The swing voter's curse with adversarial preferences

We analyze voting behavior in a large electorate in which voters have adversarial state-contingent preferences with incomplete information about the state of the world. We show that one type of voter can suffer from the swing voter's curse à la Feddersen and Pesendorfer [The swing voter's curse, Amer. Econ. Rev. 86 (1996) 408-424], and go on to characterize the symmetric Nash equilibria of this model under different parameter values. We prove that unlike settings with nonadversarial preferences, there are equilibria in which in one state of the world, a minority-preferred candidate almost surely wins the election and thus the election may fail to correctly aggregate information. Indeed, we show that the fraction of the electorate dissatisfied with the result can be as large as .     

Evidence of Asymmetric Information in the Automobile Insurance Market: Dichotomous Versus Multinomial Measurement of Insurance Coverage

In the empirical analysis of information asymmetry in automobile insurance markets, prior research used a dichotomous measurement approach that induces excessive bundling in coverage measurements and sample selection biases. To improve on the conditional correlation method for testing information asymmetry, we propose a multinomial measurement approach that constructs coverage categories at ordered multinomial levels. With this approach, we find robust evidence of information asymmetry in both coverage area and coverage amount choices, which we could not find with the dichotomous measurement approach. It thus demonstrates the sensitivity of the empirical findings to the method used to measure insurance coverage.     

The Relation Among Targets' R&D Activities, Acquirers' Returns, and In-Process R&D in the US

Abstract:  Using a sample of 129 mergers and acquisitions (M&As) in the US between publicly traded acquirers and targets in research and development (R&D) intensive industries over the period of 1994-2004 and a size- and industry-matched sample, we examine the relation among targets' R&D activities, the probability of acquirers' writing-off in-process R&D (IPRD), and acquirers' returns around the time of M&A announcements. We find that firms acquiring targets with higher R&D investments tend to write off some of the acquired R&D assets upon the completion of the M&As. We also find that the median cumulative abnormal return during the three days around M&A announcements for acquirers with subsequent IPRD write-offs is −2.73% while the return for acquirers without IPRD write-offs is −0.60%. This suggests that acquirers' stock returns around M&A announcements are much lower when investors expect acquirers to expense IPRD. The results are consistent with our conjecture that acquirers tend to write-off IPRD when they acquire overvalued targets. We also find that IPRD write-offs do not increase earnings or stock returns of acquirers after M&As, which is inconsistent with an earnings management hypothesis.     

Nonlinear Mean Reversion across National Stock Markets: Evidence from Emerging Asian Markets

This paper seeks empirical evidence of nonlinear mean-reversion in relative national stock price indices for Emerging Asian countries. It is well known that conventional linear unit root tests suffer from low power against the stationary nonlinear alternative. Implementing the nonlinear unit root tests proposed by Kapetanios et al. (2003 Kapetanios, G., Shin, Y. and Snell, A. 2003. Testing for a unit root in the nonlinear STAR framework. Journal of Econometrics, 112: 359–379. [Crossref], [Web of Science ®] , [Google Scholar]) and Cerrato et al. (2009 Cerrato, M., de Peretti, C., Larsson, R. and Sarantis, N. 2009. “A nonlinear panel unit root test under cross section dependence”. Working Papers 28, Department of Economics, University of Glasgow [Google Scholar]) for the relative stock prices of Emerging Asian markets, we find strong evidence of nonlinear mean reversion, whereas linear tests fail to reject the unit root null for most cases. We also report some evidence that stock markets in China and Taiwan are highly localized.     

When bad news is sugarcoated: Information distortion,organizational search and the behavioral theory of the firm

Most work in strategy and organization theory assumes that performance feedback is straightforward to interpret and truthfully reported. We raise the following question: How might the systematic distortion of negative performance information affect organizational learning and future performance? We formulate a model where (1) members do not always report the truth about what they know about their performance level, especially when performance is below aspiration and (2) their propensity to distort information is subject to social influence. We find that organizations that are characterized by a high level of information distortion tend to perform more poorly but that the effect of a low rate of sugarcoating may, in some conditions, be more benign than the literatures seem to suggest. Copyright © 2013 John Wiley & Sons, Ltd.     

Intertemporal production and intertemporal substitution in output supply and input demand

This article presents an intertemporal model of production with multiple inputs to investigate substitution opportunities facing firms over time. The firm’s intertemporal profit maximization problem is characterized with the familiar cost function, and various intertemporal substitution elasticities are delineated for output supply and input demand. The absence of intertemporal substitution in production can imply production smoothing, and allowance for intertemporal substitution in labour demand reinforces the prediction of the real business cycle model. For aggregate US manufacturing, we find substantial substitution in output supply and labour demand over time due to intertemporal changes in output price and wage rates.     

Are social entrepreneurs more risk-averse?

We have a conventional wisdom that risk-seeking behaviours are related to commercially oriented entrepreneurs. For this reason, most studies have focused on the context of commercial entrepreneurship, and thus we do not know the risk propensity of social entrepreneurs. Using the PSM method, contrary to our wisdom, we find that social entrepreneurs tend to more have about 15% risk-seeking propensity than commercial entrepreneurs.     

Auditor size, tenure, and bank loan pricing

Using a large sample of U.S. bank loan data from 1996 to 2008, we investigate the relation between two auditor characteristics, namely, auditor size and tenure, and loan interest rates. Our results show the following: First, we find that the loan interest rate is significantly lower for borrowers with prestigious Big 4 auditors than for borrowers with non-Big 4 auditors. Second, we find that auditor tenure is negatively associated with the loan interest rate, suggesting that a long client–auditor relationship lowers the loan borrowing cost. Third, we find that the negative association between auditor size and loan rate is more pronounced for transaction-based term loans than for relationship-based revolving loans. Fourth, our sub-period tests show that our results are driven by the post-Sarbanes–Oxley Act period. Our study provides direct evidence that auditor size and tenure are incremental credit risk-reducing factors in the bank loan market.     

Estimating the effects of monetary policy shocks: does lag structure matter?

This paper examines the implications of lag structure for estimating the effects of monetary policy shocks in a VAR. A symmetric lag structure in which all variables have the same lag length and an asymmetric lag structure in which the lag length differs across variables but is the same for a particular variable in each equation of the model are examined. This is important in light of the fact that the true lag structure is generally not known. Four commonly used identification schemes are employed to identify monetary policy shocks. Monte Carlo simulations strongly indicate that the lag structure of a VAR model does matter when assessing the quantitative effects of monetary policy shocks. Given the inherent uncertainty about the true lag structure in practice, it is thus important that one compare the impulse response functions from both symmetric lag and asymmetric lag VARs in assessing the effects of monetary policy shocks.     

Price discovery and volatility spillover in spot and futures markets: evidences from steel-related commodities in China

The price discovery and spillover effect are significant indicators in futures markets. This study examines the price discovery and spillover effects using vector error correction model and generalized autoregressive conditional heteroskedastic for seven types of steel products in Chinese spot and futures markets. The results show that the price discovery exists in all of steel futures market. It is also confirmed that futures prices in all items are mainly leading spot prices via permanent-transitory and information share. In the results of spillover effects, it is found that wire rod, coking coal, coke and silico-manganese have the effects between spot and futures market. In rebar market, there is the spillover effect from spot to futures. This information about futures prices can help the market participants to make decisions when they predict the spot prices.