The Robustness of the APT to Alternative Estimators

We test the robustness of the APT to two alternative estimation procedures: the Fama and MacBeth (1973) two-step methodology; and the one-step procedure due to Burmeister and McElroy (1988). We find that the APT is indeed sensitive to the chosen estimator and assumptions about the factor structure of stock returns. We believe that our findings have implications for the estimation of asset pricing models in general.     

The Coevolution of the Real and Financial Sectors in the Growth Process

The role of debt and equity changes over time and with the levelof development. What are these changes, and why should theysystematically occur across different countries and time periods?This article characterizes financial innovation as a dynamicprocess that both influences and is influenced by the developmentof the real sector. It focuses on the emergence and developmentof equity markets, using a model that allows for growth andfor capital accumulation that is financed externally througha combination of debt and equity. As an economy develops, theaggregate ratio of debt to equity will generally fall; yet,debt and equity remain complementary sources for the financingof capital investments. The results suggest how various governmentpolicy actions might affect capital accumulation and equitymarket activity.     

Condition-Based Depreciation — The Engineering Perspective

Condition-based depreciation (CBD) is a method of accounting for the combined maintenance and renewal effort required to ensure infrastructure asset networks retain their service potential. CBD methods entail the calculation of an annuity based on detailed asset management plans, which forecast works programs over the foreseeable lifecycle of the network and link them to service need projections. CBD has not gained wide acceptance by the accounting profession, because of concerns about the methos underlying assumptions and potential problems with its application. These concerns are analysed from the perspective of the engineering profession (which is frequently the custodian of such assets), and the feasibility of the method demonstrated in a number of case studies.     

Statistical Decision Problems and Bayesian Nonparametric Methods

This paper considers parametric statistical decision problems conducted within a Bayesian nonparametric context. Our work was motivated by the realisation that typical parametric model selection procedures are essentially incoherent. We argue that one solution to this problem is to use a flexible enough model in the first place, a model that will not be checked no matter what data arrive. Ideally, one would use a nonparametric model to describe all the uncertainty about the density function generating the data. However, parametric models are the preferred choice for many statisticians, despite the incoherence involved in model checking, incoherence that is quite often ignored for pragmatic reasons. In this paper we show how coherent parametric inference can be carried out via decision theory and Bayesian nonparametrics. None of the ingredients discussed here are new, but our main point only becomes evident when one sees all priors—even parametric ones—as measures on sets of densities as opposed to measures on finite-dimensional parameter spaces.     

Initial public offerings in the gaming industry: an empirical study

The fastest growing segment of the hospitality industry is gaming-related business. This industry has experienced record numbers of companies going public, and their stocks are considered favorable long-term investments. Research in the initial public offering (IPO) area suggests that investors acquiring stock at the initial offering price earn large returns. The purpose of this study was to determine if large returns are being experienced for IPOs in the gaming segment of the hospitality industry, and if these large returns were limited to investors who purchased the stock at the initial offer price. There were 14 gaming-related companies selected for the study. The conclusions supported research reporting that the highest returns from IPO investments are made when the stock is purchased at the initial offer price. This study concludes that returns based on the initial offer price were greater than the casino index and the IPO index. When the investor purchased the stock at the first day's closing price, however, returns compared to the two indices were surpassed only after holding the stock for 8 weeks.     

Beyond Self-Regulation: Towards A Critique of Self-Regulation As A Control Strategy For Hazardous Activities*

After highlighting some of the key issues and positions in the debate around appropriate preventive regulation, the paper presents a number of observations directed at the proponents of greater self-regulation. These observations confront directly a number of familiar, but often unchallenged, arguments for self-regulation. More centrally we address claims concerning, the extent to which the chemicals industries have a good and improving ‘safety’ record; and whether the sector consists of companies both motivated and capable in the context of effective crisis and disaster management. Lastly, the paper sets out some ‘new directions’ for the nature and role of regulation in the effective prevention of crises. Thus the paper indicates a number of regulatory developments which are distinct from any shift towards greater self-regulation, but which would result in more effective crisis and disaster prevention in the UK chemicals industries and, indeed, beyond that specific sector.     

On the Role of Weight Restrictions in Data Envelopment Analysis

This paper examines the role that weight restrictions play in Data Envelopment Analysis (DEA). It is argued that the decision to include a factor (input or output) in a DEA model represents an implicit judgement that the factor has a non-trivial weight. It therefore seems perverse to allow DEA to assign a trivial weight to that factor in assessing the efficiency of a unit. There is therefore a strong case for imposing restrictions on factor weights. However, many existing methods of weight restriction are in practice unwieldy. This paper proposes an alternative approach we term contingent weight restriction which is both practical and intellectually consistent with the DEA philosophy. The paper explores the implications of alternative methods of weight restriction using simulated data from a well known production process.     

Integration in the mortgage market

The deregulatory trend and advances in technology during the 1980s removed many restrictions on the ability of U.S. depository financial institutions to obtain and redistribute funds across diverse geographical markets. This pervasive deregulation and innovation should have increased the degree of integration between different geographical financial markets. Yet there is little empirical evidence available on the validity of this expectation. It is important to provide such evidence since much of the U.S. depository institution regulatory policy is predicated on the assumption of highly localized, segmented financial markets. Considering alternative breakpoints at 1980 (DIDMCA) and at 1982 (Garn-St Germain), the current study tests the hypothesis that the degree of geographical financial integration after this period exceeded that prior to this period. Mortgage markets are focused on due to their historical importance in the regulation of funds flows. The study finds a significant increase in the mean contemporaneous correlation among FHLB districts' mortagage rate residuals in a vector-autoregressive system between two test periods. Further analysis shows that the distance between FHLB districts' headquarters and their respective pairwise interdistrict correlation coefficients are negatively related in the prior period but not significantly related in the later period. Economic booms and busts alternated among the districts over the two sample periods in a manner consistent with the reallocation of capital among more integrated financial markets. Individual districts' mortgage rates have been more sensitive to variations in national credit market conditions since deregulation was legally recognized by DIDMCA in 1980. Thus, the collective empirical evidence found in this study indicates that mortgage markets have responded to deregulation and marked technological advances by moving toward a national, highly integrated market. Regulators' preoccupation with highly localized, segmented markets must consequently be reexamined.