This paper exploits hand-collected data on illegal insider trades to provide new evidence on the ability of a host of standard measures of illiquidity to detect informed trading. Controlling for unobserved cross-sectional and time-series variation, sampling bias, and strategic timing of insider trades, I find that when information is short-lived, only absolute order imbalance and effective spread are statistically and economically robust predictors of illegal insider trading. However, when information is long-lasting, insiders strategically time their trades to avoid illiquidity, and none of the standard measures considered are reliable predictors, including bid-ask spreads, order imbalance, Kyle’s λ, and Amihud illiquidity. (JEL D53D82G12G14K42) Received: March 14, 2019; Editorial decision: February 18, 2020 by Editor Thierry Foucault.

Covariances between aggregate stock returns and changes in bond yields change sign over time. Existing theories emphasize either time-varying properties of expected inflation or time-varying properties of real yields. Using revisions in survey forecasts as proxies for macroeconomic news, neither approach succeeds empirically. Inflation-centric models require much more news about expected future inflation than we observe from surveys. Real-centric models posit signs of covariances among macroeconomic news, changes in yields, and stock returns that do not match those in the data. In a nutshell, macroeconomic news appears to drive a substantial part of stock–bond comovement, but not in ways consistent with our theories.

We distinguish between identification and establishing causality. Identification means forming a unique mapping from features of data to quantities that are of interest to economists. Establishing causality by finding sources of exogenous variation is often considered synonymous with identification, but these two concepts are distinct. Exogenous variation is only sometimes necessary and never sufficient to identify economically interesting parameters. Instead, even for causal questions, identification must rest on an underlying economic model. We illustrate these points by analyzing identification in three recent papers and by examining the estimation of a simple dynamic model. Received June 6, 2017; editorial decision September 26, 2017 by Editor Gregor Matvos. Authors have furnished supplementary code, which is available on the Oxford University Press Web site next to the link to the final published paper online.

In almost every area of empirical finance, researchers confront multiple tests. One high-profile example is the identification of outperforming investment managers, many of whom beat their benchmarks purely by luck. Multiple testing methods are designed to control for luck. Factor selection is another glaring case in which multiple tests are performed, but numerous other applications do not receive as much attention. One important example is a simple regression model testing five variables. In this case, because five variables are tried, a t-statistic of 2.0 is not enough to establish significance. Our paper provides a guide to various multiple testing methods and details a number of applications. We provide simulation evidence on the relative performance of different methods across a variety of testing environments. The goal of our paper is to provide a menu that researchers can choose from to improve inference in financial economics.

Considerable research has documented the role of debt covenants and conservative financial accounting in addressing agency conflicts between lenders and borrowers. Beatty, A., Weber, J., and Yu, J. [2008. Conservatism and debt. Journal of Accounting and Economics, forthcoming] document interesting, but mixed, findings on the relation between debt covenants and conservative accounting, and the extent to which the two contracting mechanisms act as substitutes or complements. In this paper, I discuss the economic roles of financial reporting, debt covenants, and conservatism within the debt contracting environment, and attempt to fit BWY's findings within this context.

The appropriateness of financial reporting rules for derivative securities depends on corporations' reasons for using the instruments. Empirically, little is documented about how the instruments affect firms' risk exposures. This study examines derivatives' roles in firms initiating derivatives use. The results are consistent with firms using derivatives to hedge, and not to increase, entity risk. Firm risk (measured several ways) declines following derivatives use. Realized risk reductions and decisions to initiate derivatives programs vary across firms with the expected benefits from hedging. The findings emphasize the importance of hedge-accounting rules that incorporate the impact of derivatives and hedged items simultaneously.

Using a unique set of banking data containing both originally-reported and subsequently-revised financial variables, we study accounting restatements. Our results indicate the worse a bank's financial condition, the more likely it is for originally-reported data to understate financial losses. Also, we find supervisory exams have an important role in uncovering financial problems and prompting accounting restatements to correct loss underreporting. While revisions are directly related to financial difficulties, exam-based restatements are evident at even the earliest stages of deterioration, indicating substantial accounting misstatements—at both banks and other types of companies—can occur well outside severe business circumstances.

This paper reviews and analyzes the legal and economic aspects of the duty of best execution. Although a well-established principle of securities trading, we show that the dual problems of definition and enforcement make best execution both unwieldy and unworkable as a mandated legal duty. We examine the impact of several market practices on best execution, in particular payment for order flow, preferencing and internalization practices, and price improvement and order execution protocols. We suggest three possible directions for the future rule and interpretation of the duty of best execution.Journal of Economic LiteratureClassification Numbers: G10, G18, K22, K23.

In this article we develop a model to analyze patent-protected R&D investment projects when there is (imperfect) competition in the development and marketing of the resulting product. The competitive interactions that occur substantially complicate the solution of the problem since the decision maker has to take into account not only the factors that affect her/his own decisions, but also the factors that affect the decisions of the other investors. The real options framework utilized to deal with investments under uncertainty is extended to incorporate the game theoretic concepts required to deal with these interactions. Implementation of the model shows that competition in R&D, in general, not only increases production and reduces prices, but also shortens the time of developing the product and increases the probability of a successful development. These benefits to society are countered by increased total investment costs in R&D and lower aggregate value of the R&D investment projects.

We analyze how countercyclical liquidity policy—via reserve requirements (RRs)—affects the credit cycle. For identification, we exploit supervisory credit register data and RR changes in Brazil made for monetary and macroprudential purposes and affecting banks differently. We find that countercyclical liquidity policy smooths credit supply cycles at the loan and firm levels. The effects of easing during crises are three times stronger than are those of tightening during booms, particularly for low-risk firms. We also explore interest rate policy. Credit supply effects are stronger among high-risk firms and during tightening, when interest rates are more effective than RRs.