Financial institutions suffered large trading losses during the 2007–2009 global financial crisis. These losses cast doubt on the effectiveness of regulations and risk management systems based on a single Value-at-Risk (VaR) constraint. While some researchers have recommended using Conditional Value-at-Risk (CVaR) to control tail risk, VaR remains popular among practitioners and regulators. Accordingly, our paper examines the effectiveness of multiple VaR constraints in controlling CVaR. Under certain conditions, we theoretically show that they are more effective than a single VaR constraint. Furthermore, we numerically find that the maximum CVaR permitted by the constraints is notably smaller than with a single constraint. These results suggest that regulations and risk management systems based on multiple VaR constraints are more effective in reducing tail risk than those based on a single VaR constraint.

We model the interrelations of equity market volatility in eight East Asian countries before, during, and after the Asian currency crisis. Using a new class of asymmetric volatility multiplicative error models based on the daily range, we find that dynamic propagation of volatility shocks occurs through a network of interdependencies, and shocks originating in Hong Kong may be amplified in their transmission throughout the system, posing greater risks to the region than shocks originating elsewhere. Although this partly explains the severity of the currency crisis, we also find evidence that parameters shifted, making the system more unstable during the crisis.

We investigate analysts' motives for rounding annual EPS forecasts (placing a zero or five in the penny location of the forecast). We first show that an intuitive reason for analysts to engage in rounding is in circumstances where the penny digit of the forecast is of less economic significance. By rounding, analysts reveal that their forecasts are not intended to be precise to the penny. We also show that analyst incentives impact the likelihood of rounding. Specifically, we predict that analysts will exert less effort forecasting earnings for firms that generate less brokerage or investment banking business since such firms create less value for the analysts' employers. As a consequence of this reduced effort and attention, the analyst will be more uncertain about the penny digit of the forecast and so will round. Our results are consistent with this prediction. One implication of our findings is that a rounded forecast is a simple and easily observable proxy for a more noisy measure of the market's expectation of earnings. Consistent with this implication, we show that rounded forecasts bias down earnings response coefficients at earnings announcements.

We develop a dynamic agency model in which payout, investment, and financing decisions are made by managers who attempt to maximize the rents they take from the firm, subject to a capital market constraint. Managers smooth payout to smooth their flow of rents. Total payout (dividends plus net repurchases) follows Lintner's (1956) target adjustment model. Payout smooths out transitory shocks to current income and adjusts gradually to changes in permanent income. Smoothing is accomplished by borrowing or lending. Payout is not cut back to finance capital investment. Risk aversion causes managers to underinvest, but habit formation mitigates the degree of underinvestment.

Threshold events are discrete events triggered when an observable continuous variable passes a known threshold. We demonstrate how to use threshold events as identification strategies by revisiting the evidence in Rauh (2006, Investment and financing constraints: Evidence from the funding of corporate pension plans, Journal of Finance 61, 33–71) that mandatory pension contributions cause investment declines. Rauh's result stems from heavily underfunded firms that constitute a small fraction of the sample and that differ sharply from the rest of the sample. To alleviate this issue, we use observations near funding thresholds and find causal effects of mandatory contributions on receivables, R&D, and hiring, but not on investment. We also provide useful suggestions and diagnostics for analyzing threshold events.

The optimality of tax smoothing is reexamined using frictional labor markets. In a calibrated matching model that generates empirically relevant labor market fluctuations conditional on exogenous fiscal policy, the Ramsey-optimal policy calls for extreme labor tax rate volatility. Purposeful tax volatility induces dramatically smaller, but efficient, fluctuations of labor markets by keeping distortions constant over the business cycle. We relate the results to standard Ramsey theory by developing welfare-relevant concepts of efficiency and distortions based on primitive matching frictions. Although the basic Ramsey principles of “wedge smoothing” and zero intertemporal distortions hold, tax smoothing depends on whether wages are set efficiently.

This paper argues that in the presence of intersectoral input-output linkages, microeconomic idiosyncratic shocks may lead to aggregate fluctuations.We show, as the economy becomes more disaggregated, the rate at which aggregate volatility decays is determined by the structure of the network capturing such linkages.Our main results provide a characterization of this relationship in terms of the importance of different sectors as suppliers to their immediate customers as well as their role as indirect suppliers to chains of downstream sectors.Such higher-order interconnections capture the possibility of "cascade effects" whereby productivity shocks to a sector propagate not only to its immediate downstream customers, but also to the rest of the economy.Our results highlight that sizable aggregate volatility is obtained from sectoral idiosyncratic shocks only if there exists significant asymmetry in the roles that sectors play as suppliers to others, and that the "sparseness" of the input-output matrix is unrelated to the nature of aggregate fluctuations.

Consumers need information to compare alternatives for markets to function efficiently. Recognizing this, public policies often pair competition with easy access to comparative information. The implicit assumption is that comparison friction—the wedge between the availability of comparative information and consumers' use of it—is inconsequential because when information is readily available, consumers will access this information and make effective choices. We examine the extent of comparison friction in the market for Medicare Part D prescription drug plans in the United States. In a randomized field experiment, an intervention group received a letter with personalized cost information. That information was readily available for free and widely advertised. However, this additional step—providing the information rather than having consumers actively access it—had an impact. Plan switching was 28% in the intervention group, versus 17% in the comparison group, and the intervention caused an average decline in predicted consumer cost of about $100 a year among letter recipients—roughly 5% of the cost in the comparison group. Our results suggest that comparison friction can be large even when the cost of acquiring information is small and may be relevant for a wide range of public policies that incorporate consumer choice.

This study investigates how manager and auditor incentives, along with audit committee characteristics, are associated with materiality judgments about detected misstatements. Using data on detected misstatements that occurred between 2003 and 2006, we find auditors' incentives to protect their reputations weaken the effect of managerial incentives associated with the pressure created by analyst following; auditors are less likely to allow managers to waive material misstatements as audit fees increase. Regarding audit committee characteristics, results reveal that audit committees with greater financial expertise are less likely to allow managers to waive material misstatements compared to audit committees with less expertise. Data Availability: Data used in the study are available from public sources.

This study examines the effect that two key balanced scorecard (BSC) framework elements—causal linkages between strategic objectives in the strategy map and performance measures categorized by scorecard perspective—have on managers' ability to interpret the strategic relevance of external information and use this information to evaluate the appropriateness of an organization's strategy. We conduct two experiments, finding that presenting a set of strategic objectives as a strategy map enhances both managers' information relevance and strategy appropriateness judgments. We attribute this improvement to the explication of causal linkages between objectives in a strategy map. In contrast, presenting performance measures categorized by scorecard perspective only improves managers' strategy appropriateness judgments when the managers are provided with a set of strategic objectives that are not presented in a strategy map structure. Our study contributes to the literature by demonstrating that these two elements of the BSC framework have differential decision-facilitating impacts on managers' strategic judgments. Data Availability: Data are available from the authors upon request.