This article investigates the impact of political uncertainty on contractual lending terms using a large sample of syndicated loans and a within-firm estimation approach to achieve identification. Firms pay 7 basis points (bps) more on loans originated when their lenders are undergoing an election relative to when their lenders are not undergoing an election. Lenders from less financially developed countries are more likely to pass political uncertainty costs to borrowers. Consistent with electoral uncertainty driving this premium, the most contested elections have the largest impact (17 bps). Overall, political uncertainty leads to a tangible increase in firms’ financing costs.

We assess investment banks’ influence over the agreement between their analysts’ research behavior and their clients’ interests, in the post-reform era. Competing banks discipline their analysts with worse career outcomes for producing biased reports, issuing shirking reports, and for involvement in the earnings guidance game, showing meaningful monitoring of their analysts. Highly reputable banks provide more monitoring discipline of their analysts and bonding of their moral hazard than other banks. The findings agree with the banks taking responsibility for aligning analysts’ behavior with clients’ interests.

Differences among bidder type-specific outcomes of asset sales are theoretically related to differences in bidders’ valuations and participation. The lead application to quantify these relations is takeover auctions: bidders are classified into strategic and financial, and bids are available. I structurally estimate valuations from all bids. The positive difference in premiums between strategic and financial acquirers is driven by the difference in dispersions of valuations (e.g., strategic bidders’ synergies are more dispersed) and the set of auction participants. The difference in average valuations is relatively unimportant. My approach can help explain outcomes of asset sales, even in settings with limited bidder data.

We define quality as characteristics that investors should be willing to pay a higher price for. Theoretically, we provide a tractable valuation model that shows how stock prices should increase in their quality characteristics: profitability, growth, and safety. Empirically, we find that high-quality stocks do have higher prices on average but not by a large margin. Perhaps because of this puzzlingly modest impact of quality on price, high-quality stocks have high risk-adjusted returns. Indeed, a quality-minus-junk (QMJ) factor that goes long high-quality stocks and shorts low-quality stocks earns significant risk-adjusted returns in the United States and across 24 countries. The price of quality varies over time, reaching a low during the internet bubble, and a low price of quality predicts a high future return of QMJ. Analysts’ price targets and earnings forecasts imply systematic quality-related errors in return and earnings expectations.

We propose a distress measure for national banking systems that incorporates not only banks’ CDS spreads, but also how they interact with the rest of the global financial system via multiple linkage types. The measure is based on a tensor decomposition method that extracts an adjacency matrix from a multi-layer network, measured using banks’ foreign exposures obtained from the BIS international banking statistics. Based on this adjacency matrix, we develop a new network centrality measure that can be interpreted in terms of a banking system's credit risk or funding risk.

A fundamental question in accounting is whether and to what extent financial reporting facilitates the allocation of capital to the right investment projects. Over the last two decades, a large and growing body of literature has contributed to our understanding of whether and why financial reporting affects investment decision-making. We review the empirical literature on this topic, provide a framework to organize this literature, and highlight opportunities for future research.

[Using over 5,000 trades unequivocally based on nonpublic information about firm fundamentals, we find that asymmetric information proxies display abnormal values on days with informed trading. Volatility and volume are abnormally high, whereas illiquidity is low, in equity and option markets. Daily returns reflect the sign of private signals, but bidask spreads are lower when informed investors trade. Market makers’ learning under event uncertainty and limit orders help explain these findings. The cross-section of information duration indicates that traders select days with high uninformed volume. Evidence from the U.S. SEC Whistleblower Reward Program and the FINRA involvement addresses selection concerns.]

ABSTRACT We commemorate the 50th anniversary of Ball and Brown [1968] by chronicling its impact on capital market research in accounting. We trace the evolution of various research paths that post–Ball and Brown [1968] researchers took as they sought to build on the foundation laid by Ball and Brown [1968] to create a body of research on the usefulness, timeliness, and other properties of accounting numbers. We discuss how those paths often link back to the groundwork laid and questions originally posed in Ball and Brown [1968].

We show that a rating agency can provide certification for corporate borrowers through the mechanism of a credit watch with direction downgrade. We find that firms with watch-preceded rating confirmations (firms for which original ratings are confirmed after a credit watch warning) experience an increase in their long-term debt financing and ramp up their investment activities following the credit watch period. These firms are able to maintain their profitability from before to after the watch period, while we find no such evidence for firms with watch-preceded rating downgrades. Among firms with confirmed ratings, those with less access to credit markets obtain more long-term debt financing at a lower cost of debt capital only in the post-watch period, indicating that rating agencies can help alleviate firm capital constraints. The certification effects persist after controlling for potential endogeneity bias.

We propose a dynamic theory of financial intermediaries that are better able to collateralize claims than households, that is, have a collateralization advantage. Intermediaries require capital as they have to finance the additional amount that they can lend out of their own net worth. The net worth of financial intermediaries and the corporate sector are both state variables affecting the spread between intermediated and direct finance and the dynamics of real economic activity, such as investment, and financing. The accumulation of net worth of intermediaries is slow relative to that of the corporate sector. The model is consistent with key stylized facts about macroeconomic downturns associated with a credit crunch, namely, their severity, their protractedness, and the fact that the severity of the credit crunch itself affects the severity and persistence of downturns. The model captures the tentative and halting nature of recoveries from crises.