• The Journal of Asian Finance, Economics and Business
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• v.8 no.7
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• pp.121-127
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• 2021

This study investigates the impact of the COVID-19 pandemic on exchange rates of the top ten currencies according to their trading value with Thailand by employing a regression analysis. Data includes daily number of COVID-19 cases - confirmed, new, deaths - and exchange rates against Thai Baht - CNY, JPY, USD, MYR, SGD, VND, IDR, AUD, HKD, TWD - which cover the period from January 2, 2020 to December 15, 2020. Results show that the confirmed cases of COVID-19 in Thailand relate to changes in all exchange rates; CNY, MYR, SGD, VND, AUD, and TWD have depreciated in relation to the THB, whereas JPY, USD, IDR, and HKD have appreciated. Furthermore, the new cases and deaths of COVID-19 have similar associations with almost all exchange rates. Deprecation of the JPY, USD, VND, HKD, and TWD in relation to the THB is due to new cases, on the contrary the MYR, IDR, and AUD have appreciated. Likewise, the JPY, USD, VND, and HKD have depreciated, but the CNY, MYR, SGD, and AUD have appreciated in relation to the THB owing to deaths cases. The study findings provide useful knowledge to manage an exchange rate risk for business and could help policymakers to improve the efficiency of exchange rate.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.7
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• pp.1-9
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• 2021

This paper investigates the impact of the domestic and global outbreak of the coronavirus (COVID-19) pandemic on the trading size of the Malaysian stock (MS) market. The theoretical model posits that stock markets are affected by their response to disasters and events that arise in the international or local environments, as well as to several financial factors such as stock volatility and spread bid-ask prices. Using daily time-series data from 27 January to 12 May 2020, this paper utilizes the traditional Augmented Dickey and Fuller (ADF) technique and Zivot and Andrews with structural break' procedures for a stationarity test analysis, while the autoregressive distributed lag (ARDL) method is applied according to the trading size of the MS market model. The analysis considered almost all 789 listed companies investing in the main stock market of Malaysia. The results confirmed our hypotheses that both the daily growth in the active domestic and global cases of coronavirus (COVID-19) has significant negative effects on the daily trading size of the stock market in Malaysia. Although the COVID-19 has a negative effect on the Malaysian stock market, the findings of this study suggest that the COVID-19 pandemic may have an asymmetric effect on the market.

• Journal of Korea Trade
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• v.27 no.2
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• pp.22-46
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• 2023

Purpose - study aims to investigate the relationships between global value chain (GVC)- and transportation-related determinants and economic performance. Also, moderating effects of COVID-19 on the relationships are theoretically and empirically discussed. A limitation of previous studies includes their over-reliance on the opportunities of GVC participation and larger transportation. This study represents the challenges associated with them. Also, it shows how GVC and logistics can be difficult in case of a market fluctuation such as COVID-19. Design/methodology - The sample for this study includes 828 observations from 138 countries. A semi-panel data set has been used. Six observations for each country are used to empirically test the hypotheses and a Two-way cluster model is conducted. Findings - It is confirmed that GVC forward participation contributes more than the backward participation to enhance performance. Transportation infrastructure is critical, but large scales of marine and air transportations are not positive in terms of economic performance. Stricter government response to COVID-19 negatively moderates economic performance by GVC backward participation and transportation infrastructure. Originality/value - The spread of COVID-19 is causing a severe collapse of GVC and transportation. This study empirically verifies the moderating effects of the government stringency on GVC and transportation. Previous studies usually discuss a positive impact of GVC and transportation size on economic performance. However, this study aims to show various challenges behind GVC participation and large scale transportation.

