scholarly journals Industry Impact of Covid Epidemic based on Event Analysis

2021 ◽  
Vol 13 ◽  
pp. 419-426
Author(s):  
Zhiqiang Li

On the day of the outbreak, the Covid epidemic brought huge systemic risks in China stock market, which even offset the positive effects brought about by the epidemic. For example, industries such as medicine did not show the expected general rise on the day of the epidemic. After the outbreak, with the rapid intervention of the government, investor confidence regained and they had high hopes for the market outlook. The market rebounded quickly and returned to the pre-epidemic level in less than 10 days. However, the performance of various industries in this process is different. This paper examines the impact of Covid epidemic on various industries in China based on the event analysis method.

2019 ◽  
Vol 11 (12) ◽  
pp. 149
Author(s):  
Ishmael Radikoko ◽  
Shadreck A. Mutobo ◽  
Mphoeng Mphoeng

This study examines the impacts of the stock market development on economic growth using Botswana as a case study. The study uses times series data covering a decade from 2006 to 2016. The method of analysis used is the Auto regressive distributed lag (ARDL) bounds model. The stock market capitalization ratio (MCR) was used as a proxy for market size while value of shares traded ratio (ST) and Turnover ratio (TR) were used as a proxy for liquidity, collectively representing stock market development. Real gross domestic product (GDP) growth rate was used to represent economic growth .The results show that market capitalization and turnover ratio have a negative correlation with economic growth, while the value of shares traded has a strong positive correlation with economic growth. This result implies that liquidity has propensity to stimulate economic growth in Botswana. The results of this study also found that there exists no causality relationship between stock market development and economic growth. The government should make policies that boost the interest of domestic investors in Botswana as this might spur investors’ interest and boost stock market activity which will improve liquidity and therefore stimulate economic growth.


2020 ◽  
pp. 33
Author(s):  
Marya Yenita Sitohang ◽  
Angga Sisca Rahadian ◽  
Puguh Prasetyoputra

The impact of the pandemic has influenced every aspect of people’s life. One of the positive impacts of the pandemic in Indonesia is the existence of the community initiative to prevent the COVID-19 spreading. This article aims to explore several initiatives coming from the society in relation to COVID-19 and the lesson learned for the society to have preparedness in facing health disasters. The data come from the 39 online news on the internet, the data was then analysed using a content analysis method. The authors found that Indonesian community initiative can be distinguished by two purposes i.e. to prevent the transmission of COVID-19 and to help the vulnerability group cope with the economic impact of COVID-19. Furthermore, mostly the initiative originally came from society without the intervention of the government. It is important to note that the collaboration between the government, both the centre and local, and the society should be strengthened.


2020 ◽  
Author(s):  
ivy theresa

Currently, in the whole world is experiencing a COVID-19 pandemic, including Indonesia. In Indonesia, there are quite a lot of people who have been affected by this virus. The presence of the COVID-19 will affect the economy, both in Indonesia and throughout the world. Many countries are predicted to experience a recession due to this pandemic. Finance Minister Sri Mulyani said, if COVID-19 could be handled as soon as possible, then economic growth was still above 4%. But the government must keep on preparing if this pandemic will last for another 3-6 months, the economic situation will worsen, with economic growth estimated at around 2.5% or even 0%.The purpose of this research is to find out the growth of COVID-19 in Indonesia and the impact of COVID-19 on the exchange rate. In this research, a descriptive analysis method is used by collecting data from the Ministry of Health, the Ministry of Finance and Bank Indonesia. The results of this study indicate the growth of COVID-19 in Indonesia and the impact of the virus on the exchange rate.Keywords : COVID-19, Exchange Rate, Research Methodology


Author(s):  
Xin-hao Liu ◽  
Li-min Han ◽  
Bin Yuan

Migrant workers are an important human resource for economic and social development. Considering the government’s goal of serving and improving people’s livelihoods, improving the happiness of migrant workers is necessary. This study investigates in-depth the impact of the conversion of household registration on migrant workers’ happiness, which is represented by a multi-dimensional comprehensive index based on the propensity matching score model and data from the China Migrants Dynamic Survey (CMDS) in 2017. Moreover, this study explores the different effects of conversion among the groups divided by the characteristics of migrant workers. The results show that from an overall perspective, although the conversion of household registration could improve the happiness of migrant workers, the degree of this improvement is minor. Further, the characteristics of the different groups, including age, educational background, contracted land, collective dividends, and income significantly affect the improvement of happiness. The conversion of household registration has obviously improved the happiness of migrant workers with low educational backgrounds, low income, and contracted land. Based on these findings, the government should take more targeted actions to improve the positive effects of household registration among different migrant worker groups due to the different characteristics in the process of household registration system reform.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Manogna R L

