scholarly journals The Stock Market’s Reaction to Unanticipated Catastrophic Event

2020 ◽  
Vol 5 (2) ◽  
pp. 77-90
Author(s):  
Dipendra Karki

Several factors influence the stock market; they trigger market over-or under-reactions. The paper aims to identify the effect of a major catastrophic event on stock returns. For this, daily data of stock market indices was used with a total of 210 observations and the effect of catastrophic event, Nepal Earthquake 2015, was tested using the method of event analysis for different event windows. The catastrophic event did not affect stock returns significantly and was resilient to earthquake-induced shocks. The event window (+2, +10) shows the higher and positive abnormal returns which depicts that the market has recovered from the shock in as many as three days. The study shows that stock market in Nepal is semi-strongly inefficient.

2021 ◽  
Vol 14 (2) ◽  
pp. 89
Author(s):  
Tihana Škrinjarić ◽  
Branka Marasović ◽  
Boško Šego

This paper explores mood anomalies, specifically the seasonal affective disorder (SAD) effect on the Zagreb Stock Exchange (ZSE). SAD is defined as a syndrome of depressive episodes in human behavior due to the changing of the season. Thus, the motive of this research is to gain better insights into the investors’ sentiment regarding SAD effects. The purpose of the research is to observe how investors’ sentiment affects the return and risk series on ZSE and if this could be exploitable. Using daily data on stock market return CROBEX for the period January 2010—February 2021, SAD effects are tested to explore if seasonal changes affect the stock returns and risk. Besides the SAD variable in the model, some control variables are included as well: Monday, tax, and COVID-19 effect. The results indicate that SAD effects exist on ZSE, even with controlling for mentioned effects; and asymmetries around winter solstice exist. Implications of such findings can be found in simulating trading strategies, which could incorporate such information to gain profits. Limitations of the research focus on one market, observing static parameters of the estimated models, and observing simple trading strategies. Thus, future research should focus on international diversification possibilities, time-varying models, and fully exploring the exploitation possibilities of such findings.


2019 ◽  
Vol 16 (1) ◽  
pp. 334-345 ◽  
Author(s):  
Guglielmo Maria Caporale ◽  
Alex Plastun ◽  
Inna Makarenko

This paper examines reactions in the Ukrainian stock market to force majeure events, which are divided into four groups: economic force majeure, social force majeure, terrorist acts, natural and technological disasters. More specifically, using daily data for the main Ukrainian stock market index (namely PFTS) over the period from January 1, to December 31, 2018 this study investigates whether or not force majeure events create (temporary) inefficiencies and there exist profitable trading strategies based on exploiting them. For this purpose, cumulative abnormal returns and trading simulation approaches are used in addition to Student’s t-tests. The results suggest that the Ukrainian stock market absorbs new information rather fast. Negative returns in most cases are observed only on the day of the event. The only exception is technological disasters, the market needing up to ten days to react fully in this case. Despite the presence of a detectable pattern in price behavior after force majeure events (namely, a price decrease on the day of the event) no profitable trading strategies based on it are found as their outcomes do not differ from those generated by random trading.


2015 ◽  
Vol 23 (2) ◽  
pp. 155-182 ◽  
Author(s):  
Jun Sik Kim ◽  
Sung Won Seo

