The financial impact of retail store closure announcements

2017 ◽  
Vol 47 (6) ◽  
pp. 536-556 ◽  
Author(s):  
Jaideep Chowdhury ◽  
Sourish Sarkar
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Event Study ◽  
Retail Store ◽  
Financial Impact ◽  
Sales Growth ◽  
Content Type ◽  
Abnormal Stock Returns ◽  
The Impact ◽  
Closure Decisions

Purpose While store closure announcements frequently appear in newspapers, little is known about the financial impact of store closure decisions on the retailer’s market value. The purpose of this paper is to investigate the stock market reaction to the announcements of retail store closure decisions. Design/methodology/approach The authors collect data from news articles on store closure announcements in the USA during 1995-2016. Using the four-factor model in an event study, the authors compute the abnormal stock returns for the retail firms due to these announcements. Findings Based on the authors’ analysis for sample and matching control firms, the abnormal stock returns for store closure announcements are found to be positive overall. The authors find evidence that the positive effects of the announcements are stronger, particularly for the firms which have positive sales growth at the time of the announcements. The authors also report that industry competition acts as a negative moderator in the relationship between announcements and financial impacts. Practical implications The authors’ analysis implies the investors’ positive sentiment of store closure announcements as a viable cost-cutting strategy, especially when it is done proactively by better performing retailers. The findings should be useful to the supply chain managers of retail industries in making store closure decisions. Originality/value This paper is believed to be the first to address the impact of retail store closure announcements on the stock market. The authors’ approach of categorizing the firms based on their sales growth seems to be the first in the event study literature on corporate restructuring.

Abnormal stock returns in Greece during the Cypriot banking crisis

2016 ◽  
Vol 19 (2) ◽  
pp. 122-129 ◽  
Author(s):  
Spyridon Repousis
Keyword(s):  
Stock Returns ◽  
Event Study ◽  
Stock Prices ◽  
Stock Exchange ◽  
Banking Crisis ◽  
High Volume ◽  
Content Type ◽  
Abnormal Stock Returns ◽  
Athens Stock Exchange ◽  
The Impact

Purpose The purpose of this paper is to examine the impact of the Cypriot banking crisis in specific bank stocks’ prices traded in the Athens Stock Exchange. Design/methodology/approach In the present study, event study methodology has been used. The basis of the event study is to examine the returns derived from the stock prices of the relevant banks before March 15, 2013. Findings This study focuses on three banks, Bank of Cyprus, Cyprus Popular Bank and Piraeus Bank, and finds abnormal stock returns during the ten-day period before the event date (announcement of prohibition and put under suspension trading of all movable securities of Bank of Cyprus and Cyprus Popular Bank). Also, an interesting matter is that during the estimation period and in specific dates, such as October 18, 22 and 23, 2012, a high volume of stocks trading took place in Bank of Cyprus and Cyprus Popular Bank. Originality/value To the best of the author’s knowledge, this is the first study examining it.

A quantile regression approach to evaluate the relative impact of global and local factors on the MENA stock markets

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Slah Bahloul ◽  
Nawel Ben Amor
Keyword(s):  
Stock Market ◽  
Quantile Regression ◽  
Stock Returns ◽  
Stock Markets ◽  
Financial Integration ◽  
Ordinary Least Squares ◽  
Market Returns ◽  
Stock Market Returns ◽  
Content Type ◽  
The Impact

PurposeThis paper investigates the relative importance of local macroeconomic and global factors in the explanation of twelve MENA (Middle East and North Africa) stock market returns across the different quantiles in order to determine their degree of international financial integration.Design/methodology/approachThe authors use both ordinary least squares and quantile regressions from January 2007 to January 2018. Quantile regression permits to know how the effects of explanatory variables vary across the different states of the market.FindingsThe results of this paper indicate that the impact of local macroeconomic and global factors differs across the quantiles and markets. Generally, there are wide ranges in degree of international integration and most of MENA stock markets appear to be weakly integrated. This reveals that the portfolio diversification within the stock markets in this region is still beneficial.Originality/valueThis paper is original for two reasons. First, it emphasizes, over a fairly long period, the impact of a large number of macroeconomic and global variables on the MENA stock market returns. Second, it examines if the relative effects of these factors on MENA stock returns vary or not across the market states and MENA countries.

