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Reviews previous research based on event study methodology, pointing out that events can influence returns in many ways, and applies the method to a sample of mergers and acquisitions in the thinly traded Norwegian market 1983‐1994. Explains how the classic market model can be adjusted to control for non‐synchronous trading and changing/asymmetric volatility; and how the event and non‐event periods can be combined into a single model. Applies two different models to the data, compares the results and finds the ARMA‐GARCH approach superior to the OLS. Discusses the implications of this for researchers.

This study develops and tests a theoretical research model delineating the relationships between consumers' patriotism and their response to patriotic advertising and the advertised brand, and examines if the research model has the same pattern across different sporting events. Structural Equation Modeling is employed to test the model by using data collected from three different sporting event contexts. The results provide empirical evidence of the positive influence of consumers' patriotism on attitudes towards patriotic advertising and brands in sporting event contexts. A direct effect of patriotism on sports event involvement is found in international mega-sporting events but not in a domestic (or national) sporting event.

With computer technology fast becoming the engine that drives productivity, IT systems have become more pervasive in the daily operations of many businesses. Large, as well as small, businesses in the USA now rely heavily on IT systems to function effectively and efficiently. However, past studies have shown CEOs do not always understand how reliant their business is on IT systems. To the authors’ knowledge, no research has not yet examined if financial markets understand how IT affects the performance of businesses. The paper aims to discuss these issues.

In this study, the authors utilize the event study method to examine how financial markets interpret weaknesses in businesses IT systems. The authors examine this in the context of the Sarbanes-Oxley Act – Section 404 requirements and utilize the internal reporting requirement in the annual financial statement filing with the Securities Exchange Commission as a proxy to evaluate how the financial markets interpret IT weaknesses.

Using an event study, the authors show that the market does not necessarily understand and respond to the effects of IT weaknesses on overall financial performance of firms and thus challenge the efficient market hypothesis theory.

A second contribution is methodological in nature. IS researchers thus far have been using limited market benchmarks, statistical tests, and event windows in their respective event studies of market performance. This study shows shortcomings of that approach and the necessity of expanding usage of available event analysis tools. The authors show that using more than one market benchmark and statistical test across multiple time frames uncovers the effects that using a single benchmark and test over a single window would have overlooked.

The aim of this study was to integrate the hierarchical model of the perceived service quality (PSQ) theory with the bottom-up theory of satisfaction. It was hypothesised that satisfaction with sporting events would mediate the relationship between PSQ and life satisfaction. Study 1 was conducted to translate the Perceived Service Quality questionnaire (PSQQ) (Brady & Cronin, 2011) into Chinese and to validate it for sporting events. Study 2 was conducted to examine the main hypothesis. The results indicated that satisfaction-withevent partially mediated the relationship between PSQ and life satisfaction. The results are discussed in terms of both the examined theories.

This paper reports preliminary evidence on pre to post‐event shifts in the estimated values of the parameters, alpha and beta, of the simple regression market model. Samples, of US and British firms engaged in cross‐country acquisition, during the period 1970–1980 are examined. Using pre, pooled, and post‐event estimation periods, both alpha and beta show pronounced shifts in estimated value from the pre to the post‐event period. It is shown that these parameter shifts result in companion shifts in estimated pre to post‐even excess residual estimates. It is further shown, in the context of the market model, that shifts in alpha value account for approximately 80% of the shifts in excess residual estimates. Shifts in estimated beta account for only approximately 20% of the changes in estimated excess residuals. This result is interesting in regard to the results reported in most of the event study literature, which primarily consider only beta estimates.

This paper aims to investigate the impact of the introduction of the 2004 bank capital requirements on the quoted stock prices on the Nigerian stock market.

Using monthly data over the period January 1986 to December 2006, residual analysis methodology was used to investigate stock price reaction to the 2004 bank capital requirements on the Nigerian stock market.

The results show that the introduction of the 2004 bank capital requirements has a positive impact on quoted securities on the Nigerian stock market. This is reflected in positive abnormal returns from the Nigerian stock market when trading is based on the information from the 2004 bank capital requirements. The results are unaffected by the choice of model. This lends support for the work of Olowe that the Nigerian stock market is inefficient in the semi‐strong form.

This study provides evidence on the stock price reaction to the introduction of the 2004 bank capital requirements on the Nigerian stock market. The result will have implications for the semi‐strong form efficiency of the Nigerian stock market.

Today, information systems and technology provides a wide set of tools for companies to increase the efficiency of their businesses. Although technology offers many benefits to businesses, it also brings risks as the information systems security breaches. Security breaches and their financial impact is a constant concern of the researchers and practitioners. This paper explores information systems breaches and their financial impacts on the publicly traded companies in different sectors.

After a comprehensive data collection process, data from 192 events are analyzed by employing Event Study Methodology and a comparison of the results between the four highly affected sectors (Consumer Goods, Technology, Financial and Communications) is presented. The abnormal returns on the prices of stocks after the events are calculated with the Market Model. Also, the results of the Market Adjusted Model and Mean Adjusted Model are presented to support the results.

While information systems security breaches have a significant negative impact on the Financials and the Technology sectors for all the event windows in the study ([−5, 0], [−5, 1], [−5, 5], and [−5, 10]), the significant negative impact is observed only on the [−5, 5] and [−5, 10] event windows for the Consumer Goods sector. No significant negative impact is observed in the Communications sector, in fact, the cumulative abnormal returns are positive for this sector.

The contribution of this paper to provide evidence about the financial impacts of the information systems breaches for businesses in different sectors. While there are studies that have previously focused on the information systems breaches and their financial impacts on businesses, to the best of our knowledge, this is the first study that compares this effect between the four highly impacted sectors. With a relatively larger sample size and broader event windows than the past studies in the literature, statistical evidence is provided to managers to justify their investments in information security and build preventive measures to secure the market value of their firms.

The purpose of this paper is to provide insight to practitioners who wish to forecast market returns based on event occurrences.

Using 64 distinct events that reoccurred from 2007 to 2016 in six different nations of both developing and developed economies, this study used an event study methodology to test whether or not sentiment impacted market returns.

This study found that investor sentiment did impact market returns. Furthermore, events that were in developed economies or were negative impacted the market returns more than events that are in developing economies or positive. The study also provides important information on the speed of price adjustment to new information. The events selected include festive holidays, bombings, natural disasters and sports matches, among other events which had been found to alter mood. This paper also found no empirical difference between using the statistical mean and economic capital asset pricing models. However, the Wilcoxon rank test did provide more significant events than the more conservative Corrado rank test.

Most comprehensive investor sentiment impact on market returns paper using an event study methodology. The results have implications for those who wish to forecast market returns based on event occurrences.

The purpose of this paper is to examine the reaction to earnings announcements in a small stock market.

The paper uses the traditional event study method to examine the information content of annual earnings announcements in the small Danish stock market from 1999‐2004.

The paper finds abnormal volatility in the days surrounding the announcements, indicating that they contain relevant information for the stock market. The abnormal volatility persists several days after the announcement, suggesting that the information environment of this small stock market works to decrease the speed of adjustment. In addition to this sign of inefficiency, the paper finds significant positive abnormal returns accompanying the announcements. These results are robust across various methodologies. Surprisingly, the paper finds a positive correlation between the information content and predisclosure information. This contradicts previous studies, and it is interpreted as evidence of a low level of pre‐announcement information. Confirming the results of similar studies, the paper finds that unexpected earnings are best proxied using a model based on consensus analyst forecasts.

This paper contributes to the existing literature by analyzing the information content of earnings announcements in a small stock market with accounting standards that are congruent with the International Accounting Standards.