Disentangling Managers’ and Analysts’ Non‐GAAP Reporting

Researchers frequently proxy for managers’ non‐GAAP disclosures using performance metrics available through analyst forecast data providers (FDPs), such as I/B/E/S. The extent to which FDP‐provided earnings are a valid proxy for managers’ non‐GAAP reporting, however, has been debated extensively. We explore this important question by creating the first large‐sample data set of managers’ non‐GAAP earnings disclosures, which we directly compare to I/B/E/S data. Although we find a substantial overlap between the two data sets, we also find that they differ in systematic ways because I/B/E/S (1) excludes managers’ lower quality non‐GAAP numbers and (2) sometimes provides higher quality non‐GAAP measures that managers do not explicitly disclose. Our results indicate that using I/B/E/S to identify managers’ non‐GAAP disclosures significantly underestimates the aggressiveness of their reporting choices. We encourage researchers interested in managers’ non‐GAAP reporting to use our newly available data set of manager‐disclosed non‐GAAP metrics because it more accurately captures managers’ reporting choices.     

The role of a firm's strategic orientation dimensions in determining market orientation

Little is known about how various strategic orientation dimensions determine market orientation. The authors identify four key dimensions of a firm's strategic orientation as critical antecedents to market orientation: the firm's aggressiveness, its future orientation, the extent of marketing formalization, and risk proclivity. Moderating effects of two environmental forces, competitive intensity and technology turbulence, are also considered in light of their relationship with various dimensions of strategic orientation and market orientation. Using a survey with firms spanning multiple industries, the proposed effects are tested with latent class analysis with multiple regimes. The results, based on an optimal two-regime solution, show that that although market orientation is significantly impacted by these strategic orientation dimensions, the pattern of influence differs based on a firm's membership in one of two regimes.     

The effects on investment incentives of an allowance for corporate equity tax system: the Belgian case as an example

The Modigliani–Miller theorem serves as the standard finance paradigm on corporate capital structure and managerial decision making. Implicitly, it is assumed that the market possesses full information about the firm. However, if firm managers have insider information, they may attempt to ‘signal’ changes in the firm’s financial structure and, in competitive equilibrium, shareholders will draw deductions from such signals. Empirical work shows that the value of underlying firms rises with leverage because investors expect such firms to implement positive NPV projects. We empirically examine this view using a sample of debt issue announcements by publicly traded firms listed on the London Stock Exchange. We argue that the timing of debt issues is fundamental in determining the relationship between leverage and risk-adjusted returns. We show that an announcing firm’s intrinsic value may not rise depending on when management publicly ‘signals’ changes in their firm’s capital structure. Specifically, we show that risk-adjusted returns rise positively for firms that make debt announcements during normal economic conditions while they tend to decline for firms making debt announcements during recessionary periods. During recessionary periods, market risk and loss aversion rise and investors focus less on the potential growth of debt announcing firms and focus more on potential losses instead. We conclude that the timing of new debt is of paramount importance and managers’ inability to prudently time such announcements can lead to exacerbated levels of systematic risk coupled with a significant erosion in shareholder wealth.     

Stock Prices and Financial Analysts' Recommendations

The recommendations of a Canadian brokerage house are evaluated by a number of techniques. The results reveal that an investor following the recommendations would have achieved significantly positive abnormal returns, even after allowing for transactions cost.     

Intraurban residential mobility: The role of transactions costs, market imperfections, and household disequilibrium

This paper presents a model of household residential search and mobility that focuses on microeconomic elements of household behavior and incorporates housing market features. The model is cast explicitly in terms of a rigorous model of housing demand, allowing the benefits from moving to be measured as the compensating income variation of the potential change in consumption. The empirical results indicate that large changes in economic variables, such as income and prices produce only small potential gains from moving and that a major factor in the moving decision is the magnitude of search and moving costs.     

Zero-inflated count regression models with applications to some examples

In this paper, we employed SAS PROC NLMIXED (Nonlinear mixed model procedure) to analyze three example data having inflated zeros. Examples used are data having covariates and no covariates. The covariates utilized in this article have binary outcomes to simplify our analysis. Of course the analysis can readily be extended to situations with several covariates having multiple levels. Models fitted include the Poisson (P), the negative binomial (NB), the generalized Poisson (GP), and their zero-inflated variants, namely the ZIP, the ZINB and the ZIGP models respectively. Parameter estimates as well as the appropriate goodness-of-fit statistic (the deviance D) in this case are computed and in some cases, the Pearson’s X ² statistic, that is based on the variance of the relevant model distribution is also computed. Also obtained are the expected frequencies for the models and GOF tests are conducted based on the rule established by Lawal (Appl Stat 29:292–298, 1980). Our results extend previous results on the analysis of the chosen data in this example. Further, results obtained are very consistent with previous analyses on the data sets chosen for this article. We also present an hierarchical figure relating all the models employed in this paper. While we do not pretend that the results obtained are entirely new, however, the analyses give opportunities to researchers in the field the much needed means of implementing these models in SAS without having to resort to S-PLUS, R or Stata.     

Differences in large and small firm responses to environmental context: strategic implications from a comparative analysis of business formations

Despite growing recognition of some strategic advantages held by small firms, little comparative research has been performed on the advantages and disadvantages accruing to firm size. In order to delineate the differential responses of small and large businesses to their environmental context, we perform a comparative analysis of the impact of industry structural characteristics on the formation of large and small businesses in a large sample of U.S. manufacturing industries from 1977 to 1987. The results suggest that small businesses possess certain resources that allow them to overcome some barriers which create greater difficulties for their larger counterparts, as well as allow small businesses to exploit certain industry opportunities more readily than larger ones. © 1998 John Wiley & Sons, Ltd.