scholarly journals FINANCIAL SECTOR STOCKS REACTION TO COVID-19 EVENTS

2021 ◽  
Author(s):  
Filip Peovski ◽  
◽  
Igor Ivanovski ◽  
Sulejman Ahmedi ◽  
◽  
...  

Price fluctuations in the financial sector are often of major interest when projecting the general performance and state of the economy. The implications of the COVID-19 pandemic in the sector are analyzed through the event study method. A random sample portfolio of 20 financial sector stocks listed on the NYSE is used and its reaction on 15 different events throughout 2020 is observed. Results indicate that events in the earlier stage of the pandemic exhibit both higher abnormal returns and significance, compared to the ones at the latter stages, with a larger proportion of them being bad news. The financial sector is perceived to react significantly in such cases, usually anticipating them beforehand. As adjustment windows are rarely significant, the market’s reaction is deemed as efficient. The general conclusion is that the financial sector stocks react to important COVID-19 news, generating abnormal rather than expected returns.

2015 ◽  
pp. 89-110 ◽  
Author(s):  
Thuy Nguyen Thu ◽  
Giang Dao Thi Thu ◽  
Hoang Truong Huy

This paper examines the abnormal returns in merger withdrawals in Australia, especially distinguishing the market response between private and public targets. We also study the determinants of those abnormal returns, including the method of payment and the impact of financial crisis periods. Using the event study method, we document that in the Australian context, the announced withdrawal of mergers involving private targets creates significantly negative valuation effects in comparison with the valuation effects in withdrawal of mergers involving public targets. We also find that a financial crisis period strongly affects abnormal returns of merger withdrawals. However, the method of payment does not have any impact on the abnormal returns.


2018 ◽  
Vol 8 (1) ◽  
pp. 57-79 ◽  
Author(s):  
Lincoln C. Wood ◽  
Jason X. Wang

Logistics researchers often want to understand how particular management changes or external factors influence a firm. While this can be accomplished using operational or survey data, the authors outline an alternative approach using the event study method where inferences are made with the estimated magnitude and direction of abnormal returns. The calculated abnormal returns can be used as a dependent variable in a cross-sectional regression to understand which managerial decisions may affect these outcomes. As the method remains little used by logistics researchers, the authors outline key assumptions and design considerations. They review recent articles and provide suggestions for logistics researchers improve the rigor of their research designs. This article aims to provide an overview of the method for logistics and supply chain researchers with a focus on developing the capability to design an effective study and to evaluate research articles to assess methodological weaknesses that may lead to untrustworthy results.


Author(s):  
Lincoln C. Wood

The event study method allows researchers to examine the importance of an event to firms based on the magnitude and direction of abnormal returns, and then use these results in a cross-sectional regression to understand which managerial decisions may affect these outcomes. While the method has been heavily used in some disciplines, in-management research and logistics research, in particular, the method remains little used and is often used with little thought to key assumptions and design considerations. This chapter aims to provide an overview of the method for logistics and supply chain researchers with a focus on developing the capability to design an effective study and to evaluate research articles to determine possible weaknesses.


2018 ◽  
pp. 2430
Author(s):  
I Kadek Diky Agusnawan ◽  
Dewa Gede Wirama

Announcement of CEO turnover indicates a change in company management in order to improve company performance. The purpose of this study is to test whether the capital market reacts to CEO turnover announcements. This study uses event study method and the sample was selected purposively. The research sample consisted of 79 companies listed in the IDX. Based on the results of the analysis it is found that there are no abnormal returns around the CEO turnover announcement. The results shows that there is no information content in the CEO turnover announcement. The results of this study is consistent with the research of Warner et al., (1998) and Setiawan (2008). The results of the study is not consistent with the research of Weisbach (1988), Kang and Shivdasani (1996), Derment-Ferere and Renneboog (2000), Bahtera (2017). Keywords: Chief executive officer, cumulative abnormal return, market reaction


2007 ◽  
Vol 97 (5) ◽  
pp. 1978-1993 ◽  
Author(s):  
Massimo Guidolin ◽  
Eliana La Ferrara

This paper studies the relationship between civil war and the value of firms in a poor, resource-abundant country using microeconomic data for Angola. We focus on diamond mining firms and conduct an event study on the sudden end of the conflict, marked by the death of the rebel movement leader in 2002. We find that the stock market perceived this event as “bad news” rather than “good news” for companies holding concessions in Angola, as their abnormal returns declined by 4 percentage points. The event had no effect on a control portfolio of otherwise similar diamond mining companies. This finding is corroborated by other events and by the adoption of alternative methodologies. We interpret our findings in light of conflict-generated entry barriers, government bargaining power, and transparency in the licensing process. (JEL D74, G32, O13, O17, Q34)


2021 ◽  
Vol 18 (2) ◽  
pp. 20-36
Author(s):  
Sanket Ledwani ◽  
Suman Chakraborty ◽  
Sandeep S. Shenoy

