Discussion on Noisy Accounting Earnings Signals and Earnings Response Coefficients

Download or read book Discussion on Noisy Accounting Earnings Signals and Earnings Response Coefficients written by Jennifer L. Kao and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper extends the growing literature on factors affecting cross-sectional and intertemporal variation in earnings response coefficients. It tests the empirical implications of recent theoretical work by Choi and Salamon (1989) and Holthausen and Verrecchia (1988), who model the degree of price adjustment associated with earnings announcements as a function of the amount of noise or garbling in the accounting earnings signal relative to valuation-relevant cash flows or dividends. The particular earnings measurements considered relate to U.S. multinational companies and to the differences in income determination under Statement of Financial Accounting Standards (SFAS) No. 8 and SFAS No. 52. The study finds a modestly smaller relative price adjustment for a given amount of unexpected earnings for multinational firms than for nonmultinationals during the SFAS No. 8 period. This finding is consistent with multinationals producing "noisier" earnings signals during this time period. However, several indirect measures suggest that there was greater prior probability uncertainty associated with the future cash flows or dividends of the nonmultinational sample. Accordingly, this cannot be ruled out as a competing explanation for the observed differences in the market's response to earnings signals during the SFAS No. 8 period. Following the implementation of SFAS No. 52, the earnings response coefficient increased substantively for firms whose accounting for translation gains or losses was most affected by this standard. These results suggest that the earnings measurements produced under SFAS No. 52 were perceived by market participants to be of higher quality (less noisy) than those produced under SFAS No. 8. The framework and analysis in this paper hold promise for investigating the relative informativeness of earnings signals produced under alternative income determination rules.