Do Indian stock market sentiments impact contemporaneous returns?

2018 ◽  
Vol 7 (3) ◽  
pp. 332-346
Author(s):  
Divya Aggarwal ◽  
Pitabas Mohanty
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Temporal Dynamics ◽  
Stock Exchange ◽  
Principal Component ◽  
Stock Index ◽  
Content Type ◽  
Investor Sentiments ◽  
Indian Stock Market ◽  
The Impact

Purpose The purpose of this paper is to analyse the impact of Indian investor sentiments on contemporaneous stock returns of Bombay Stock Exchange, National Stock Exchange and various sectoral indices in India by developing a sentiment index. Design/methodology/approach The study uses principal component analysis to develop a sentiment index as a proxy for Indian stock market sentiments over a time frame from April 1996 to January 2017. It uses an exploratory approach to identify relevant proxies in building a sentiment index using indirect market measures and macro variables of Indian and US markets. Findings The study finds that there is a significant positive correlation between the sentiment index and stock index returns. Sectors which are more dependent on institutional fund flows show a significant impact of the change in sentiments on their respective sectoral indices. Research limitations/implications The study has used data at a monthly frequency. Analysing higher frequency data can explain short-term temporal dynamics between sentiments and returns better. Further studies can be done to explore whether sentiments can be used to predict stock returns. Practical implications The results imply that one can develop profitable trading strategies by investing in sectors like metals and capital goods, which are more susceptible to generate positive returns when the sentiment index is high. Originality/value The study supplements the existing literature on the impact of investor sentiments on contemporaneous stock returns in the context of a developing market. It identifies relevant proxies of investor sentiments for the Indian stock market.

scholarly journals What does corporate social advocacy signal? Evidence from boycott participation decisions

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Pyemo N. Afego ◽  
Imhotep P. Alagidede
Keyword(s):  
Content Analysis ◽  
Stock Market ◽  
Event Study ◽  
Market Valuation ◽  
Social Advocacy ◽  
Content Type ◽  
Political Issues ◽  
Stock Market Valuation ◽  
Corporate Social ◽  
The Impact

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.

Investor attention and market correction

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zhongdong Chen
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Trading Behavior ◽  
Investor Attention ◽  
Information Effect ◽  
Content Type ◽  
Economic Significance ◽  
New Information ◽  
Positive Volume ◽  
The Impact

PurposeThis study disentangles the investor-base effect and the information effect of investor attention. The former leads to a larger investor base and higher stock returns, while the latter facilitates the dissemination of information among investors and impacts informational trading.Design/methodology/approachUsing positive volume shocks as a proxy for increased investor attention, this study evaluates the impacts of the investor-base effect and the information effect of investor attention on market correction following extreme daily returns in the US stock market from 1966 to 2018.FindingsThis study finds that the investor-base effect increases subsequent returns of both daily winner and daily loser stocks. The information effect leads to economically less significant return reversals for both the daily winner and daily loser stocks. These two effects tend to have economically more significant impacts on the daily loser stocks. The economic significance of these two effects is also related to firm size and the state of the stock market.Originality/valueThis study is the first to disentangle the investor-base effect and the information effect of increased investor attention. The evidence that the information effect facilitates the dissemination of new information and impacts stock returns contributes to the strand of studies on the impact of investor attention on market efficiency. This evidence also contributes to the strand of studies analyzing the impact of informational trading on stock returns. In addition, this study provides evidence for market overreaction and the subsequent correction. The results for up and down markets contribute to the literature on the investors' trading behavior.

