Jeffrey J. Tsay
University of Texas at Arlington
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Publication
Featured researches published by Jeffrey J. Tsay.
Journal of International Financial Management and Accounting | 2012
Chandra Subramaniam; Jeffrey J. Tsay
On December 18, 2003 the Accounting Standards Board of Canada announced that all firms registered in Canada would be required to expense stock options‐based compensation effective January 1, 2004. While a few firms had voluntarily opted to expense stock options prior to this date, the vast majority of firms had not. This study investigates the market reaction to this announcement by listed firms in the Toronto Stock Exchange that continued to disclose option expense rather than report it in the financial statement. We find no average market reaction by our sample firms affected by this mandate around the announcement date, but a significantly negative market reaction during the 5‐day window around the issuance date of the exposure draft. However, in cross‐sectional tests around the mandated expense announcement date, we find a significant negative relationship between the cumulative abnormal returns and the Black–Scholes value (and number) of options outstanding and of options granted the previous year. These results suggest that the magnitude of the market reaction to the mandated expense announcement is related to the firms usage of options. Our results provide further evidence that stock prices may not fully impound information disclosed in footnotes.
Journal of Computer Information Systems | 2016
Roberta Ann Jones; Jeffrey J. Tsay; Kenneth A. Griggs
The creation of a properly descriptive information systems model is essential to system development. In turn, the choice of a diagramming technique is critical to the success of the model building effort. This begs the question of diagramming efficacy. Does diagramming work well as a systems modeling tool? If so, which techniques are best? This paper provides an empirical basis for answering these questions. The investigation described in the paper consists of an examination of the degree of task specific relative strength among various techniques consisting of Data Flow Diagrams (DFD), Process Maps (PM), Flowcharts (FC), Resources, Events, and Agents Diagram (READ), and Unified Modeling Language Activity Diagram (UMLAD). Experimental results indicated that UMLAD was superior in process analysis when compared to other techniques, the READ technique was superior in database modeling when compared to other techniques, and DFD was superior in data analysis when compared to other techniques.
Review of Accounting and Finance | 2014
Jap Efendi; Li-Chin Jennifer Ho; Jeffrey J. Tsay; Yu Zhang
Purpose - – The purpose of this paper is to examine whether firms manage the total value of stock option grants downward after the implementation of Statement of Financial Accounting Standards (SFAS) 123R to reduce their reported option expenses. Design/methodology/approach - – All Standard & Poor’s (S&P) 1500 firms with available stock option data in 2004 and 2006 are included in the analysis. The authors analyze if the total value of options granted, the per share fair value of options granted, the number of options granted as well as each individual input assumption have changed from the pre-SFAS 123R (i.e. 2004) to the post-SFAS 123R (i.e. 2006) period. We compare post-SFAS123R option pricing assumptions and per share fair value of options granted with their respective expected values to verify the results. We also analyze whether SFAS 123R has differential effects on firms which chose to disclose option expense only in footnotes (“disclosing firms”) versus firms which voluntarily recognized option expense (“recognizing firms”) prior to SFAS 123R. Findings - – The results show that after SFAS 123R, the total fair value of stock options granted for disclosing firms declined significantly. The decrease appears to result from managerial discretion over volatility and dividend yield assumptions as well as the reduction in the number of options granted. The evidence suggests that firms engage in not only assumption-based manipulations but also real activities to lower reported stock option expenses. It was also found that disclosing firms lower the total fair value of stock options granted to a greater extent than recognizing firms. Originality/value - – This study adds to prior literature that examines the opportunistic incentives for managers to use discretion in reporting stock option expenses. This study contributes to the earnings management literature by providing another example of manipulating earnings through real activities. Finally, our study should be of interest to regulators and investors.
Review of Quantitative Finance and Accounting | 2001
Li-Chin Jennifer Ho; Jeffrey J. Tsay
Prior studies show that the beta coefficient of a security changes systematically as the length of measurement interval is varied. This phenomenon, which is called the intervalling effect bias in beta, has been attributed to the friction in the trading system that causes the delays in the price-adjustment process. This study shows that option listing is associated with a decline in the beta intervalling effect bias. The decline is most pronounced for small firms. We also find that our sample firms grow significantly after option listing. Since prior research indicates that market value is a major determinant of the magnitude of the intervalling effect, we re-examine our results using a subsample that controls for market value. The results indicate that the decline in the beta bias from the pre-listing to post-listing period is still prevalent after we control for the change in firm size. Overall, the evidence is consistent with the notion that option trading reduces the delays in the price-adjustment process, which in turn reduces the intervalling effect bias in beta.
Review of Pacific Basin Financial Markets and Policies | 2004
Li-Chin Jennifer Ho; Jeffrey J. Tsay
Journal of Financial Research | 1988
Thomas W. Hall; Jeffrey J. Tsay
Auditing-a Journal of Practice & Theory | 2010
Lucas A. Hoogduin; Thomas W. Hall; Jeffrey J. Tsay
business information systems | 2011
Roberta Ann Jones; Jeffrey J. Tsay; Kenneth A. Griggs
Auditing-a Journal of Practice & Theory | 2015
Lucas A. Hoogduin; Thomas W. Hall; Jeffrey J. Tsay; Bethane Jo Pierce
Archive | 1996
Li-Chin Jennifer Ho; Chao-Shin Liu; Jeffrey J. Tsay