Monitoring Managers: Does It Matter?

We study how well‐incentivized boards monitor CEOs and whether monitoring improves performance. Using unique, detailed data on boards' information sets and decisions for a large sample of private equity–backed firms, we find that gathering information helps boards learn about CEO ability. “Soft” information plays a much larger role than hard data, such as the performance metrics that prior literature focuses on, and helps avoid firing a CEO for bad luck or in response to adverse external shocks. We show that governance reforms increase the effectiveness of board monitoring and establish a causal link between forced CEO turnover and performance improvements.     

MARKET EXPECTATIONS AND THE VALUATION EFFECTS OF EQUITY ISSUANCE

We examine how the wealth effects of equity offers are influenced by investors' expectation of the equity type (public or private) to be issued. Firms deviating to the public market may be issuing when information asymmetry or agency costs are high, and their wealth effects are more negative than for firms that are anticipated to issue equity publicly. Firms deviating to the private market, however, may signal firm undervaluation or monitoring benefits and experience more positive wealth effects than firms that are expected to issue equity privately. For the private issues, public market accessibility appears to influence the wealth effects.     

Freedom of choice between unitary and two-tier boards: An empirical analysis

We examine board structure in France, which since 1966 has allowed firms the freedom to choose between unitary and two-tier boards. We analyze how this choice relates to characteristics of the firm and its environment. Firms with severe asymmetric information tend to opt for unitary boards; firms with a potential for private benefits extraction tend to adopt two-tier boards. Chief executive officer turnover is more sensitive to performance at firms with two-tier boards, indicating greater monitoring. Our results are broadly consistent with the Adams and Ferreira (2007) model and suggest that gains result from allowing freedom of contract about board structure.     

Setting the right prices for the wrong reasons

Nominal price adjustment is studied in an environment with firm-specific and aggregate shocks to economic fundamentals and incomplete, dispersed information. Firms update their expectations about fundamentals based on their own cash flows (revenues and wages). We show that in a model with realistic levels of product-level price dispersion, the firms’ inference about aggregate shocks is very gradual, yet in the aggregate prices adjust rapidly in response to aggregate nominal shocks. When an aggregate shock occurs, firms mistakenly attribute it to firm-specific shocks, but adjust prices nevertheless, since the exact nature of the shock matters little for their optimal pricing decision.     

Word-of-mouth communication,noise-driven volatility,and public disclosure

This paper examines how a firm adjusts its disclosure quality in response to technological innovations that improve investors' private information. We show that more precise private information can endogenously amplify supply shocks and, hence, increase noise-driven (or non-fundamental) price volatility. We study how the firm reacts to such changes and derive a necessary and sufficient condition under which the firm improves its disclosure quality when investors are informed with better private signals. We then apply our model to study investors' private word-of-mouth communication. Our analysis highlights a “dark side” of word-of-mouth communication and a call for better public disclosure even if private communication is assumed to be unbiased and truthful. We provide empirical predictions regarding how price volatility, market depth, and firms’ disclosure qualities would change as technological innovations, such as social media, facilitate information sharing among investors.     

Product Market Competition, Insider Trading, and Stock Market Efficiency

How does competition in firms' product markets influence their behavior in equity markets? Do product market imperfections spread to equity markets? We examine these questions in a noisy rational expectations model in which firms operate under monopolistic competition while their shares trade in perfectly competitive markets. Firms use their monopoly power to pass on shocks to customers, thereby insulating their profits. This encourages stock trading, expedites the capitalization of private information into stock prices and improves the allocation of capital. Several implications are derived and tested.     

Corporate Governance, Idiosyncratic Risk, and Information Flow

We study the relationship of corporate governance policy and idiosyncratic risk. Firms with fewer antitakeover provisions display higher levels of idiosyncratic risk, trading activity, private information flow, and information about future earnings in stock prices. Trading interest by institutions, especially those active in merger arbitrage, strengthens the relationship of governance to idiosyncratic risk. Our results indicate that openness to the market for corporate control leads to more informative stock prices by encouraging collection of and trading on private information. Consistent with an information‐flow interpretation, the component of volatility unrelated to governance is associated with the efficiency of corporate investment.     

