Knowledge that Transforms

This study examines firm performance surrounding insiders' prepaid variable forward (PVF) transactions to infer insiders' information when they enter these off‐market contracts. PVFs allow insiders to hedge downside risk, share performance gains, and obtain immediate large‐sum cash payments for investment or consumption. On average, PVF transactions cover 30% of a sample insider's firm‐specific wealth ($22 million), which is substantially larger than a typical open‐market sale. PVFs systematically follow strong firm performance and precede degraded stock and earnings performance. PVFs also precede periods of negative abnormal returns relative to potential alternative investments. The documented association between PVFs and performance declines does not appear to result from the market's response to transaction disclosure, participant self‐selection, or general price reversals. Thus, evidence suggests that insiders use PVFs to diversify firm‐specific holdings in anticipation of performance declines.

We examine stock price reaction to voluntary disclosure of innovation strategy by high‐tech firms and its relation with insider stock transactions before the disclosure. We find that, despite the qualitative and subjective nature of strategy‐related disclosure, there is positive stock price reaction to the disclosure. The evidence suggests that investors view the disclosure as credible good news. We also find that the disclosure is associated with more positive stock price reaction when it is preceded by insider purchase transactions. This evidence is consistent with insider purchase enhancing the credibility of the disclosure. The credibility‐enhancing effect is found to be stronger for firms with higher degrees of information asymmetry (younger firms, firms with lower analyst following, loss firms, and firms with higher research and development (R&D) intensity). Our evidence also indicates that predisclosure insider purchase is associated with greater future abnormal returns, suggesting that managers are privy to good news shortly before the disclosure.

We examine the contemporaneous relation between earnings forecast accuracy and recommendation profitability to assess the effectiveness with which analysts translate forecasts into profitable recommendations. We find that, after controlling for expertise, more accurate analysts make more profitable recommendations, albeit only for firms with value‐relevant earnings. Next, we show that conflicts of interest from investment banking activities affect the relation between accuracy and profitability. In the case of buy recommendations, more accurate forecasts are associated with more profitable recommendations only for the nonconflicted analysts. For hold recommendations, higher levels of accuracy are associated with higher levels of profitability for conflicted analysts, provided these recommendations are treated as sells. Finally, we find that regulatory reforms aimed at mitigating analyst conflicts of interest appear to have improved the relation between accuracy and profitability. Specifically, the integrity of buy and hold recommendations has improved and the change is more pronounced for analysts expected to be most conflicted.

There is growing interest in the use of markets within firms. Proponents have noted that markets are a simple and efficient mechanism for allocating resources in economies in which information is dispersed. In contrast to the use of markets in the broader economy, the efficiency of an internal market is determined in large part by the endogenous contractual incentives provided to the participating, privately informed agents. In this paper, we study the optimal design of managerial incentives when resources are allocated by an internal auction market, as well as the efficiency of the resulting resource allocations. We show that the internal auction market can achieve first‐best resource allocations and decisions, but only at an excessive cost in compensation payments. We then identify conditions under which the internal auction market and associated optimal incentive contracts achieve the benchmark second‐best outcome as determined using a direct revelation mechanism. The advantage of the auction is that it is easier to implement than the direct revelation mechanism. When the internal auction mechanism is unable to achieve second‐best, we characterize the factors that determine the magnitude of the shortfall. Overall, our results speak to the robust performance of relatively simple market mechanisms and associated incentive systems in resolving resource allocation problems within firms.

Using a sample of 140 managers, we investigate the use of various performance metrics in determining the periodic assessment, bonus decisions, and career paths of business unit managers. We show that the weight on accounting return measures is associated with the authority of these managers, and we document that both disaggregated measures (expenses and revenues), and nonfinancial measures play a greater role as interdependencies between business units increase. The results suggest separate and distinct roles for different types of performance measures. Accounting return measures are used to create the proper incentives for managers with greater authority, while disaggregated and nonfinancial measures are employed in response to interdependencies.

In this paper I demonstrate how one can generalize finitely many examples to statements about (infinite) classes of economic models. If there exist upper bounds on the number of connected components of one-dimensional linear subsets of the set of parameters for which a conjecture is true, one can conclude that it is correct for all parameter values in the class considered, except for a small residual set, once one has verified the conjecture for a predetermined finite set of points. I show how to apply this insight to computational experiments and spell out assumptions on the economic fundamentals that ensure that the necessary bounds on the number of connected components exist. I argue that these methods can be fruitfully utilized in applied general equilibrium analysis. I provide general assumptions on preferences and production sets that ensure that economic conjectures define sets with a bounded number of connected components. Using the theoretical results, I give an example of how one can explore qualitative and quantitative implications of general equilibrium models using computational experiments. Finally, I show how random algorithms can be used for generalizing examples in high-dimensional problems.

We provide a nonparametric characterization of a general collective model for household consumption, which includes externalities and public consumption. Next, we establish testable necessary and sufficient conditions for data consistency with collective rationality that only include observed price and quantity information. These conditions have a similar structure as the generalized axiom of revealed preference for the unitary model, which is convenient from a testing point of view. In addition, we derive the minimum number of goods and observations that enable the rejection of collectively rational household behavior.

In this article we introduce efficient Wald tests for testing the null hypothesis of the unit root against the alternative of the fractional unit root. In a local alternative framework, the proposed tests are locally asymptotically equivalent to the optimal Robinson Lagrange multiplier tests. Our results contrast with the tests for fractional unit roots, introduced by Dolado, Gonzalo, and Mayoral, which are inefficient. In the presence of short range serial correlation, we propose a simple and efficient two-step test that avoids the estimation of a nonlinear regression model. In addition, the first-order asymptotic properties of the proposed tests are not affected by the preestimation of short or long memory parameters.

We analyze use of a quasi-likelihood ratio statistic for a mixture model to test the null hypothesis of one regime versus the alternative of two regimes in a Markov regime-switching context. This test exploits mixture properties implied by the regime-switching process, but ignores certain implied serial correlation properties. When formulated in the natural way, the setting is nonstandard, involving nuisance parameters on the boundary of the parameter space, nuisance parameters identified only under the alternative, or approximations using derivatives higher than second order. We exploit recent advances by Andrews (2001) and contribute to the literature by extending the scope of mixture models, obtaining asymptotic null distributions different from those in the literature. We further provide critical values for popular models or bounds for tail probabilities that are useful in constructing conservative critical values for regime-switching tests. We compare the size and power of our statistics to other useful tests for regime switching via Monte Carlo methods and find relatively good performance. We apply our methods to reexamine the classic cartel study of Porter (1983) and reaffirm Porter's findings.

Many tests of asset-pricing models address only the pricing predictions, but these pricing predictions rest on portfolio choice predictions that seem obviously wrong. This paper suggests a new approach to asset pricing and portfolio choices based on unobserved heterogeneity. This approach yields the standard pricing conclusions of classical models but is consistent with very different portfolio choices. Novel econometric tests link the price and portfolio predictions and take into account the general equilibrium effects of sample-size bias. This paper works through the approach in detail for the case of the classical capital asset pricing model (CAPM), producing a model called CAPM+?. When these econometric tests are applied to data generated by large-scale laboratory asset markets that reveal both prices and portfolio choices, CAPM+?is not rejected. © The Econometric Society 2007.