Recovery of hidden information from stock price data: A semiparametric approach

This paper proposes a new methodology for measuring announcement effect on stock returns. This methodology requires no prior specification of the event day, event, and estimation windows, and therefore is a generalization of the traditional event study methodology. The dummy variable, which indicates whether the event occurred or not, is treated as missing. The unconditional probability of abnormal return is estimated by the EM algorithm. The probability that announcement is effective and the average announcement effect are estimated by the Gibbs sampler. How the method works is demonstrated on simulated data and IBM stock price returns.     

Environmental Change, Leadership Succession and Incrementalism in Local Government

A theoretical model of strategic budgetary choices in local government is developed and tested. The model assumes that expenditure decisions are a function of changes in environmental circumstances and the characteristics of local leaders. Environmental change is operationalized through measures of workload, munificence and regulatory controls. Leadership succession is defined as the turnover in managerial and political élites. These environmental and leadership variables are included in a multivariate statistical model of budgetary incrementalism. The model is tested on the spending decisions of 402 English local authorities from 1981 to 1996. The empirical results suggest that the extent of budgetary change is influenced strongly by environmental change but weakly by leadership succession. Furthermore, environmental constraints became tighter during the study period. The characteristics of public sector organizations that impose limits on the strategic choices of new leaders are identified.     

Model misspecification effects for biased samples

The model misspecification effects on the maximum likelihood estimator are studied when a biased sample is treated as a random one as well as when a random sample is treated as a biased one. The relation between the existence of a consistent estimator under model misspecification and the completeness of the distribution is also considered. The cases of the weight invariant distribution and the scale parameter distribution are examined and finally an example is presented to illustrate the results.     

Seasonal Variation in Cost-of-Funds at Thrift Institutions

The purpose of this note is threefold. First, in addition to the well-known seasonal pattern to the eleventh-district cost-of-funds (COF), we document a twelve-month seasonal in the national median COF. Second, we demonstrate that the cause of seasonality in each of these COF series is due to the maladjustment of length-of-month effects. In particular, the eleventh-district COF is biased upwards in relatively short months while the national median is biased downward. Third, we show that the popular partial adjustment model for modeling the COF is misspecified.     

Perspective: New Product Failure Rates: Influence of Argumentum ad Populum and Self‐Interest

A persistent myth in product innovation and management is that the failure rate of new products is 80% or higher. How does this false idea continue to displace the conclusions of empirical studies since 1977 that the new product failure rate is 40% or less? We examine the influence of a fallacy that encourages people's unthinking acceptance of ideas on new product failure rates and whose appeal rests primarily on an emotional, rather than a reasoned, argument. Self‐interest also plays a major role in keeping this myth alive.