Herding behavior in Islamic GCC stock market: a daily analysis

2018 ◽  
Vol 11 (2) ◽  
pp. 182-193 ◽  
Author(s):  
Mustapha Chaffai ◽  
Imed Medhioub
Keyword(s):  
Stock Market ◽  
Quantile Regression ◽  
Financial Markets ◽  
Stock Returns ◽  
Stock Markets ◽  
Content Type ◽  
Quantile Regression Analysis ◽  
Herd Behaviour ◽  
The Impact ◽  
Quantile Regression Method

Purpose This paper aims to examine the presence of herd behaviour in the Islamic Gulf Cooperation Council (GCC) stock markets following the methodology given by Chiang and Zheng (2010). Generalized auto regressive conditional heteroskedasticity (GARCH)-type models and quantile regression analysis are used and applied to daily data ranging from 3 January 2010 to 28 July 2016. Results show evidence of herd behaviour in the GCC stock markets. When the data are divided into down and up market periods, herd information is found to be statistically significant and negative during upward market periods only. These results are similar to those reported in some emerging markets such as China, Japan and Hong Kong, where stock returns perform more similarly during down market periods and differently during rising markets. Design/methodology/approach The authors present a brief literature on herd behaviour. Second, the authors provide some specificity of the GCC Islamic stock market, followed by the presentation of the methodology and the data, results and their interpretation. Findings The authors take into account the difference existing in market conditions and find evidence of herding behaviour during rising markets only for GCC markets. This result was confirmed after using the quantile regression method, as evidence of herding was observed only in highly extreme periods. Stock returns perform more similarly when market is down in Islamic GCC stock market. Research limitations/implications The research limitation consists in the fact that this work can be extended to compare the GCC stock markets with other markets in Asia such as Malaysia and Indonesia. Practical implications The principal implication consists in the fact that herding behaviour is limited in the GCC markets and Islamic finance can have an important contribution to moderate the behaviour in the financial markets. Social implications The work focusses on the role of ethics in the financial markets and their ability to reduce the impact of behavioural biases. Originality/value The paper studies the behaviour of investors in the Islamic financial markets and gives an idea about the importance of the behaviour in this particular market regarding its characteristics.

Market effects of SEC regulation of short-term borrowing disclosure

2016 ◽  
Vol 12 (5) ◽  
pp. 529-557 ◽  
Author(s):  
Trevor C. Chamberlain ◽  
Abdul-Rahman Khokhar ◽  
Sudipto Sarkar
Keyword(s):  
Stock Returns ◽  
Event Study ◽  
Market Reaction ◽  
Short Term ◽  
Content Type ◽  
Financial Firms ◽  
Announcement Date ◽  
Abnormal Stock Returns ◽  
Expected Benefits ◽  
Sec Regulation

Purpose The purpose of this paper is to offer an alternative approach to measure the cost-benefit tradeoff, by analyzing stockholders’ reactions to the announcement and vote on the proposed rule. More specifically, the authors use event study methodology to investigate the stock price reaction on two key dates; that is, the announcement date and the voting date of the proposed short-term borrowing disclosure regulation, and argue that positive abnormal stock returns indicate that the expected benefits of the regulation outweigh the compliance costs. A negative reaction would indicate that, in the eyes of investors, the costs of compliance exceed the expected benefits. Design/methodology/approach The authors use event study analysis and apply the market model to equal-weighted portfolios of 2,450 financial and 3,985 non-financial US firms to calculate mean cumulative abnormal stock returns (MCARs, hereafter) on the announcement and voting dates. Then, the authors conduct mean difference tests on firm-level MCARs across three event windows, that is, (−30,−1), (0,+1) and (+2,+30), to confirm if the MCARs of financial firms are different from those of non-financial firms on both the announcement and the voting dates. Finally, robustness tests are performed with alternate benchmark, using value-weighted portfolios, for the market. Findings The authors find that the market reaction is positive and significant at the announcement date and negative and significant at the voting date of the proposed regulation of short-term borrowing disclosure regulation. Overall, the paper documents a positive market reaction, indicating the usefulness of the disclosure from the vantage point of users. Examining and comparing the results for various subsets, including commercial banks and saving institutions, bank holding companies, size quartiles, and exchange listed and OTC registrants, the authors find that a “one-size-fits-all” approach to regulation is undesirable. Originality/value This is first empirical study, to best of the authors’ knowledge, to explore stockholder reaction to a proposed, rather than an enforced, Securities and Exchange Commission (SEC) regulation and may contribute to the SEC’s final decision on the rule. Second, given a dissimilar reaction from investors of different firms, the results suggest that the SEC needs to reconsider its one-size-fit-all approach for the proposed rule. Finally, because the proposed disclosure would affect all SEC registrants, the economic implications of the findings are important not only for stockholders, but also for regulators, as they attempt to manage systematic risk and optimize the level of market intervention.