• Clinical Endoscopy
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• v.55 no.1
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• pp.49-57
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• 2022

Background/Aims: The coronavirus disease 2019 (COVID-19) outbreak has modified the activities of endoscopy units worldwide. Herein, we investigated the impact of the COVID-19 outbreak on anesthesiologist assistance for endoscopic procedures in Lombardy, Italy. Methods: A questionnaire concerning anesthesiologist assistance provided from October 26 to December 6, 2020, in comparison with the same period in 2019, was sent to endoscopic units in Lombardy. Results: Approximately 54% (34/63) of the units responded. A reduction in the number of all endoscopies (-33.5%; 18792 in 2020 vs. 28264 in 2019) and anesthesiologist-assisted endoscopies (-15.3%; 2652 in 2020 vs. 3132 in 2019) was reported. A greater reduction in anesthesiologist assistance was observed in government community units (-29.5%) than in academic (-14%) and private community units (-4.6%). Among all units, 85% reported a reduction in anesthesiologist assistance; 65% observed a delay/cancellation of procedures; 59%, a restricted patient selection; 17%, the need to transfer some patients to other hospitals; and 32%, a related worsening of procedure quality. Conclusion: The COVID-19 pandemic compromised the anesthesiologist assistance for endoscopic procedures in Lombardy, which worsened the procedure quality mainly in government community units. The COVID-19 "stress test" suggests a more balanced allocation of anesthesiologic resources in the future.

• IEMEK Journal of Embedded Systems and Applications
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• v.17 no.4
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• pp.249-255
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• 2022

The COVID-19 virus appeared in 2019 and is extremely contagious. Because it is very infectious and has a huge impact on people's mobility. In this paper, multiple linear regression and random forest models are used to predict the number of COVID-19 cases using COVID-19 infection status data (open source data provided by the Ministry of health and welfare) and Google Mobility Data, which can check the liquidity of various categories. The data has been divided into two sets. The first dataset is COVID-19 infection status data and all six variables of Google Mobility Data. The second dataset is COVID-19 infection status data and only two variables of Google Mobility Data: (1) Retail stores and leisure facilities (2) Grocery stores and pharmacies. The models' performance has been compared using the mean absolute error indicator. We also a correlation analysis of the random forest model and the multiple linear regression model.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.3
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• pp.33-42
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• 2022

Oil prices have become more volatile as a result of global economic contraction and control measures. Before and during the COVID-19 crisis, this study examines the relationship between oil price swings and daily stock returns in the power sector. The impact is investigated using a panel Vector Autoregressive (VAR) model. Granger causality tests are used to see if oil prices are effective in predicting returns. The dynamic impact of supply shocks is studied using Impulse Response Functions (IRFs). From January 2011 to May 2021, the study used daily data from all listed power sector enterprises on the Pakistan stock exchange. To investigate the differences in reactions between the Pre-COVID and COVID eras, the sample was separated into two groups. Oil shocks are inversely associated with daily firm stock returns. The conclusions are further supported by the lack of impact of stock prices on oil prices. The relationship, however, deteriorates during the COVID pandemic. We could not uncover any evidence of a significant relationship. In developing countries that rely on oil imports, the study sheds light on the utility of oil price shocks in daily stock return predictions.

• Journal of Yeungnam Medical Science
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• v.39 no.3
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• pp.216-222
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• 2022

Background: This study assessed the psychological impact of the outbreak of coronavirus disease 2019 (COVID-19) on university hospital nurses. It provides an assessment of mental health issues, including depression, anxiety, distress, and burnout of nurses dealing directly and indirectly with COVID-19. Methods: In a web-based, cross-sectional study, 111 nurses from Daegu Catholic University Hospital in Korea were enrolled from August 4 to August 9, 2020. Patient Health Questionnaire-9, Generalized Anxiety Disorder-7, Impact of Event Scale-Revised, and Maslach Burnout Inventory were used to assess the psychological symptoms of depression, anxiety, psychological distress, and burnout among the study participants. Results: Of 111 nurses, 35 (31.5%), nine (8.1%), 26 (23.4%), and 49 (44.1%) experienced depression, anxiety, distress, and burnout, respectively. Nurses who performed COVID-19-related tasks were more likely to have moderate depression (related vs. unrelated, 52.0% vs. 25.6%; p=0.037). There were no differences in anxiety, distress, and burnout between nurses with and without COVID-19-related tasks. More than 50% of the participants showed receptive and positive attitudes toward caring for COVID-19 patients. Conclusion: Nurses who performed COVID-19-related tasks had a higher risk of depression. There were no significant differences in anxiety, distress, and burnout between the two groups. Since nurses who perform COVID-19-related tasks are more prone to psychological distress, continued psychiatric interventions are required for infectious disease outbreaks with a high mortality rate for healthcare workers who are emotionally vulnerable.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.3
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• pp.95-103
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• 2022