Do market prices reveal the decision models of sophisticated investors?: Evidence from the laboratory

If security prices are fully revealing, then all public information should be reflected in prices, and unsophisticated traders may be able to learn how various types of information affect security valuation by observing prices. A series of laboratory asset markets was conducted to examine whether unsophisticated traders are able to learn to evaluate publicly released information by trading with and observing trades made by a sophisticated trader who knows the valuation implications of the information. We find that unsophisticated traders who participate in an asset market with a sophisticated trader show significant improvement in their ability to use public information on a subsequent price estimation task. Conversely, a control group consisting only of unsophisticated traders shows no improvement. We conclude that market prices convey the sophisticated trader’s private information in a manner that permits unsophisticated investors to learn the stock price implications of a public information release.     

Do corporate insiders circumvent insider trading regulations? The case of stock repurchases

We use calculated values of standardized abnormal insider trading activity to investigate for patterns of unusual insider activity around fixed-price and Dutch auction repurchase announcements. Firms are classified according to whether the repurchase is signaling information about future cash flows, about the distribution of excess free cash flows, or about management's attempts to maintain control in the presence of a takeover. We find below normal levels of sales well before the event and above normal levels of sales after the event. This tendency is strongest for fixed-price offers and for firm's conveying information about future cash flows, and is absent for firms involved in takeovers. No evidence exists of abnormal levels of purchases before or after the event. We interpret the evidence as consistent with insiders successfully circumventing policies and regulations designed to prevent the exploitation of private information by timing the pattern of their security sales.     

Credit Contagion Channels: Market Microstructure Evidence from Lehman Brothers’ Bankruptcy

Immediately after Lehman Brothers’ bankruptcy, many firms disclosed their financial exposure (or lack thereof) to Lehman. This offers a clean setting to test two credit contagion channels through which a financial firm's bankruptcy can affect other firms—“counterparty risk” and “information transmission” channels. Using market microstructure variables to measure the various dimensions of contagion effects, we provide robust evidence supporting the significance of counterparty risk. Firms with exposure to Lehman suffered more severe negative effects—wider bid‐ask spread, higher price impact, greater information asymmetry, and greater selling pressure—than unexposed firms. We find mixed evidence regarding the information transmission hypothesis.     

Stabilizing non-fundamental asset price movements under discretion and limited information

Inflation, output and interest rate stabilization are all potential central bank objectives. We explore whether monetary policy should respond to asset price fluctuations when they are driven by irrational expectational shocks to the future returns to capital. In our model, an optimistic shock to future returns generates both an increase in equity prices and physical investment. The increased investment is inefficient and, thus, a central bank optimally responds to this expectations shocks. This induces a trade-off between stabilizing nominal prices and non-fundamental asset price movements. We compare the optimal policy under different assumptions: full versus limited information and commitment versus discretion. If the central bank has limited information about whether an asset price movement has a fundamental or non-fundamental origin, then the central bank responds less aggressively to the non-fundamental exuberance shocks than under full information. Without commitment, a central bank responds more aggressively to non-fundamental exuberance shocks.     

Market efficiency and learning in an artificial stock market: A perspective from Neo-Austrian economics

An agent-based artificial financial market (AFM) is used to study market efficiency and learning in the context of the Neo-Austrian economic paradigm. Efficiency is defined in terms of the “excess” profits associated with different trading strategies, where excess is defined relative to a dynamic buy and hold benchmark in order to make a clean separation between trading gains and market gains. We define an Inefficiency matrix that takes into account the difference in excess profits of one trading strategy versus another (signal) relative to the standard error of those profits (noise) and use this statistical measure to gauge the degree of market efficiency. A one-parameter family of trading strategies is considered, the value of the parameter measuring the relative informational advantage of one strategy versus another. Efficiency is then investigated in terms of the composition of the market defined in terms of the relative proportions of traders using a particular strategy and the parameter values associated with the strategies. We show that markets are more efficient when informational advantages are small (small signal) and when there are many coexisting signals. Learning is introduced by considering “copycat” traders that learn the relative values of the different strategies in the market and copy the most successful one. We show how such learning leads to a more informationally efficient market but can also lead to a less efficient market as measured in terms of excess profits. It is also shown how the presence of exogeneous information shocks that change trader expectations increases efficiency and complicates the inference problem of copycats.     

Contagious synchronization and endogenous network formation in financial networks

When banks choose similar investment strategies the financial system becomes vulnerable to common shocks. We model a simple financial system in which banks decide about their investment strategy based on a private belief about the state of the world and a social belief formed from observing the actions of peers. Observing a larger group of peers conveys more information and thus leads to a stronger social belief. Extending the standard model of Bayesian updating in social networks, we show that the probability that banks synchronize their investment strategy on a state non-matching action critically depends on the weighting between private and social belief. This effect is alleviated when banks choose their peers endogenously in a network formation process, internalizing the externalities arising from social learning.     