This paper investigates the effect of the short sale ban by the Korean government on the relationship between the disagreement among investors and the future stock returns. Short selling in Korean stock market was banned twice in 2008 and 2011. The short sale ban provides a natural experiment environment to study the effect of the short sale constraints on the relationship between the disagreement among investors and the future stock returns. Furthermore, it is an exogenous shock in the point of individual stocks. Thus, this paper focus on short sale ban periods to analyzes the stock return predictability of the disagreement among investors’ opinions about analysts’ earnings forecasts. Main results of this paper are as follows: First, the portfolio within the top 30% of the disagreement among investors experiences the significantly higher returns than that within the bottom 30% of the disagreement only during short sale ban periods. However, the two portfolio returns are not significantly different during the other periods excluding the short sale ban periods. These results are robust even after controlling for firm sizes, boot to market ratios, and the momentum effects. Second, a portfolio with higher the disagreement among investors presents significantly positive abnormal returns estimated by Fama-French’s three factor model during short sale ban periods. On the other hand, the abnormal returns of the portfolio with lower the disagreement among investors are not significantly different from zero. Furthermore, those returns of the portfolio with lower disagreement are not affected by the short sale ban. Finally, our findings show that individual stock returns are positively related to disagreement after controlling for the characteristics of individual stocks. Consequentially, the stocks with higher disagreement are overvalued during the short sale ban periods according to our robust empirical analyses with various control variables. According to our findings, we conclude that the short sale constraints are important factors to determine the predictability of disagreement on future stock returns. These are consistent with the results of short sale ban on the U.S. stock market from Autore, Billingsley, and Kovacs (2011).


2019 ◽  
Vol 4 ◽  
pp. 32-47
Author(s):  
Jeetendra Dangol ◽  
Ajay Bhandari

The study examines the stock returns and trading volume reaction to quarterly earnings announcements using the event analysis methodology. Ten commercial banks with 313 earnings announcements are considered between the fiscal year 2010/11 and 2017/18. The observations are portioned into 225 earning-increased (good-news) sub-samples and 88 earning-decreased (bad-news) sub-samples. This paper finds that the Nepalese stock market is inefficient at a semi-strong level, but there is a strong linkage between quarterly earnings announcement and trading volume. Similarly, the study provides evidence of existence of information content hypothesis in the Nepalese stock market.


2016 ◽  
Vol 43 (9) ◽  
pp. 943-958 ◽  
Author(s):  
Nikolaos Sariannidis ◽  
Grigoris Giannarakis ◽  
Xanthi Partalidou

Purpose The purpose of this paper is to ascertain whether weather variables can explain the stock return reaction on the Dow Jones Sustainability Europe Index by employing a number of macroeconomic indicators as control variables. Design/methodology/approach The authors incorporate the generalized autogressive conditional heteroskeasticity model in methodology for the period August 26, 2009 to May 30, 2014 using daily data. Findings The empirical results indicate that not only do changes in humidity and wind levels seem to affect positively the European stock market but changes in returns oil and gold prices as well. However, the results show that the volatility of the US dollar/Yen exchange rate and ten-year bond value exerts significant negative impact on companies’ stock returns. Originality/value This study adds to the international literature by documenting the impact of weather variables on socially responsible companies.


2015 ◽  
Vol 49 (5/6) ◽  
pp. 827-850 ◽  
Author(s):  
Chi-Lu Peng ◽  
Kuan-Ling Lai ◽  
Maio-Ling Chen ◽  
An-Pin Wei

Purpose – This study aims to investigate whether and how different sentiments affect the stock market’s reaction to the American Customer Satisfaction Index (ACSI) information. Design/methodology/approach – The portfolio approach, with time-varying risk factor loadings and the asset-pricing models, is borrowed from the finance literature to investigate the ACSI-performance relationship. A direct sentiment index is used to examine how investors’ optimistic, neutral and pessimistic sentiments affect the aforementioned relation. Findings – This paper finds that customer satisfaction is a valuable intangible asset that generates positive abnormal returns. On average, investing in the Strong-ACSI Portfolio is superior to investing in the market index. Even when the stock market holds pessimistic beliefs, investors can beat the market by investing in firms that score well on customer satisfaction. The out-performance of our zero-cost, long–short ACSI strategy also confirms the mispricing of ACSI information in pessimistic periods. Research limitations/implications – Findings are limited to firms covered by the ACSI data. Practical implications – Finance research has further documented evidence of the stock market under-reacting to intangible information. For example, firms with higher research and development expenditures, advertising, patent citations and employee satisfaction all earn superior returns. Literature also proves that investors efficiently react to tangible information, whereas they undervalue intangible information. In summary, combining our results and those reported in the literature, customer satisfaction is value-relevant for both investors and firm management, particularly in pessimistic periods. Originality/value – This study is the first to investigate how sentiment affects the positive ACSI-performance relationship, while considering the time-varying property of risk factors. This study is also the first to show that ACSI plays a more important role during pessimistic periods. This study contributes to the growing literature on the marketing–finance interface by providing better understanding of how investor emotional states affect their perceptions and valuations of customer satisfaction.


