Theory suggests that voluntary disclosure decisions are a function of conflicting incentives vis-a`-vis multiple audiences. However, few opportunities exist to investigate this issue empirically. We identify a setting that offers us such an opportunity: the electric utility industry as it transitions toward deregulation. We consider two types of voluntary disclosures: strategies to protect the firm's existing customer base and plans to exploit emerging opportunities under deregulation. We examine these particular disclosures since they are voluntary, relevant to all sample firms, and convey positive information about the firm's prospects in a deregulated environment. We consider three target audiences: industry regulators, capital market participants, and product market competitors. We find that our disclosure index is negatively associated with the magnitude of utilities' stranded costs in jurisdictions where the stranded cost recovery issue is unresolved, consistent with our predicted regulatory incentives. Further, our evidence indicates that capital market-related incentives are positively associated with our disclosure index. Finally, we find that product market-related incentives play a deterrent role in disclosure, but only after regulatory concerns have been resolved.

I describe a model of earnings and earnings growth and I demonstrate how this model may be used to obtain estimates of the expected rate of return on equity capital. These estimates are compared with estimates of the expected rate of return implied by commonly used heuristics—viz., the PEG ratio and the PE ratio. Proponents of the PEG ratio (which is the price-earnings [PE] ratio divided by the short-term earnings growth rate) argue that this ratio takes account of differences in short-run earnings growth, providing a ranking that is superior to the ranking based on PE ratios. But even though the PEG ratio may provide an improvement over the PE ratio, it is arguably still too simplistic because it implicitly assumes that the short-run growth forecast also captures the long-run future. I provide a means of simultaneously estimating the expected rate of return and the rate of change in abnormal growth in earnings beyond the (short) forecast horizon—thereby refining the PEG ratio ranking. The method may also be used by researchers interested in determining the effects of various factors (such as disclosure quality, cross-listing, etc.) on the cost of equity capital. Although the correlation between the refined estimates and estimates of the expected rate of return implied by the PEG ratio is high, supporting the use of the PEG ratio as a parsimonious way to rank stocks, the estimates of the expected rate of return based on the PEG ratio are biased downward. This correlation is much lower and the downward bias is much larger for estimates of the expected rate of return based on the PE ratio. I provide evidence that stocks for which the downward bias is higher can be identified a priori.

This paper examines transfer pricing in multinational firms when individual divisions face different income tax rates. Assuming that a firm decouples its internal transfer price from the arm's length price used for tax purposes, we analyze the effectiveness of alternative pricing rules under both cost- and market-based transfer pricing. In a tax-free world, Hirshleifer (1956) advocated that the internal transfer price be set equal to the marginal cost of the supplying division. Extending this solution, we argue that the optimal internal transfer price should be a weighted average of the pre-tax marginal cost and the most favorable arm's length price. When the supplying division also sells the intermediate product in question to outside parties, the external price becomes a natural candidate for the arm's length price. We argue that for internal performance evaluation purposes firms should generally not value internal transactions at the prevailing market price if the supplying division has monopoly power in the external market. By imposing intracompany discounts, firms can alleviate attendant double marginalization problems and, at the same time, realize tax savings due to differences in income tax rates. Our analysis characterizes optimal intracompany discounts as a function of the market parameters and the divisional tax rates.

The objective of this study is to examine the market valuation of environmental capital expenditure investment related to pollution abatement in the pulp and paper industry. The total environmental capital expenditure of $8.7 billion by our sample firms during 1989–2000 supports the focus on this industry. In order to be capitalized, an asset should be associated with future economic benefits. The existing environmental literature suggests that investors condition their evaluation of the future economic benefits arising from environmental capital expenditure on an assessment of the firms' environmental performance. This literature predicts the emergence of two environmental stereotypes: low-polluting firms that overcomply with existing environmental regulations, and high-polluting firms that just meet minimal environmental requirements. Our valuation evidence indicates that there are incremental economic benefits associated with environmental capital expenditure investment by low-polluting firms but not high-polluting firms. We also find that investors use environmental performance information to assess unbooked environmental liabilities, which we interpret to represent the future abatement spending obligations of high-polluting firms in the pulp and paper industry. We estimate average unbooked liabilities of $560 million for high-polluting firms, or 16.6 percent of market capitalization.

