suwannapak, Suthasinee
    Chancharat, Surachai
    [J]. JOURNAL OF RISK AND FINANCIAL MANAGEMENT, 2022, 15 (12)
  • [7] Measure the Market Risk of the Options on Stock Indices Based on GJR-GARCH Model and Monte Carlo Simulation
    Li, Qiang
    Xia, Shaoxian
    [J]. PROCEEDINGS OF THE FIFTH SYMPOSIUM OF RISK ANALYSIS AND RISK MANAGEMENT IN WESTERN CHINA (WRARM 2017), 2017, 152 : 18 - 23
  • [8] COVID-19 impact on stock market: Evidence from the Indian stock market
    Sahoo, Manamani
    [J]. JOURNAL OF PUBLIC AFFAIRS, 2021, 21 (04)
  • [9] Volatility dynamics of the Tunisian stock market before and during the COVID-19 outbreak: Evidence from the GARCH family models
    Fakhfekh, Mohamed
    Jeribi, Ahmed
    Ben Salem, Marwa
    [J]. INTERNATIONAL JOURNAL OF FINANCE & ECONOMICS, 2023, 28 (02) : 1653 - 1666
  • [10] Investor Attention and Global Stock Market Volatility: Evidence from COVID-19
    Padungsaksawasdi, Chaiyuth
    Treepongkaruna, Sirimon
    [J]. JOURNAL OF EMERGING MARKET FINANCE, 2023, 22 (01) : 85 - 104