Beyond clusters: Crafting contexts for innovation

The Review of Austrian Economics - Innovation requires cooperation among multiple actors spread across different organizations in order to fund, research, develop, scale-up and bring new products...     

Advantageous Semi-Collusion

The textbook view that cartels increase industry profits and lower consumer welfare ignores the effects of competition in other activities. A revisionist view shows that when cartel members compete in other activities, i.e. when they semi-collude, the cartel members may be worse off and consumers better off. Using a two-stage model in which the non-production activity is R&D and is subject to technological spillovers, we show that both the traditional and revisionist views can be wrong, that consumers and producers can both be made worse off, or both better off, by a semi-collusive production cartel.     

Liquidity Dynamics Across Small and Large Firms

In this paper, we analyse cross‐sectional heterogeneity in the time‐series variation of liquidity in equity markets. Our analysis uses a broad time‐series and cross‐section of liquidity data. We find that average daily changes in liquidity exhibit significant heterogeneity in the cross‐section; the liquidity of small firms varies more on a daily basis than that of large firms. A steady increase in aggregate market liquidity over the past decade is more strongly manifest in large firms than in small firms. Absolute stock returns are an important determinant of liquidity. We investigate cross‐sectional differences in the resilience of a firm's liquidity to information shocks. We use the sensitivity of stock liquidity to absolute stock returns as an inverse measure of this resilience, and find that the measure exhibits considerable cross‐sectional variation. Firm size, return volatility, institutional holdings, and volume are all significant cross‐sectional determinants of this measure.
(J.E.L.: D82, G10, G14).     

A temporal-spatial theory of consumer behavior

A theory of household consumption of goods, time and locomotion is proposed in which time allocation theory and urban economic theory are shown to be special cases. The contributions of this temporal-spatial theory in terms of enriching consumer behavior theory and of providing a robust basis for analyzing transportation economics are outlined.     

Analysts’ estimates of the cost of equity capital

We explore a large sample of analysts' estimates of the cost of equity capital (CoE) to evaluate their usefulness as expected return proxies (ERP). We find that the CoE estimates are significantly related to a firm's beta, size, book-to-market ratio, leverage, and idiosyncratic volatility but not other risk proxies. Even after controlling for the popular return predictors, the CoE estimates incrementally predict future stock returns. This predictive ability is better explained as the CoE estimates containing ERP information rather than reflecting stock mispricing. When evaluated against traditional ERPs, including the implied costs of capital, the CoE estimates are found to be the least noisy. Finally, we document CoE responses around earnings announcements, demonstrating their usefulness to study discount-rate reactions of market participants. We conclude that analysts' CoE estimates are meaningful ERPs that can be fruitfully employed in a variety of asset pricing contexts.     

Audited financial reporting and voluntary disclosure as complements: A test of the Confirmation Hypothesis

We examine the “confirmation” hypothesis that audited financial reporting and disclosure of managers' private information are complements, because independent verification of outcomes disciplines and hence enhances disclosure credibility. Committing to higher audit fees (a measure of financial statement verification) is associated with management forecasts that are more frequent, specific, timely, accurate and informative to investors. Because private information disclosure and audited financial reporting are complements, their economic roles cannot be evaluated separately. Our evidence cautions against drawing inferences exclusively from market reactions around “announcement periods” because audited financial reporting indirectly affects information released at other times and through other channels.     

Accruals, Cash Flows and the Post‐Earnings‐Announcement Drift

Abstract:   Several prior studies have shown that cash flows have significantly greater impact on stock prices than accruals. We examine the implications of these findings for the post‐earnings‐announcement‐drift anomaly. We argue that, if investors under‐react to earnings news, then the larger price impact of cash flows causes the cash flow component of earnings news to predict future returns better than the accruals component. Consistent with this argument, we show that unexpected cash flows are more positively related to future returns, than are unexpected accruals. Also, unexpected cash flows are found to predict future returns above and beyond that predicted by earnings surprises. Finally, we show that a strategy that decomposes earnings news into its components significantly outperforms strategies based on earnings news alone. The results support under‐reaction explanations for the drift.     

Cross-sectional estimation of abnormal accruals using quarterly and annual data: effectiveness in detecting event-specific earnings management

This paper addresses certain methodological issues that arise in estimating abnormal (or discretionary) accruals for detection of event-specific earnings management. Unlike prior studies (e.g., Dechow, Sloan, and Sweeney, 1995; Guay, Kothari, and Watts, 1996) that rely primarily on time-series models, we focus on the specification of cross-sectional models of expected accruals using quarterly as well as annual data. Perhaps more importantly, we present a variation of the Jones model that is shown to be well specified for all cash flow levels. We show that the cross-sectional Jones model yields systematically positive (negative) estimates of abnormal accruals for firms whose cash flows are below (above) their industry median. Using mean squared prediction errors as well as simulation analysis, we show that our model is more powerful than the cross-sectional Jones model in detecting earnings management. In addition, we examine differences in the power of current accrual models in detecting earnings management across audited and unaudited quarters.