The unprecedented outbreak of COVID-19 has affected every aspect of the human life, be it health, social, or economic dimensions. The anxiety and uncertainty wobbled the economies of affected countries worldwide. This study attempts to quantify the impact of COVID-19 on the performance of major stock markets of G-7 nations vis-à-vis BRICS nations. An event study methodology is employed to capture the effect of the systematic event in the form of Buy and Hold Abnormal Returns (BHAR) and Average Buy and Hold Abnormal Returns (ABHAR). The study considers a 90-day observation window, consisting of six sub-event windows after the COVID-19 news up-doves the world, and 120 days prior to the selected event date to estimate average expected returns. BHAR values in the four event windows are statistically significant, covering stock markets from panic and nosedive to their correction and recovery. ABHAR values reported are significantly negative in the event window ranging from –0.15% to –38.43% for G-7 and –0.06% to –37.12% for BRICS nations. Despite similar ABHAR trends, the BHAR values and correlation matrix exhibit a diverse reaction in BRICS nations compared to the highly synchronized reaction in the G-7 group of nations in the COVID period.


2018 ◽  
Vol 15 (3) ◽  
pp. 97-110
Author(s):  
Xin Zhao ◽  
Mingsheng Li ◽  
Liuling Liu

The authors adopt an event study method and empirically investigate the performance of a beta momentum strategy (long in past winners of small beta and short in past losers of large beta) after extreme market movements in 20 countries. The researchers find that the beta momentum strategy yields material abnormal returns after controlling for return factors of size (SMB), book-to-market (HML) and momentum (UMD). The results are consistent for both extreme market UP days or DOWN days and regardless of whether the extreme market movements are identified by three percent or two percent cut-off points. In addition, the results based on the beta momentum strategy are more consistent than those of conventional momentum and betting against beta (BAB) strategies over different test windows from (0, +1) days to (0, +90). Finally, the abnormal returns based on momentum, BAB, and our beta momentum strategies are statistically insignificant for the Asian and Australian subsamples, whereas the results are significant for the European and North American samples.


2013 ◽  
Vol 11 (4) ◽  
pp. 503 ◽  
Author(s):  
Flávia Cruz de Souza Murcia ◽  
Fernando Dal-Ri Murcia ◽  
José Alonso Borba

This study analyzes the effect of credit rating announcements on stock returns in the Brazilian market during 1997-2011. We conducted an event study using a sample of 242 observations of listed companies, 179 from Standard and Poor’s and 63 from Moody’s, to analyze stock market reaction. Abnormal returns have been computed using the Market Model and CAPM for three windows: three days (-1, +1), 11 days (-5, +5) and 21 days (-10, +10). We find statistically significant abnormal returns in days -1 and 0 for all the three types of rating announcement tested: initial rating, downgrades and upgrades. For downgrades, consisted with prior studies, our results also showed negative abnormal returns for all practically all windows tested. Overall, our findings evidence the rating announcements do have information content, as it impacts stock returns causing abnormal returns, especially when they bring ‘bad news’ to the market.


2020 ◽  
Vol 12 (4) ◽  
pp. 495-529
Author(s):  
Mohamad Hassan ◽  
Evangelos Giouvris

Purpose This study Investigates Shareholders' value adjustment in response to financial institutions (FIs) merger announcements in the immediate event window and in the extended event window. This study also investigates accounting measures performance, comparison of post-merger to pre-merger, including several cash flow measures and not just profitability measures, as the empirical literature review suggests. Finally, the authors examine FIs mergers orientations of diversification and focus create more value for shareholders (in the immediate announcement window and several months afterward) and/or generates better cash flows, profitability and less credit risk. Design/methodology/approach This study examines FIs merger effect on bidders’ shareholder’s value and on their observed performance. This examination deploys three techniques simultaneously: a) an event study analysis, to estimate and calculate abnormal returns (ARs) and cumulative abnormal returns (CARs) in the narrow windows of the merger announcement, b) buy and hold event study analysis, to estimate ARs in the wider window of the event, +50 to +230 days after the merger announcement and c) an observed performance analysis, of financial and capital efficiency measures before and after the merger announcement; return on equity, liquidity, cost to income ratio, capital to total assets ratio, net loans to total loans, credit risk, loans to deposits ratio, other expenses and total assets, economic value addition, weighted average cost of capital and return on invested capital. Deal criteria of value, mega-deals, strategic orientation (as in Ansoff (1980) growth strategies), acquiring bank size and payment method are set as individually as control variables. Findings Results show that FIs mergers destroy share value for the bidding firms pursuing a market penetration strategy. Market development and product development strategies enable shareholders’ value creation in short and long horizons. Diversification strategies do not influence bidding shareholders’ value. Local bank to bank mergers create shareholders’ value and enhance liquidity and economic value in the short run. Bank to bank cross border mergers create value for bidders’ in the long term but are associated with high costs and higher risks. Originality/value A significant advancement over the current literature is in assessing mergers, not only for bank bidders but also for the three pillars FIs of the financial sector; banks, real-estate companies and investment companies mergers. It is an improvement over current finance literature because it deploys two different strategies in the analysis. At a univariate level, shareholder value creation and market reaction to merger announcements are examined over short (−5 or +5 days) and long (+230 days) windows of the event. Followed by regressing, the resultant CARs and BHARs over financial performance variables at the multivariate level.


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