http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
The Impact of COVID-19 on the Volatility of Bangladeshi Stock Market: Evidence from GJR-GARCH Model
Uttam GOLDER,Nishat RUMALY,A. H. M. SHAHRIAR,Mohammad Jahangir ALAM,A. Amin BISWAS,Mohammad Nazrul ISLAM 한국유통과학회 2022 The Journal of Asian Finance, Economics and Busine Vol.9 No.4
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.
Xiaoxiao Shan,Yaoqi Zhang,Zhigang Zhang,Miaorui Chen,Yongyu Su,Yingna Yuan,M. Jahangir Alam,He Yan,Lei Shi 한국식품과학회 2012 Food Science and Biotechnology Vol.21 No.1
The purpose of this study was to develop a real-time quantitative loop-mediated isothermal amplication (LAMP) method for the rapid, sensitive, and convenient detection of Listeria monocytogenes in food. The LAMP method could amplify the hlyA gene of L. monocytogenes successfully at 63oC with a loopamp real-time turbidimeter. The detection limits of the LAMP for hlyA gene were 6colony forming units (CFU)/tube. A standard curve was generated for L. monocytogenes LAMP by plotting the graph based different log CFU values of L. monocytogenes and time of positivity through real-time monitoring of the amplication. Then, the LAMP method was employed to test 94 retail food samples effectively. Sensitivity in detection of L. monocytogenes by the LAMP was higher than that of PCR and none of the conventional methodpositive samples was missed by the LAMP method.