This study aimed to find the mediating impact of entrepreneurial education during COVID-19 on entrepreneurial intention among university students from major cities of Pakistan. Majority of businesses shifted to online from offline mode as a result of COVID-19 pandemic. This created a great opportunity for university students to become entrepreneurs without much investment during COVID-19. Primary data for this study was collected with the help of an adopted questionnaire from previous studies. An online survey was considered appropriate due to the COVID-19 situation in the country. The number of data samples collected from the major cities of Pakistan was 460. The research hypothesis was tested with the help of SmartPLS by using least square structural equation modeling. Findings revealed there is full mediation of entrepreneurial education during COVID-19 between the self-efficacy, subjective norms, and attitude towards entrepreneurship for entrepreneurial intention during COVID-19 among university students. Therefore, the research confirmed the application of the theory of planned behavior among university students in Pakistan with regards to factors such as self-efficacy, subjective norms, attitude towards entrepreneurship and entrepreneurial intention. The present study also concludes that all students regardless of their area of study such as Business and Engineering look forward to become entrepreneurs during COVID-19. The students opting for entrepreneurship had either formal or informal entrepreneurial education during COVID-19.

• Journal of Yeungnam Medical Science
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• v.41 no.2
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• pp.86-95
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• 2024

Background: This study aimed to investigate the impact of coronavirus disease 2019 (COVID-19) on the development of major mental disorders in patients visiting a university hospital. Methods: The study participants were patients with COVID-19 (n=5,006) and those without COVID-19 (n=367,162) registered in the database of Keimyung University Dongsan Hospital and standardized with the Observational Medical Outcomes Partnership Common Data Model. Data on major mental disorders that developed in both groups over the 5-year follow-up period were extracted using the FeederNet computer program. A multivariate Cox proportional hazards model was used to estimate the hazard ratio (HR) and 95% confidence interval (CI) for the incidence of major mental disorders. Results: The incidences of dementia and sleep, anxiety, and depressive disorders were significantly higher in the COVID-19 group than in the control group. The incidence rates per 1,000 patient years in the COVID-19 group vs. the control group were 12.71 vs. 3.76 for dementia, 17.42 vs. 7.91 for sleep disorders, 6.15 vs. 3.41 for anxiety disorders, and 8.30 vs. 5.78 for depressive disorders. There was no significant difference in the incidence of schizophrenia or bipolar disorder between the two groups. COVID-19 infection increased the risk of mental disorders in the following order: dementia (HR, 3.49; 95% CI, 2.45-4.98), sleep disorders (HR, 2.27; 95% CI, 1.76-2.91), anxiety disorders (HR, 1.90; 95% CI, 1.25-2.84), and depressive disorders (HR, 1.54; 95% CI, 1.09-2.15). Conclusion: This study showed that the major mental disorders associated with COVID-19 were dementia and sleep, anxiety, and depressive disorders.

• The Journal of the Korea Contents Association
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• v.20 no.12
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• pp.154-165
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• 2020

With a long-lasting pandemic of COVID-19, we have faced unprecedented socioeconomic threats. The regulation of human exchange has exposed us not only to the threat of health and medical care problems, but also to the burden of the contraction of economic activity. The outbreak of COVID-19 did give us an opportunity to reexamine the social safety net which has been prepared for such crisis situations. The current study, in this vein, aims to investigate the impact of evaluations of social safety nets on the trust in government and on individual willingness to accept tax increases. To this end, this study has explored the data from a survey conducted on 1,000 adult men and women across the country (South Korea) in May, 2020, when COVID-19 has entered a pandemic phase. The analysis result then has shown that the evaluation of social safety net after the outbreak of COVID-19 had a positive impact on the trust in the government, which in turn led to the increase of the willingness to accept tax increases. Moreover, the positive impact of trust in government on the willingness to accept tax increases has been more amplified when the income level was increased. These results could contribute to laying the theoretical foundation for restructuring the policies and systems for the post COVID-19 era.