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How Does Financial Reporting Regulation Affect Firms’ Banking?
We examine the effects of financial reporting regulation on firms’banking. Exploiting discontinuous public disclosure and auditing requirements assigned to otherwise similar small and medium-sized private firms, we document that financial reporting regulation reduces firms’ reliance on concentrated and local bank relationships and increases banks’ reliance on firms’ financial reporting, consistent with a shift in firms’ banking from relationship toward transactional approaches. Our evidence suggests that financial reporting regulation substitutes for banks’ information production role by burdening firms with the disclosure and auditing of their financial statements, consistent with institutional complementarities between reporting and banking systems.
The Power of the Street: Evidence from Egypt’s Arab Spring
Unprecedented street protests brought down Mubarak’s government and ushered in an era of competition between three rival political groups in Egypt. Using daily variation in the number of protesters, we document that more intense protests are associated with lower stock market valuations for firms connected to the group currently in power relative to non-connected firms, but have no impact on the relative valuations of firms connected to rival groups. These results suggest that street protests serve as a partial check on political rent-seeking. General discontent expressed on Twitter predicts protests but has no direct effect on valuations.
Global Relation between Financial Distress and Equity Returns
This study explores the distress risk anomaly—the tendency for stocks with high credit risk to perform poorly—among 38 countries over two decades. We find a strongly negative relationship between default probabilities and equity returns concentrated among low-capitalization stocks in developed countries in North America and Europe. Although risk-based explanations provide a poor account of these patterns, several pieces of evidence point to a behavioral interpretation, suggesting that stocks of firms in financial distress are temporarily overpriced.
Do Analysts’ Cash Flow Forecasts Improve Their Target Price Accuracy?
ABSTRACT The literature on the usefulness of analysts’ cash flow forecasts is unsettled, with Call et al. ( ), Mohanram ( ), and Radhakrishnan and Wu ( ) providing evidence in favor of their usefulness, and Givoly et al. ( ), Bilinski ( ), and Ecker and Schipper ( ) questioning this. Target prices provide a good setting to test the usefulness of cash flow forecasts because they are an ultimate output of an analyst's valuation process to which cash flow forecasts are an input. Moreover, studying the effect of cash flow forecasts on target prices is more relevant for assessing their usefulness than is studying their effect on earnings‐forecast accuracy, as the accuracy of target prices requires a comparison with market prices, which are less subject to management influence than reported earnings. By improving an analyst's understanding of unexpected accruals and permanent earnings, a cash flow forecast can increase an analyst's target price accuracy and signal an analyst's superior forecasting ability. We examine whether, conditional on their earnings forecasts, analysts’ cash flow forecasts improve their target price accuracy. We find that when analysts issue cash flow forecasts, their target price accuracy increases. We also find that this accuracy increases with the accuracy of their cash flow forecasts. Finally, we find that this increased target price accuracy is greater for more challenging‐to‐value firms. Our study provides confirmatory evidence of the usefulness of analysts’ cash flow forecasts.
PCAOB guidance and audits of fair values for Level 2 investments
Debt financing, survival, and growth of start-up firms
We analyze the relation between different forms of debt financing at the firm's start-up and subsequent firm outcomes. We distinguish between business debt, obtained in the name of the firm, and personal debt, obtained in the name of the firm's owner and used to finance the start-up firm. Start-up firms with better performance prospects are more likely to use debt and, in particular, business debt. Compared to all-equity firms, firms using debt at the initial year of operations are significantly more likely to survive and achieve higher levels of revenue three years after the firm's start-up. However, results hold for business debt only. Debt obtained in the name of the firm is associated with longer survival time and higher revenues, while debt obtained in the name of the firm's owner has no effect on survival time and is associated with lower revenues.
Large dividend increases and leverage
This study documents the fact that large dividend increases are followed by a significant increase in leverage, consistent with management increasing the dividend to use up excess debt capacity. However, the leverage increase is not captured by a standard partial adjustment model of leverage. Nor does it reflect variables known to be related to dividend increases, such as firm maturity, investment, and risk. Instead, the dividend increase signals a complex change in the way firms adjust to their leverage target, but it does not signal a change in the target.
Approximate Permutation Tests and Induced Order Statistics in the Regression Discontinuity Design
This paper proposes an asymptotically valid permutation test for a testable implication of the identification assumption in the regression discontinuity design (RDD). Here, by testable implication, we mean the requirement that the distribution of observed baseline covariates should not change discontinuously at the threshold of the so-called running variable. This contrasts to the common practice of testing the weaker implication of continuity of the means of the covariates at the threshold. When testing our null hypothesis using observations that are “close ” to the threshold, the standard requirement for the finite sample validity of a permutation test does not necessarily hold. We therefore propose an asymptotic framework where there is a fixed number of closest observations to the threshold with the sample size going to infinity, and propose a permutation test based on the so-called induced order statistics that controls the limiting rejection probability under the null hypothesis. In a simulation study, we find that the new test controls size remarkably well in most designs. Finally, we use our test to evaluate the validity of the design in Lee (2008), a well-known application of the RDD to study incumbency advantage.