Are differences in firm size transitory or permanent?

An Erratum for this article has been published in Journal of Applied Econometrics 18(2) 2003, 249 Previous empirical work on corporate growth rates using cross‐section or short‐panel econometric techniques suggests that growth rates are random but that some degree of mean reversion exists. This means that size differences between firms are transitory. Another, more natural way to explore the long‐run distribution of firm sizes is to examine data on the growth of particular firms over long periods of time. Using a sample of 147 UK firms observed continually for more than 30 years, our conclusions are that growth rates are highly variable over time and that differences in growth rates between firms do not persist for very long. Further, firms show no tendency to converge to either a common size or to a pattern of stable size differences over time. These results are compared and contrasted with standard approaches that suggest that firms reach and maintain stable positions in a skewed size distribution. Copyright © 2002 John Wiley & Sons, Ltd.     

中国负债知多少？

【美国《华尔街日报》7月23日】中国的隐性债务可能成为一大麻烦。     

Is your vision consistent?: A method for checking, based on scenario concepts

Common sense tells us that the future is an essential element in any strategy. In addition, there is a good deal of literature on scenario planning, which is an important tool in considering the future in terms of strategy. However, in many organizations there is serious resistance to the development of scenarios, and they are not broadly implemented by companies. But even organizations that do not rely heavily on the development of scenarios do, in fact, construct visions to guide their strategies. But it might be asked, what happens when this vision is not consistent with the future? To address this problem, the present article proposes a method for checking the content and consistency of an organization's vision of the future, no matter how it was conceived. The proposed method is grounded on theoretical concepts from the field of future studies, which are described in this article. This study was motivated by the search for developing new ways of improving and using scenario techniques as a method for making strategic decisions. The method was then tested on a company in the field of information technology in order to check its operational feasibility. The test showed that the proposed method is, in fact, operationally feasible and was capable of analyzing the vision of the company being studied, indicating both its shortcomings and points of inconsistency.     

Nonlinear dynamics and competing behavioral interpretations: Evidence from intra‐day FTSE‐100 index and futures data

Extant empirical research has reported nonlinear behavior within arbitrage relationships. In this article, the authors consider potential nonlinear dynamics within FTSE‐100 index and index‐futures. Such nonlinearity can be rationalized by the existence of transactions costs or through the interaction between informed and noise traders. They consider several empirical models designed to capture these alternative dynamics. Their empirical results provide evidence of a stationary basis term, and thus cointegration between index and index‐futures, and the presence of nonlinear dynamics within that relationship. The results further suggest that noise traders typically engage in momentum trading and are more prone to this behavior type when the underlying market is rising. Fundamental, or arbitrage, traders are characterized by heterogeneity, such that there is slow movement between regimes of behavior. In particular, fundamental traders act more quickly in response to small deviations from equilibrium, but are reluctant to act quickly in response to larger mispricings that are exposed to greater noise trader price risk. © 2006 Wiley Periodicals, Inc. Jrl Fut Mark 26:343–368, 2006     

Volatility clustering and the bid–ask spread: Exchange rate behavior in early Renaissance Florence

This paper investigates the nature and behavior of the domestic (local) currency market that existed in Florence (Italy) during the late 14th and early 15th centuries (a.k.a. the Early Renaissance). We find that the extant volatility and microstructure models developed for modern asset markets are able to describe the statistical volatility properties observed for the denaro-florin exchange rate. Volatility is clustered and is related to the bid–ask spread. This supports the notion that, although there are huge social, industrial and technological differences between capitalism then and now, individuals trading financial assets in an organized venue behave in a similar manner.     

Manifestations of compulsiveness in the consumer-marketplace domain

The marketing literature exhibits a consistent lack of concern to recognize the distinct differences among the various possible manifestations of compulsiveness in the consumer-marketplace domain. The practice of using terms pertaining to different manifestations of compulsiveness synonymously, especially when the meaning of the term “compulsive behavior” is itself under debate, creates further semantic uncertainties that hinder typological endeavors in the budding area of abnormal or deviant consumer behavior. This article attempts to remove such uncertainties by elucidating and establishing the differences among the above manifestations.     

Options on bond futures: Isolating the risk premium

The introduction of unspanned sources of risk (and frictions) implies that option prices include a risk premium. Prima facie evidence of the existence of risk premia in option prices is contained in the implied volatility smile patterns reported in the literature. This article isolates the risk premium (defined as the simple difference between estimated and observed option prices) on options on U.K. Gilts, German Bunds, and U.S. Treasury bond futures using models that include price jumps and stochastic volatility. This study finds that single and multi‐factor stochastic volatility models with jumps may explain the empirical regularities observed in bond futures. © 2003 Wiley Periodicals, Inc. Jrl Fut Mark 23:169–215, 2003     

Responsibility, Taint, and Ethical Distance in Business Ethics

Much light can be shed on events which characterize or underlie scandals at firms such as Enron, Arthur Andersen, Worldcom, ImClone, and Tyco by appealing to the notion of ethical distance. Various inquiries have highlighted the difficulties in finding or identifying particular individuals to blame for particular events, and in the context of situations as complex as these it can sometimes be helpful to investigate the comparative ethical distance of various participants in these events. In this essay I offer a characterization of ethical distance in terms of moral responsibility, and in doing so I describe and illustrate the rough inverse correlation between moral distance and degrees of moral responsibility. I urge that the concept of ethical distance is capable of shedding light upon situations in which several people are involved in bringing about a state of affairs. I then argue that moral responsibility cannot do justice to all situations involving ethical distance. When the distance between a person and a state of affairs grows sufficiently large, a different type of treatment is called for, and I introduce the notion of moral taint to describe the moral status of agents in these situations.     

Projecting the future size and health status of the U.S. elderly population

"A projection model based on a multivariate continuous state, stochastic process is presented. The model allows multiple time-varying covariates to be used so parameters can be estimated from time series information on health changes and mortality, and their interaction. Health changes are simulated by altering parameters controlling the age trajectory and diffusion of risk factor means, variances, and covariances....By increasing the information used in projections it may be possible to better (a) anticipate the state of health at extreme ages, (b) forecast changes in health at specific ages over time, (c) stimulate the effects of specific interventions, and (d) determine the sensitivity of outcomes to a range of interventions."