ABSTRACT: A report issued by the U.S. General Accounting Office (GAO) in 2003 identified auditors’ industry expertise as a critical factor for firms choosing an auditor, and highlighted the extreme levels of auditor concentration in some industries. We posit that the investment opportunity set (IOS) plays a fundamental role in determining whether an industry is an attractive target for auditor specialization. When industry-specific IOS is high, specialist auditors make costly investments in industry-specific knowledge, allowing them to offer a differentiated product and to create entry barriers for other audit firms. When the IOS of firms within an industry is relatively homogeneous, auditors can transfer such knowledge across clients in the industry more easily, resulting in cost savings and scale economies. However, greater homogeneity of IOS in an industry can also increase a client’s aversion to sharing an auditor with its competitors because of concerns about transfers of proprietary information, suggesting that industries with relatively homogeneous IOS are less likely to be dominated by a single auditor. We show that auditor concentration in an industry relates positively to both the level and homogeneity of IOS in the industry, while auditor dominance relates negatively to industry IOS homogeneity. Further, we find that audit fees are positively associated with both levels and homogeneity of industry IOS.

ABSTRACT We examine whether a simple quantitative measure of language can be used to predict individual firms' accounting earnings and stock returns. Our three main findings are: (1) the fraction of negative words in firm‐specific news stories forecasts low firm earnings; (2) firms' stock prices briefly underreact to the information embedded in negative words; and (3) the earnings and return predictability from negative words is largest for the stories that focus on fundamentals. Together these findings suggest that linguistic media content captures otherwise hard‐to‐quantify aspects of firms' fundamentals, which investors quickly incorporate into stock prices.

ABSTRACT Theory suggests that banks' private information about borrowers lets them hold up borrowers for higher interest rates. Since hold‐up power increases with borrower risk, banks with exploitable information should be able to raise their rates in recessions by more than is justified by borrower risk alone. We test this hypothesis by comparing the pricing of loans for bank‐dependent borrowers with the pricing of loans for borrowers with access to public debt markets, controlling for risk factors. Loan spreads rise in recessions, but firms with public debt market access pay lower spreads and their spreads rise significantly less in recessions.

Prior research indicates that audit and tax professionals' judgments are influenced by their client's preferences, both directly and indirectly (via information search). In an experiment with tax professionals as participants, we examine whether high practice risk (i.e., exposure to monetary and nonmonetary costs of making inappropriate recommendations) mitigates these effects. We find that, when facing a client with low practice risk, professionals' search is biased in a manner that leads judgments to be consistent with client preference; however, search is less biased when facing a client with high practice risk, and resulting judgments are less consistent with client preference. We also find that, after controlling for the impact of information search, professionals tend to adjust their recommendations away from the client-preferred position, regardless of practice risk. This study sheds light on the direct and indirect paths by which client preference and practice risk affect professionals' judgments.

We characterize and measure a long-term risk-return trade-off for the valuation of cash flows exposed to fluctuations in macroeconomic growth. This trade-off features risk prices of cash flows that are realized far into the future but continue to be reflected in asset values. We apply this analysis to claims on aggregate cash flows and to cash flows from value and growth portfolios by imputing values to the long-run dynamic responses of cash flows to macroeconomic shocks. We explore the sensitivity of our results to features of the economic valuation model and of the model cash flow dynamics. (c) 2008 by The University of Chicago. All rights reserved.