Impact of the OMRR Operation in Fighting the Adverse Effects of COVID-19 on the Chinese Stock Market: An Event Study

2021 ◽  
Vol 16 (3) ◽  
pp. 495-520
Author(s):  
Lin Guo ◽  
◽  
Xufei Zhang ◽  
Songlei Chao ◽  
◽  
...  

The outbreak of the COVID-19 epidemic has had an adverse effect on China's economy. This paper uses the event study method to test and measure the impact of the open market reverse repo (OMRR) operation on the Chinese stock market. The results show that the OMRR operation generates a positive daily abnormal return and a positive daily cumulative abnormal return on average for all stocks. The impact is larger for non-state-owned enterprise (non-SOE) firms than for SOE firms, stocks of non-Hubei provinces than those of the Hubei province, and for stocks of the information transmission and technology industry than those of other industries. We suggest that our government implement more prudent monetary policies and more proactive fiscal policies.

2020 ◽  
pp. 105-117
Author(s):  
Fuzhong Chen ◽  
Di Yu

In 2018, the China-U.S. trade dispute started, which brings heterogeneous impacts on the global economy. The purpose of this paper is to examine the effects of tariffs targeting Chinese exporting commodities imposed by the U.S. on the Chinese stock market by utilizing the event study analysis. 10 industries' stock returns between Jan. 3rd , 2017, and Apr. 3rd , 2020 were selected as the research objectives from the WIND database, according to the Chinese Shen Wan's classification standard. Results based on event study analysis show that: First, the China-U.S. trade dispute causes significant fluctuations to Chinese stock returns. Second, the impacts of the trade dispute are mainly negative, showing by the negative cumulative average abnormal returns in the export-oriented sectors when they are encountered with new tariffs imposed by the United States. However, the effects can also be positive because of the various situations of targeted industries, and the defensive measures taken by China. Third, the trade dispute also affects investors' views on the macro economy, in which the impact on the real economy can be transferred to other non-export-oriented industries, such as the banking sector. This study provides empirical evidence for China's policymakers to take measures in strengthening the independence of innovation, protecting intellectual property rights. Investors also need to equip themselves with more financial knowledge.


2020 ◽  
Vol 11 (2) ◽  
pp. 194
Author(s):  
Fiaz Ahmad SULEHRI ◽  
Amjad ALI

Pakistan is struggling against many problems; out of which political instability and terrorism are crucial problems. These issues hindered the economic growth of the country as well as the confidence of investors. This study has investigated the impact of political events on Pakistan Stock Exchange. This paper uses a standard event study methodology. Data relating to the stock market index has been collected from the website of Pakistan Stock Exchange and relating to political events has been collected from the newspapers of Business Recorder and DAWN. A total of 18 political events was considered in the study out of which 08 events were coded as positive and other 10 were deemed negative. The first day abnormal return, a five-day cumulative abnormal return and ten-day cumulative return was calculated for all of the events. This study found evidence that political events affected the stock market in Pakistan, but their impact is different considering the economic and political implications of these events. Certain events had the strongest impact on the stock market like Nuclear tests for effective defense, the Supreme Court had revoked the Presidential order and Nawaz Sharif had been reinstated, General elections held in the country and the 14th amendment because 14th amendment was related to the elimination of corruption in political parties. Overall, this study laid the foundation to make further explorations into the phenomenon of uncertainty caused by political events in relevance to the stock market in Pakistan.


Author(s):  
Aref Emamian

This study examines the impact of monetary and fiscal policies on the stock market in the United States (US), were used. By employing the method of Autoregressive Distributed Lags (ARDL) developed by Pesaran et al. (2001). Annual data from the Federal Reserve, World Bank, and International Monetary Fund, from 1986 to 2017 pertaining to the American economy, the results show that both policies play a significant role in the stock market. We find a significant positive effect of real Gross Domestic Product and the interest rate on the US stock market in the long run and significant negative relationship effect of Consumer Price Index (CPI) and broad money on the US stock market both in the short run and long run. On the other hand, this study only could support the significant positive impact of tax revenue and significant negative impact of real effective exchange rate on the US stock market in the short run while in the long run are insignificant. Keywords: ARDL, monetary policy, fiscal policy, stock market, United States


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Pyemo N. Afego ◽  
Imhotep P. Alagidede