PurposeInnovation strategy and its outcomes may be different for agricultural input firms in developing countries than those operating in developed countries; hence, a study of developing economy should be an important addition to the literature which has earlier focussed mainly on developed countries. Indian firms which were previously catering to domestic demand are now the exporters of major agricultural machinery such as tractors and pesticides.Design/methodology/approachRapid growth in demand for the agricultural inputs and improvement in technology implementations have led us to study the performance and transformation of these input industries. An empirical analysis was performed on the listed agricultural input firms during 2001–2019 to investigate the relationship between the R&D efforts and growth of firms in the seed, pesticide, fertiliser and agricultural machinery industries using the system-generalised methods of moments (GMM) technique on the panel of 1,320 firm-year observations.FindingsThe findings reveal that investments in innovations have a positive and lagged effect on the growth of firms in the Indian agricultural inputs industry. A further analysis reveals that younger firms grow faster when they invest in R&D. More specifically, the author finds evidence in the case of the agricultural inputs industry that import of raw materials negatively affects the firms' growth (FG) and export intensity (EI) positively affects the growth in the case of R&D firms. Investments in R&D are also seen to enable firms to reap benefits from externalities present in the industry.Research limitations/implicationsThis study suggests that the government should encourage the industries to invest optimally in R&D projects by providing favourable fiscal treatments and R&D subsidies which are observed to have positive effects in various developed countries.Originality/valueThere are very few studies that have explored the impact of R&D expenditure on the firm performance in agricultural inputs industry, especially in an emerging economy context like India.


2013 ◽  
Vol 756-759 ◽  
pp. 3011-3015
Author(s):  
Yu Ling Zhao

The importance of understanding the underlying characteristics of private placement Announcement Effect attracts much attention from academic researchers and financial practitioners. Due to the overwhelming complexity of the financial market, many traditional methods such as intervention method and event study fail to produce consistently good analysis results. Empirical Mode Decomposition (EMD), proposed by Huang et al., appears to be a promising data analysis method for nonlinear and non-stationary time series. In this paper, innovative EMD-based multi-scale event analysis method is proposed to estimate the impact of Announcement Date Effect on stock price volatility, and then take illustrative FangDa Group (000055 in Shenzhen Stock Market) to verify the effectiveness of the proposed method. The case study results show that this approach is a promising method from the multi-scale point of view to analyze the impact of Announcement Date Effect in stock market.


2011 ◽  
Vol 26 (1) ◽  
pp. 60-77 ◽  
Author(s):  
Ali Alper Yayla ◽  
Qing Hu

The stock market reactions to information technology (IT)-related events have often been used as proxies to the value or cost of these events in the information systems literature. In this paper, we study the stock market reactions to information-security-related events using the event analysis methodology with consideration of the effects of a number of contingency factors, including business type, industry, type of breach, event year, and length of event window. We found that pure e-commerce firms experienced higher negative market reactions than traditional bricks-and-mortar firms in the event of security breach. We also found that denial of service attacks had higher negative impact than other types of security breaches. Finally, security events occurred in recent years were found to have less significant impact than those occurred earlier, suggesting that investors may have become less sensitive to the security events. Most interestingly, our analyses showed that the magnitude and longevity of security breaches vary with time across sub-samples. This raises some serious questions regarding the validity of analyzing only short-term stock market reactions as an indicator of the cost of security breaches, and in general, an indicator of the value of IT-related events. The implications of these results are discussed and potential future research directions are proposed.


2014 ◽  
Vol 915-916 ◽  
pp. 53-57
Author(s):  
Xu Dong Hu ◽  
Yu Song

The impact of certain extreme events on the construction index is of greatly importance which could be viewed as a huge turning to the index. In the paper, the Wenchuan Earthquake of China would be chosen as the extreme event and an EMD-based (Empirical Mode Decomposition) analysis approach would be used to test the earthquake’s impact. In the proposed method, a t-test is necessary to prove the significant level which could say the earthquake did have huge influence on the change of the construction index (399235.SZ) measured in Shenzhen stock market. Then the time series would be decomposed into six different modes and one residue which represent different turnings with different fluctuations and an average trend. Different fluctuations are caused by different factors but there is only one or several dominant modes can reflect the impact caused by certain extreme event which is the Wenchuan Earthquake of China in this study. Through a step-by-step analysis based on the EMD-based analysis approach, a simple solution would be obtained to estimate the huge impact caused by the Wenchuan Earthquake on the construction index which we name an EMD-based event analysis method.


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