GLAMOUR VERSUS VALUE: TRADING BEHAVIOR OF INSTITUTIONS AND INDIVIDUAL INVESTORS

We design a new metric to measure the net buying and selling by institutions and individual investors and find that from 1980 to 2004 institutional investors were net buyers of growth stocks and net sellers of value stocks, implying that individual investors were net buyers of value stocks and net sellers of glamour stocks. The institutional preference for glamour and value stocks seems to be related to sell‐side analysts' recommendations and recent favorable stock price performances, especially during the post‐1994 period. Finally, the institutional buying of growth stocks and sale of value stocks was not based on superior information.     

Are recent segment disclosures of Japanese firms useful?: Views of Japanese financial analysts

Since 1990, the Japanese Ministry of Finance (MOF) has required Japanese firms to disclose segment data in annual financial statements. Using a survey instrument, we examine whether Japanese analysts find these segment disclosures to be useful. Our study finds that analysts perceive that segment data aid them in forecasting consolidated sales and net income. However, results also show that analysts are concerned that Japanese firms do not define segments meaningfully and consistently and are arbitrary in the allocation of common costs. Further, the analysts do not believe that the usefulness of segment data improves when it is audited. These results have implications for investors in Japanese stocks and accounting policy bodies, such as the US Securities and Exchange Commission (SEC).     

Pricing U.S. Dollar Index Futures Options: An Empirical Investigation

This paper develops a pricing model and empirically tests the pricing efficiency of options on the U.S. Dollar Index (USDX) futures contract. Empirical tests of the model indicate that the market consistently overprices these options relative to the derived model. This overpricing is more pronounced for out‐of‐the‐money options than for in‐the‐money options and more pronounced for put options than for call options. To validate the above results, delta neutral portfolios are created for one‐ and two‐day holding periods and consistently generate positive arbitrage profits, indicating that on average the market overprices the options on the USDX futures contracts.     

The EC‐LQO five‐factor framework: An alternative lens for business model innovation in highly knowledge‐intensive industries

Growing technological complexity continues to drive firms to interact with the external innovation environment to achieve firm success. However, industries' complexities and the business model concept's underlying ontology have limited research on modeling the key factors that enable this interface. In this study, results of an empirical analysis of a unique dataset of 102 biopharmaceutical companies broadly support the EC‐LQO five‐factor framework as a useful tool to guide business model innovation for highly knowledge‐intensive environments.     

Federal capital expenditures and budget deficits: Gross national product and labor implications

The issue of separating capital from operating expenditures has been largely ignored in discussions of the U.S. Federal Government's deficit. This paper attempts to overcome this void by conducting a simulation experiment designed to assess the macroeconomic consequences of separating capital from current expenditures under several alternative balanced budget rules and financing arrangements. The alternatives considered are directly related to management accounting issues and thus the purpose of this paper can be seen as compatible with the literature on the relationship between accounting techniques and economic analyses. The results of the study reaffirm the need for federal capital investment planning.     

Injury count model for quantification of risk of occupational injury

Reduction of risk of occupational injuries is one of the most challenging problems faced by industry. Assessing and comparing risks involved in different jobs is one of the important steps towards reducing injury risk. In this study, a comprehensive scheme is given for assessing and comparing injury risks with the development of injury count model, injury risk model and derived statistics. The hazards present in a work system and the nature of the job carried out by workers are perceived as important drivers of injury potential of a work system. A loglinear model is used to quantify injury counts and the event-tree approach with joint, marginal and conditional probabilities is used to quantify injury risk. A case study was carried out in an underground coal mine. Finally a number of indices are proposed for the case study mine to capture risk of injury in different jobs. The findings of this study will help in designing injury intervention strategies for the mine studied. The job-wise risk profiles will be used to prioritise the jobs for redesign. The absolute indices can be applied for benchmarking job-wise risks and the relative indices can be used for comparing job-wise risks across work systems.     

Hybrid value creation: a systematic review of an evolving research area

This systematic review analyses literature on the work of hybrid value creation, i.e. the process of generating additional value by innovatively combining products (tangible component) and services (intangible component). A state of the art report on hybrid value creation is delivered by first systematically identifying and then analyzing 169 publications focusing on hybrid value creation. The identified publications are clustered into eight categories based on their links and interactions and thus a mapping of this evolving field is suggested. A discussion and reflection of the findings with respect to the pervasiveness of literature and the research methodologies used is provided. The paper concludes by identifying some dominant strategic gaps in the overall research landscape and provides directions for future research.     

Optimal restructuring under a political constraint

This paper considers the generalised second-best analytics of optimal restructuring under a political constraint, building on the modelling approach in Dehejia (1997, CEPR Discussion Paper No. 1552, Centre for Economic Policy Research, London, January 1997). It is shown that the second-best optimum entails administering the terms-of-trade shock fully at the initiation of the reform, just as in shock therapy, but that this must be supplemented with interventions in domestic factor markets. The effects of these interventions are to speed up the exit of the politically affected factor, labour, and to retard the exit of the other factor, capital, both of which serve to prop-up the wages of workers in the declining sector and hence address the political constraint. The results are in the spirit of the neoclassical theory of distortions and welfare: the optimal intervention targets the affected margin directly, in consonance with the ‘targeting’ principle of Bhagwati–Ramaswami–Johnson.     

Modeling Clustered Ordered Categorical Data: A Survey

This article surveys various strategies for modeling ordered categorical (ordinal) response variables when the data have some type of clustering, extending a similar survey for binary data by Pendergast, Gange, Newton, Lindstrom, Palta & Fisher (1996). An important special case is when repeated measurement occurs at various occasions for each subject, such as in longitudinal studies. A much greater variety of models and fitting methods are available than when a similar survey for repeated ordinal response data was prepared a decade ago (Agresti, 1989). The primary emphasis of the review is on two classes of models, marginal models for which effects are averaged over all clusters at particular levels of predictors, and cluster-specific models for which effects apply at the cluster level. We present the two types of models in the ordinal context, review the literature for each, and discuss connections between them. Then, we summarize some alternative modeling approaches and ways of estimating parameters, including a Bayesian approach. We also discuss applications and areas likely to be popular for future research, such as ways of handling missing data and ways of modeling agreement and evaluating the accuracy of diagnostic tests. Finally, we review the current availability of software for using the methods discussed in this article.