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SFAS No. 115 requires firms to recognize available-for-sale (AFS) securities at fair value with accumulated unrealized gains and losses (AUGL) recorded in accumulated other comprehensive income. Firms reclassify AUGL to net income when they realize gains and losses. We refer to the amount reclassified each period by ''RECLASS.'' As of 1998, SFAS No. 130 requires firms to present RECLASS prominently in their financial statements. We investigate the incremental explanatory power of RECLASS for banks' market values and market-adjusted returns. In the market value analysis, we control for AUGL, other components of book value of equity, net income before extraordinary items and RECLASS (NIBEXother), and other components of comprehensive income. In the returns analysis, we control for DAUGL, DNIBEXother, and extraordinary items. We find high positive coefficients on RECLASS in both analyses, consistent with investors pricing RECLASS as a relatively permanent component of net income. Exploring possible explanations for these pricing implications, we find no evidence that they are attributable to RECLASS remedying unreliable fair value measurement of AUGL. We provide three distinct analyses indicating that RECLASS's pricing implications are explained in significant part by it helping investors predict banks' future performance. Our results illustrate that an important type of amortized cost accounting information, realized gains and losses, remains highly useful to investors despite the overall fair-value-accounting framework for AFS securities.

This paper examines the relation between information’s properties, such as reliability and relevance, and public disclosure policy. It shows that the optimal accounting system often involves a carefully balanced combination of mandatory and voluntary disclosure, with mandatory reporting focused on more reliable information. The emphasis on reliability causes the welfare-maximizing mandatory report to consistently lag behind the financial market in incorporating value-relevant information.

We study the immediate and delayed market reaction to U.S. Securities and Exchange Commission (SEC) EDGAR 10-K filings. Unusual trading volumes and stock-price movements are documented during the days around the 10-K filing dates. The abnormal price movements are positively associated with future accounting profitability, indicating that 10-K reports contain useful information about future firm performance. In addition, investors’ reaction to 10-K information seems sluggish, as demonstrated by the stock-price drift during the 12-month period after 10-K filing. We find that investors’ underreaction tends to be stronger for firms with more complex 10-K reports.

This paper discusses Monahan’s empirical study of how conservative accounting of RD (ii) between estimates of value using the residual income valuation model and equity market value. My discussion focuses on the underlying mechanism of why growth matters and how the growth rate should be measured. In particular, I argue that different aspects of growth (e.g., short-term growth versus long-term growth) matter under different circumstances, depending on the intended use of accounting data. Failure to adjust for these differences affects the effectiveness of the empirical tests. The discussion also considers the impacts of potential noise in the R&D capitalization procedure and the presence of other intangible assets.

This paper examines the roles played by past revenues, web usage data, and analysts in forecasting the future revenues of internet firms during the years 1998 to 2000. For this time period our analysis shows that estimates of web traffic growth have significant incremental value in the prediction of revenues above time-series forecasts. Furthermore, analysts almost always underestimate the revenues of internet firms. Historical revenue growth has incremental predictive power over analysts' forecasts for portal and content/community firms, but not for our e-tailer sample. Moreover, the stocks of the portal and content/community firms with high historical revenue growth earn higher abnormal returns during our sample period than do those with low historical growth. Estimates of web usage growth generally do not have incremental value over analysts' forecasts for predicting the revenues of either set of firms. However, perfect foreknowledge of actual web usage growth would provide incremental predictive power. Collectively, our findings point to the potential value for forecasting purposes of both improving upon the web usage estimates and obtaining more timely reports of actual web traffic.