PurposeThis paper explores how a firm's public stand on a social-political issue can be a salient signal of the firm's values, identity and reputation. In particular, it investigates how boycott participation–conceptualized as a cue of a corporation's stand on important social-political issues–may affect the stock market valuation of that corporation, as well as how corporations legitimise their stand on the issues.Design/methodology/approachThe authors employ a mixed-methods design that uses both qualitative techniques (content analysis) and quantitative methods (event study methodology) to examine a sample of US firms who participated in a boycott campaign that sought to call attention to issues of hate speech, misinformation and discriminatory content on social media platform Facebook.FindingsFindings from the qualitative content analysis of company statements show that firms legitimise their stand on, and participation in, the boycott by expressing altruistic values and suggesting to stakeholders that their stand aligns not only with organizational values/convictions but also with the greater social good. Importantly, the event study results show that firms who publicly announced their intention to participate in the boycott, on average, earn a statistically significant positive abnormal stock return of 2.68% in the four days immediately after their announcements.Research limitations/implicationsFindings relate to a specific case of a boycott campaign. Also, the sample size is limited and restricted to US stocks. The signalling value of corporate social advocacy actions may vary across countries due to institutional and cultural differences. Market reaction may also be different for issues that are more charged than the ones examined in this study. Therefore, future research might investigate other markets, use larger sample sizes and consider a broader range of social-political issues.Practical implicationsThe presence of significant stock price changes for firms that publicly announced their decision to side with activists on the issue of hate propaganda and misinformation offers potentially valuable insights on the timing of trades for investors and arbitrageurs. Insights from the study also provide a practical resource that can be used to inform organizations' decision-making about such issues.Social implicationsTaking the lead to push on social-political issues, such as hate propaganda, discrimination, among others, and communicating their stands in a way that speaks to their values and identity, could be rewarding for companies.Originality/valueThis study provides novel evidence on the impact that corporate stances on important social-political issues can have on stock market valuation of firms and therefore extends the existing related research which until now has focused on the impact on consumer purchasing intent and brand loyalty.


2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Xianbo Wu ◽  
Xiaofeng Hui

By calculating the mutual information of stock indexes of 10 primary industry sectors in China, this paper analyzes the dependence relationship among Chinese stock sectors during the COVID-19 and the dynamic evolution of the relationship by using the sliding window method. According to the actual situation of the development of COVID-19 in China, the samples were divided into three stages, namely, calm period, pandemic period, and post-pandemic period. The results show that the dependence relationship among Chinese stock sectors is significantly enhanced in the pandemic period, but it decreases in the post-pandemic period and the dependence structure is similar to that in the calm period. The industrials sector is most closely connected with other sectors in the pandemic period. The information technology sector and telecommunication services sector maintain strong dependence in the three periods and share little contact with other sectors. In the pandemic period, the dependence between the consumer staples sector and other sectors is significantly enhanced, and consumer staples sector and health care sector maintain a strong dependence. From the results of the sliding window, the Chinese stock market is sensitive to the impact of COVID-19, but the duration of the impact on the dependence among the stock sectors is not long.


2014 ◽  
Vol 4 (2) ◽  
pp. 584-599
Author(s):  
Amira KADDOUR ◽  
Mourad ZMAMI

Using an event study analysis, we aim to investigate the impact of political, economic, social and terrorism events, on the Tunisian financial sector, over the period of the Tunisian Revolution; from (12)2010 to (04)2014. Based on a daily data analysis using three selected variables ; Sectoral index of performance of Tunisian banks ,Index of Tunisian stock market and the exchange rate Euro/ Dinar,  the EGARCH model results have highlighted that general events decrease the return of our variables, and increase their volatility. More, results have shown that stock market is very sensitive to political and terrorism events, bad economic events increase the volatility of the exchange rate, and decrease the performance of banking sector. Political events remain the more important component, they affect negatively all the endogenous variables; coefficients in the mean equation show an important decline in term of the return of banking sector ,the stock market and the exchange rate.


2022 ◽  
pp. 266-282
Author(s):  
Elif Erer ◽  
Deniz Erer

This study analyzes the short-run and long-run effects of interaction between fiscal and monetary policies on stock market performance in four emerging Asian economies, which are China, India, Indonesia, and Malaysia, by using ARDL model. The study covers the period of 2003:Q1-2020:Q1. The findings from this study show monetary and fiscal policies play an important role in determining stock market returns. Also, the results theoretically support Richardian neutrality hypothesis for China and Indonesia, Keynesian positive effect hypothesis for India, and classical crowding out effect hypothesis for Malaysia, and interest channel of monetary transmission mechanism only for China.


Author(s):  
Peinan Ji ◽  
Xiangbin Yan ◽  
Guang Yu

This article analyzes the effects of rumor and official rumor clarification on Chinese stock returns under different rumor conditions using an event study. The results are based on a sample of 832 rumor clarification announcements from China Listed Companies spanning the period of 2015 to 2017. The results show that the average cumulative abnormal return after the rumor event is significantly positive in the positive rumor sample and neutral sample, and significantly negative in the negative rumor sample. After the clarification announcements, we find the announcements effective for the positive and neutral rumor sample, but not in the case of the negative sample. However, by comparing different clarification times of each sample, we find that the earlier the clarification time is, the smaller the impact on the companies in positive and negative rumor examples.


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