scholarly journals The information content of US stock market factors

2020 ◽  
Vol 37 (2) ◽  
pp. 323-346
Author(s):  
Mohammed M. Elgammal ◽  
Fatma Ehab Ahmed ◽  
David G. McMillan
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Information Content ◽  
Predictive Power ◽  
Output Growth ◽  
Economic Conditions ◽  
Content Type ◽  
Economic Information ◽  
Market Factors ◽  
The Impact

Purpose The purpose of this paper is to consider the economic information content within several popular stock market factors and to the extent to which their movements are both explained by economic variables and can explain future output growth. Design/methodology/approach Using US stock portfolios from 1964 to 2019, the authors undertake three related exercises: whether a set of common factors contain independent predictive ability for stock returns, what economic and market variables explain movements in the factors and whether stock market factors have predictive power for future output growth. Findings The results show that several of the considered factors do not contain independent information for stock returns. Further, most of these factors are neither explained by economic conditions nor they provide any predictive power for future output growth. Thus, they appear to contain very little economic content. However, the results suggest that the impact of these factors is more prominent with higher macroeconomic risk (contractionary regime). Research limitations/implications The stock market factors are more likely to reflect existing market conditions and exhibit a weaker relation with economic conditions and do not act as a window on future behavior. Practical implications Fama and French three-factor model still have better explanations for stock returns and economic information more than any other models. Originality/value This paper contributes to the literature by examining whether a selection of factors provides unique information when modelling stock returns data. It also investigates what variables can predict movements in the stock market factors. Third, it examines whether the factors exhibit a link with subsequent economic output. This should establish whether the stock market factors contain useful information for stock returns and the macroeconomy or whether the significance of the factor is a result of chance. The results in this paper should advance our understanding of asset price movement and the links between the macroeconomy and financial markets and, thus, be of interest to academics, investors and policy-makers.

The effect of weather on the European stock market

2016 ◽  
Vol 43 (9) ◽  
pp. 943-958 ◽  
Author(s):  
Nikolaos Sariannidis ◽  
Grigoris Giannarakis ◽  
Xanthi Partalidou
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Negative Impact ◽  
Weather Variables ◽  
Socially Responsible ◽  
Content Type ◽  
Daily Data ◽  
Macroeconomic Indicators ◽  
Significant Negative Impact ◽  
The Impact

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.

scholarly journals Impact of gold and oil prices on the stock market in Pakistan

2020 ◽  
Vol 25 (50) ◽  
pp. 279-294
Author(s):  
Aiza Shabbir ◽  
Shazia Kousar ◽  
Syeda Azra Batool
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Stock Exchange ◽  
Structural Break ◽  
Oil Prices ◽  
Current Data ◽  
Small Sample ◽  
Data Set ◽  
Content Type ◽  
The Impact

Purpose The purpose of the study is to find out the impact of gold and oil prices on the stock market. Design/methodology/approach This study uses the data on gold prices, stock exchange and oil prices for the period 1991–2016. This study applied descriptive statistics, augmented Dickey–Fuller test, correlation and autoregressive distributed lag test. Findings The data analysis results showed that gold and oil prices have a significant impact on the stock market. Research limitations/implications Following empirical evidence of this study, the authors recommend that investors should invest in gold because the main reason is that hike in inflation reduces the real value of money, and people seek to invest in alternative investment avenues like gold to preserve the value of their assets and earn additional returns. This suggests that investment in gold can be used as a tool to decline inflation pressure to a sustainable level. This study was restricted to use small sample data owing to the availability of data from 1991 to 2017 and could not use structural break unit root tests with two structural break and structural break cointegration approach, as these tests require high-frequency data set. Originality/value This study provides information to the investors who want to get the benefit of diversification by investing in gold, oil and stock market. In the current era, gold prices and oil prices are fluctuating day by day, and investors think that stock returns may or may not be affected by these fluctuations. This study is unique because it focusses on current issues and takes the current data in this research to help investment institutions or portfolio managers.

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