GAAP versus The Street: An Empirical Assessment of Two Alternative Definitions of Earnings

Managers, security analysts, investors, and the press rely increasingly on modified definitions of GAAP net income, known by such names as "operating" and "pro forma" earnings. We document this phenomenon and discuss competing explanations for the recent rise in the use of such modified earnings numbers and implications for the interpretation of related accounting research. Our results show that over the past 20 years there has been a dramatic increase in the frequency and magnitude of cases where "GAAP" and "Street" earnings differ. Further, there is a very strong bias toward the reporting of a Street earnings number that exceeds the GAAP earnings number. We also show that the market response to the Street earnings number has displaced GAAP earnings as a primary determinant of stock prices. Finally, through an analysis of earnings releases, we show that management has taken a proactive role in defining and emphasizing the Street number when communicating to analysts and investors.     

Employee Reload Options: Pricing, Hedging, and Optimal Exercise

Reload options, call options granting new options on exercise,are popularly used in compensation. Although the compound optionfeature may seem complicated, there is a distribution-free dominantpolicy of exercising reload options whenever they are in themoney. The optimal policy implies general formulas for numericalvaluation. Simpler formulas for valuation and hedging followfrom Black–Scholes assumptions with or without continuousdividends. Time vesting affects the optimal policy, but numericalresults indicate that it is nearly optimal to exercise in themoney whenever feasible. The results suggest that reload optionsproduce similar incentives as employee stock options and sharegrants.     

Discussion of “Differential Market Reactions to Revenue and Expense Surprises”

Ertimur et al. (2003, this issue) study the difference in the market;s reaction to revenue versus expense surprises. The discussion first reviews their main findings and assesses the paper's potential contributions. Alternative explanations are then considered for the base-line result that the market reacts more to revenue surprises than to expense surprises. The hypothesized reasons for revenue surprises to matter more are critiqued, as are the tests of the hypotheses, and potential extensions that would link these test to financial statement analysis are suggested. Finally, two aspects of the assessment of how the reaction to revenue and expense surprises differs across value and growth firms are discussed: The definitions of value and growth firms and the potential benefits of assessing why analyst revenue forecasts are (not) observed for many value (growth) firms.     

ADRs,Analysts, and Accuracy: Does Cross Listing in the United States Improve a Firm's Information Environment and Increase Market Value?

This paper investigates the relation between cross listing in the United States and the information environment of non‐U.S. firms. We find that firms that cross list on U.S. exchanges have greater analyst coverage and increased forecast accuracy than firms that are not cross listed. A time‐series analysis shows that a change in analyst coverage and forecast accuracy occurs around cross listing. We also document that firms that have more analyst coverage and higher forecast accuracy have higher valuations. Furthermore, the change in firm value around cross listing is correlated with changes in analyst following and forecast accuracy, suggesting that cross listing enhances firm value through its effect on the firm's information environment. Our findings support the hypothesis that cross‐listed firms have better information environments, which are associated with higher market valuations.     

Contagion or Competition: Going Concern Audit Opinions for Real Estate Firms

We examine whether intra–industry information transfers from going–concern audit opinion announcements create contagion or competitive stock price reactions for other real estate firms operating in the same line of business. Using returns from publicly-traded land subdivision/development firms and Real Estate Investment Trusts, we find modest evidence supporting a competitive effect among rival firms as a result of another real estate firm announcing the receipt of a Going Concern Opinion (GCO) from its independent auditors.     

Feedback loops, fair value accounting and correlated investments

This paper presents and tests a model of the price dynamics that arise when investors fail to recognize the redundancy of unrealized gains and losses (“UGLs”) that are correlated with the firm’s past returns. Consistent with the predictions of our model, our experiment shows that a firm’s prices and earnings become highly volatile when correlated investment is large and correlated UGLs are made salient by comprehensive income reporting. The results suggest that including correlated UGLs in performance numbers could induce violations of weak-form efficiency that exacerbate volatility in share prices and earnings.     

Human capital and earnings distribution dynamics

Earnings heterogeneity plays a crucial role in modern macroeconomics. We document that mean earnings and measures of earnings dispersion and skewness all increase in US data over most of the working life-cycle for a typical cohort as the cohort ages. We show that (i) a human capital model can replicate these properties from the right distribution of initial human capital and learning ability, (ii) differences in learning ability are essential to produce an increase in earnings dispersion over the life cycle and (iii) differences in learning ability account for the bulk of the variation in the present value of earnings across agents. These findings emphasize the need to further understand the role and origins of initial conditions.     

The Dynamics of Location in Home Price

It is well established that house prices are dynamic. It is also axiomatic that location influences such selling prices, motivating our objective of incorporating spatial information in explaining the evolution of house prices over time. In this paper, we propose a rich class of spatio-temporal models under which each property is point referenced and its associated selling price modeled through a collection of temporally indexed spatial processes. Such modeling includes and extends all house price index models currently in the literature, and furthermore permits distinction between the effects of time and location. We study single family residential sales in two distinct submarkets of a metropolitan area and further categorize the data into single- and multiple-transaction observations. We find the spatial component is very important in explaining house price. Moreover, the relative homogeneity of homes within the submarket and the frequency with which homes sell affects the pattern of variation across space and time. Differences between single and repeat sale data are evident. The methodology is applicable to more general capital asset pricing when location is anticipated to be influential.     

Employee Stock Options, Corporate Taxes, and Debt Policy

We find that employee stock option deductions lead to large aggregate tax savings for Nasdaq 100 and S&P 100 firms and also affect corporate marginal tax rates. For Nasdaq firms, including the effect of options reduces the estimated median marginal tax rate from 31% to 5%. For S&P firms, in contrast, option deductions do not affect marginal tax rates to a large degree. Our evidence suggests that option deductions are important nondebt tax shields and that option deductions substitute for interest deductions in corporate capital structure decisions, explaining in part why some firms use so little debt.     

Logics,Leaders, Lab Coats: A Multi‐Level Study on How Institutional Logics are Linked to Entrepreneurial Intentions in Academia

Situated in the context of academia, this study integrates ideas from institutional theory, person‐environment fit theory and leadership research to conceptualize and examine the cross‐level link between the organizational‐level institutional logic of research commercialization and the entrepreneurial intentions of researchers. Multi‐level analyses based on a sample of 254 researchers working for 85 research group leaders in 49 German research institutes reveal that two distinct attributes of research group leaders – that is, their track records of entrepreneurial behaviour and their entrepreneurial intentions – play a significant role in transmitting the organizational‐level logic to the individual level. We also observe a complementary interaction between organizational‐level commercialization logic and the entrepreneurial track records of leaders. We discuss how these findings advance our understanding of science commercialization through academic entrepreneurship and how they inform institutional theory and theory development in other domains of entrepreneurship research.