2013 ◽  
Vol 11 (1) ◽  
pp. 406-422 ◽  
Author(s):  
Ronald Henry Mynhardt ◽  
Alexey Plastun

This paper examines the short-term price reactions after one-day abnormal price changes on the Ukrainian stock market. The original method of abnormal returns calculation is examined. We find significant evidence of overreactions using the daily data over the period 2008-2012. Our analysis confirms the hypothesis that after an abnormal price movement the size of contrarian price movement is usually higher then after normal (typical) daily fluctuation. Comparing Ukrainian data with the figures from US stock market it is concluded that the Ukrainian stock market is less efficient which gives rise to opportunities for extra profits obtained from trading based on contrarian strategies. Based on results of the research we also recommend some rules of trading on short-term market overreactions.


2019 ◽  
Vol 5 (1) ◽  
pp. 43-54
Author(s):  
Tihana Škrinjarić

AbstractThis paper observes the short-run effects of stock market index composition changes on stock returns on the Zagreb Stock Exchange (ZSE). In that way, event study methodology is employed in order to estimate abnormal returns and compare them amongst three subsets of stocks: those leaving the market index, those entering it, and constantly included stocks. The research included 14 regular and extraordinary revisions of the market index in the period from January 2nd, 2015 until March 21st, 2018. The results have confirmed two research hypotheses: stock exclusions from the market index have a negative effect on stock returns on the ZSE, which is consistent with the price pressure hypothesis; and there exist asymmetric effects of index composition changes on stock returns. This is the first study of this kind on the Croatian stock market, thus more questions need to be answered in future research.


2021 ◽  
Author(s):  
Melissa Lynn Mandula

The purpose of this study is to examine the effects of ISO 14001 registration on corporate financial and environmental performance. The stock market's reaction to the ISO 14001 registration of a sample of Canadian firms is investigated. An analysis of the overall sample of companies revealed that there were no abnormal stock market returns experienced during a three day event window. However, abnormal returns were experienced when the companies were analyzed individually. The environmental performance component of this study investigated whether ISO 14001 registered facilities experience greater emission reductions than non-registered facilties within the Transportation Equipment Industries sector in Canada. The results of the analysis indicated that there was no difference between facilities that adopted ISO 14001 at differenct time periods and that the facilities that adopted ISO 14001 experienced an increase in aggregated weighed emissions.


2021 ◽  
Vol 4 (1) ◽  
pp. 28-37
Author(s):  
Ajeng Mugiarni ◽  
Permata Wulandari

The pandemic Covid-19 caused panic not only in health sectors but also weakened the world’s economy. The stock market, as one of the barometers of the economy, was hit by the pandemic Covid-19. The impact of Covid-19 on the stock market provides a signal for investors. Stock returns are what investors look for when investing in stocks. Returns on the stock exchange respond to several events, one of which is the news about health related to the Covid-19 pandemic. This study aims to seek whether the Covid-19 outbreak affects stock returns in Indonesia Stock Exchange. Using daily data of Covid-19 confirmed case, daily data of Covid-19 death cases, and stock returns data in Indonesia from January 2, 2020, to December 31, 2020. The panel-data regression model is used to estimate the result of the study. This study shows that stock returns in Indonesia Stock Exchange respond negatively significantly as the number of confirmed cases increases also stock returns in Indonesia respond negatively significantly to the daily growth of death cases. This study also finds that stock return in consumer goods and basic chemical industry were the impacted industries caused by pandemic Covid-19. Empirical findings could be used for the practitioner to consider investing in the stock market to avoid the significant impact of such outbreaks in the future.


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