I investigate the stock market's reaction to events related to the Public Company Accounting Oversight Board's (PCAOB) development and enactment of Auditing Standard No. 5 (AS 5). The change from Auditing Standard No. 2 (AS 2) to AS 5 was debated in the business press at length. The PCAOB stated that the goal of AS 5 was to reduce the prohibitive costs of the Sarbanes-Oxley Act of 2002 - Section 404 and AS 2 (Krishnan et al. 2008) while maintaining the effectiveness of the internal control audits required by those policies. However, there was concern that internal control audit quality would decrease under AS 5. My study examines how investors perceived this change by considering stock market reaction around 10 event dates related to PCAOB and Securities and Exchange Commission (SEC) actions with regard to the development and enactment of AS 5. I find evidence that the market's reaction to key AS 5 events was significantly negative, which is consistent with investors perceiving AS 5 as a significant decrease in internal control audit quality. I also study these investor reactions cross-sectionally to further examine the two potential effects of AS 5 (decrease in compliance costs and decrease in internal control audit quality) and how they relate to firm characteristics (size, complexity, litigation risk, and fraud risk). I find evidence consistent with my main finding: investors' perceived increase in information risk under AS 5 is apparent when considering firm characteristics. Finally, I consider ex-post financial reporting quality under AS 5 and find no significant change in financial reporting quality compared to under AS 2. This study contributes to accounting research by being the first to study the stock market's perception of this significant policy change archivally and the first to consider the effectiveness of AS 5 with regard to financial reporting quality.

This study was designed to examine the impact of different levels of reporting frequency (periodic versus continuous) of financial information, both with and without assurance, on individual investors in a stock price prediction task. Reporting was manipulated at two levels: periodic and continuous. Assurance was manipulated at two levels: no assurance and with assurance. In addition, a base level condition was included. The experiment was designed to collect data regarding both the investors' performance and their perceptions. Period one of the experiment consisted of the base level condition for all participants. Independent variable manipulation was implemented in period two, using a 2 X 2 design. The results indicated that the main effect of Assurance was significant with regard to the number of times participants correctly predicted the change in stock price direction (PREDICTION). The results of the analysis also indicated that the interaction of Reporting and Assurance was significant with regard to the number of times participants made stock price change predictions in accordance with an expectation of mean-reverting stock prices (TRACKING). Post hoc analysis on TRACKING indicated that increased levels of reporting frequency and assurance could adversely affect the quality of individual investors' investment decisions. The results indicated that increased levels of reporting and assurance were not significant with regard to individual investors' perception of source credibility, information relevance or information value. Post hoc analysis provided some evidence that increased levels of reporting frequency may lead to an increase in the perceived trustworthiness of the source of the information and investors may be willing to pay more for the stock of a company that provided increased levels of reporting of fundamental financial data.

Includes abstract. Includes bibliographical references.

Researchers in various business disciplines use the event study methodology to assess the market value of firms through capital market reaction to news in the public media about the firm's activities. Capital market reaction is assessed based on cumulative abnormal return (sum of abnormal returns over the event window). In this study, the event study methodology is used to assess the impact that two important information technology activities, Internet security breach and ecommerce initiative, have on the market value of firms. While prior research on the relationship between these business activities and cumulative abnormal return involved the use of regression analysis, in this study, we use decision tree induction and regression.For the Internet security breach study, we use negative cumulative abnormal return as a surrogate for damage to the breached firm. In contrast to what has been reported in the research literature, our results suggest that the relationship between cumulative abnormal return and the independent variables for both the Internet security breach and ecommerce initiative studies is complex, often involving conditional interactions between the independent variables. We report that the incomplete contract theory is unable to effectively explain the relationship between cumulative abnormal return and the organizational variables. Other ecommerce theories provide support to the findings from our analysis. We show that both attack and firm characteristics are determinants of damage to breached firms.Our results revealed that the use of decision tree induction presents additional insight to that provided by regression models. We illustrate that there is value in using data mining techniques to study the market value of e-commerce initiative and Internet security breach and that this approach has applicability in other domains and that Decision Tree can enhance the event study methodology.We demonstrate that Decision Tree induction can be used for both theory building and theory testing. We specifically employ Decision Tree induction to test and enhance ecommerce theories and develop a theoretical model for cumulative abnormal return and ecommerce. We also present theoretical models for Internet security breach and damage to the breached firm. These models can be used by decision makers in Internet security and ecommerce investments strategic formulations and implementations.