The monetary origins of asymmetric information in international equity markets

Existing studies using low-frequency data have found that macroeconomic shocks contribute little to international stock market covariation. However, these papers have not accounted for the presence of asymmetric information where sophisticated investors generate private information about the fundamentals that drive returns in many countries. In this paper, we use a new microstructure data set to better identify the effects of private and public information shocks about U.S. interest rates and equity returns. High-frequency private and public information shocks help forecast domestic money and equity returns over daily and weekly intervals. In addition, these shocks are components of factors that are priced in a model of the cross-section of international returns. Linking private information to U.S. macroeconomic factors is useful for many domestic and international asset-pricing tests.     

A search cost model of obfuscation

This article develops models in which obfuscation is individually rational for oligopolistic firms. Firms sell a homogeneous good to rational consumers who incur search costs to learn prices. Search costs are endogenized by allowing obfuscation—firms have an unobservable action that increases the time needed to learn their price. One model involves search costs convex in shopping time. We show that slight convexity can dramatically alter the equilibrium price distribution. A second model examines an informational linkage between current and future search costs: consumers are uncertain about a component of search costs. Here, a signal‐jamming mechanism can lead to equilibrium obfuscation.     

Innocent Bystanders? Monetary policy and inequality

We study the effects of monetary policy shocks on—and their historical contribution to—consumption and income inequality in the United States since 1980 as measured by the Consumer Expenditure Survey. Contractionary monetary policy systematically increases inequality in labor earnings, total income, consumption and total expenditures. Furthermore, monetary policy shocks account for a non-trivial component of the historical cyclical variation in income and consumption inequality. Using detailed micro-level data on income and consumption, we document some of the different channels via which monetary policy shocks affect inequality, as well as how these channels depend on the nature of the change in monetary policy.     

Informational Frictions and the Credit Crunch

In this paper, I estimate the magnitude of an informational friction limiting credit reallocation to firms during the 2007 to 2009 financial crisis. Because lenders rely on private information when deciding which relationship to end, borrowers looking for a new lender are adversely selected. I show how to separately identify private information from information common to all lenders but unobservable to the econometrician by using bank shocks within a discrete choice model of relationships. Quantitatively, these informational frictions appear to be too small to explain the credit crunch in the U.S. syndicated corporate loan market.     

Specialization in Bank Lending: Evidence from Exporting Firms

We develop a novel approach for measuring bank specialization using granular data on borrower activities and apply it to Peruvian exporters and their banks. We find that borrowers seek credit from banks that specialize in their export destinations, both when expanding exports and when exporting to new countries. Firms experiencing country-specific export demand shocks adjust borrowing disproportionately from specialized banks. Specialized bank credit supply shocks affect exports disproportionately to countries of specialization. Our results demonstrate that firm credit demand is bank- and activity-specific, which reduces banking competition and affects the transmission and amplification of shocks through the banking sector.     

Inter-industry network structure and the cross-predictability of earnings and stock returns

We examine how the patterns of inter-industry trade flows impact the transfer of information and economic shocks. We provide evidence that the intensity of transfers depends on industries’ positions within the economy. In particular, some industries occupy central positions in the flow of trade, serving as hubs. Consistent with a diversification effect, we find that these industries’ returns depend relatively more on aggregate risks than do returns of noncentral industries. Analogously, we find that the accounting performance of central industries associates more strongly with macroeconomic measures than does the accounting performance of noncentral industries. Comparing central industries to noncentral ones, we find that the stock returns and accounting performance of central industries better predict the performance of industries linked to them. This suggests that shocks to central industries propagate more strongly than shocks to other industries. Our results highlight how industries’ positions within the economy affect the transfer of information and economic shocks.     

Information Complementarities and the Dynamics of Transparency Shock Spillovers

We show that information complementarities play an important role in the spillover of transparency shocks. We exploit the revelation of financial misconduct by S&P 500 firms, and in a “Stacked Difference-in-Differences” design, find that the implied cost of capital increases for “close” industry peers of the fraudulent firms relative to “distant” industry peers. The spillover effect is particularly strong when the close peers and the fraudulent firm share common analyst coverage and common institutional ownership, which have been shown to be powerful proxies for fundamental linkages and information complementarities. We provide evidence that increase in the cost of capital of peer firms is due, at least in part, to “beta shocks.” Disclosure by close peers—especially those with co-coverage and co-ownership links—also increases following fraud revelation. Although disclosure remains high in the following years, the cost of equity starts to decrease.