XBRL (eXtensible Business Reporting Language) is an emerging technology that facilitates directed searches and simultaneous presentation of related financial statement and footnote information. We investigate whether using an XBRL-enhanced search engine helps nonprofessional financial statement users acquire and integrate related financial information when making an investment decision. We conduct our investigation in the context of recognition versus disclosure of stock option compensation. Our results reveal that many users do not access the technology, but those who do use it are better able to acquire and integrate information. Specifically, we find that when stock option accounting varies between firms, the use of an XBRL-enhanced search engine increases the likelihood that individuals acquire information about stock option compensation disclosed in the footnotes. We also find that XBRL helps individuals integrate the implications of this information, resulting in different investment decisions between individuals who use and do not use the search engine. Our results suggest that search-facilitating technologies, such as XBRL, aid financial statement users by improving the transparency of firms' financial statement information and managers' choices for reporting that information. Our results also reveal that wide publicity about the benefits of using search-facilitating technology may be needed to induce financial statement users to access the technology.

Audit clients often employ a former partner of their present auditor as an officer or a director. This “revolving door” practice presents a potential threat to auditor independence. Using the Jones (1991) model to calculate abnormal accruals for firms in 1998 and 1999, we find that firms employing former partners as officers or directors report larger signed and unsigned abnormal accruals than other firms, after controlling for other factors that plausibly affect abnormal accruals. To ensure that the results are not driven by performance characteristics of the former partner firms, we construct a performance-matched control sample and obtain consistent results. We also observe a disproportionately higher (lower) proportion of former partner firms than expected just meeting (missing) analysts' earnings forecasts.

We investigate the extent to which the trading and trade-generating activities of three informed market participants—financial analysts, institutional investors, and insiders—influence the relative amount of firm-specific, industry-level, and market-level information impounded into stock prices, as measured by stock return synchronicity. We find that stock return synchronicity is positively associated with analyst forecasting activities, consistent with analysts increasing the amount of industry-level information in prices through intra-industry information transfers. In contrast, stock return synchronicity is inversely related to insider trades, consistent with these transactions conveying firm-specific information. Supplemental tests show that insider and institutional trading accelerate the incorporation of the firm-specific component of future earnings news into prices alone, while analyst forecasting activity accelerates both the industry and firm-specific component of future earnings news. Our results suggest that all three parties influence the firm's information environment, but the type of price-relevant information conveyed by their activities depends on each party's relative information advantage.

The balanced scorecard provides a framework for selecting multiple performance measures that supplement traditional financial measures with operating measures of customer satisfaction, internal processes, and learning and growth activities. An essential aspect of the balanced scorecard lies in its articulation of the linkage between performance measures and business strategy. This study conducts an experiment to assess how individuals' evaluations of the performance of business unit managers depend on strategically linked performance measures of a balanced scorecard. Statistical test results indicate that performance evaluations are influenced by strategically linked measures more than non-linked measures only when evaluators are provided detailed information about business unit strategies. The results also confirm Lipe and Salterio's (2000) finding that evaluators rely more on common measures than on unique measures. Evaluators rely more on strategically linked measures than on common measures when they are provided information on strategic linkages, but the reverse relation holds when they are not.

We examine how fair-value-income measurement affects commercial bank equity analysts' risk and value judgments. Normatively, holding information and other underlying economics constant, bank analysts' risk and valuation assessments should distinguish between banks with different risks, but should not depend on how banks measure income. In our experiment, we vary income measurement—full-fair-value (all fair-value changes recognized in income) versus piecemeal-fair-value (some fair-value changes recognized in income, others disclosed in the notes). We also vary interest-rate-risk exposure (exposed versus hedged). We find that bank analysts' risk and value judgments distinguish banks' exposure to interest-rate risk only under full-fair-value-income measurement. Our evidence contributes to research concerned with financial performance reporting, risk, and fair-value accounting by demonstrating that differences in income measurement affect fundamental judgments of specialist analysts. Our findings are striking because they: (1) point toward an important role for measurement and recognition of fair-value gains and losses in income, and (2) suggest that note disclosure is not a substitute for financial-statement recognition (even for professional analysts specializing in banks and working in a context that involves assessment of core operations of a bank). These results should be of interest to accounting standard setters as they evaluate whether to require full-fair-value-income measurement.