Global diversification strategy and corporate profit performance

Based on a sample of 62 multinationals, this paper examines the impact of global diversification strategy on corporate profit performance by integrating the product and the international market dimensions of diversification. The results suggest that the corporate profit performance impact of related and unrelated diversification varies contingent upon the extent of a firm's international market diversification. One important lesson of this work is that both business strategy researchers and managers should review corporate diversification as having distinct yet interactive strategic dimensions—product and international market—and they would do well to recognize both the different and the joint effect of these dimensions on corporate profit performance.     

Changing multinational corporation — nation state relationship: The case of IBM in India

During 1977, IBM was asked to withdraw from India due to its unwillingnesss to comply with the Foreign Exchange Regulation Act (FERA) of 1973. However, with (1) the signing of Memorandum of Understanding between the U.S. and India, (2) the easing of trade restrictions by the Government of India against foreign firms, (3) the declining value of the U.S. dollar, (4) the slump in the U.S. computer market, (5) the rapid growth in the Indian computer market, and (6) changes in other environmental factors, IBM again began actively seeking and securing new business. By the mid-1980s, IBM had secured a number of large contracts and was on the verge of re-entry into the burgeoning Indian computer market.The purpose of this study is to examine the underlying factors that influence both the divorce and reunification between host country government and the multinational corporation. The study, conducted through personal interviews with chief executives of IBM, government officials, and other knowledgeable persons, examines the social-political aspects of the FERA and its implications for multinationals in India and elsewhere in developing countries.     

PREDICTING PRIVATE COMPANY FAILURE

Private company failure is a significant problem that is not fully addressed by existing research. This study develops a discriminant model from data on 107 private companies. The model predicts success and failure, based on six ratios obtained from the two immediately prior years' publicly available accounting reports. Based on a hold-out sample of 40 companies a prediction with 85% accuracy was achieved. This prediction was made one year ahead. The model indicates that the retained earnings/total assets, total liabilities/total assets, and shareholders funds/total liabilities ratios are the three major predictors of bankruptcy. Overall the model's coefficients are, as expected, substantially different to those of public company models.     

VALUATION EFFECTS OF OPEN MARKET STOCK REPURCHASES FOR FINANCIALLY WEAK FIRMS

We test the proposition that announcements of open market stock repurchases improve the flow of positive information regarding the firm's prospects, particularly for financially weak firms. For financially strong firms with already good prospects for cash flows, the role of stock repurchases is less important. We provide evidence for an inverse relationship between financial risk, measured by bond rating, and the magnitude of stock repurchase-induced abnormal returns. Results also suggest that the value of information implied by announcements of open market repurchases about increases in cash flows and leverage, is more important for financially weak firms than for financially strong firms.     

Bias in estimates of discrimination and default in mortgage lending: The effects of simultaneity and self-selection

The common practices of estimating single-equation models of mortgage rejection to test for discrimination in mortgage markets or single-equation ex ante mortgage default equations to validate underwriting criteria produce biased and inconsistent parameter estimates. This is due to problems of simultaneous equations bias which arise because, in a world of imperfect information, mortgage terms are not exogenous to the rejection or default decision. In addition, mortgage default estimates are also subject to selection bias. Monte Carlo experiments are used to study the nature and extent of likely bias in single-equation estimation results. We find that rejection equation estimates indicate discrimination when none exists and that estimated coefficients of mortgage terms, such as the loan-to-value ratio, are also subject to significant bias in both rejection and default equations.     

The discipline of innovation.

As managers recognize the heightened importance of innovation to competitive success, they face an apparent paradox: the orderly and predictable decisions on which a business rests depend increasingly on the disorderly and unpredictable process of innovation. How can managers expect to plan for--or count on--a process that is itself so utterly dependent on creativity, inspiration, and old-fashioned luck? Drawing on his many years' experience studying innovative and entrepreneurial companies, the author argues that this paradox is apparent only, not real. Most of what happens in successful innovations is not the happy occurrence of a blinding flash of insight but, rather, the careful implementation of an unspectacular but systematic management discipline. At the heart of that discipline lies the knowledge of where to look for innovation opportunities and how to identify them. It is to this study of the sources of innovation that Mr. Drucker here addresses himself.     

Teaching ideas for the commencement of the governmental accounting source

Many undergraduate accounting students enter their first course in governmental accounting with a negative attitude about the subject. This is due, in part, to the fact that after several courses in “accounting,” the governmental course presents methods and procedures which are quite different and are, therefore, suspect. This paper encourages an approach to the course which can overcome this bias by providing an appropriate context from which to commence the course.     

Nonlinear models with panel data

Panel data play an important role in empirical economics. With panel data one can answer questions about microeconomic dynamic behavior that could not be answered with cross sectional data. Panel data techniques are also useful for analyzing cross sectional data with grouping. This paper discusses some issues related to specification and estimation of nonlinear models using panel data.JEL Classification: C230The research behind this paper was supported by the National Science Foundation, the Gregory C. Chow Econometric Research Program at Princeton University, and Danish National Research Foundation (through CAM at the University of Copenhagen). The author thanks Ekaterini Kyriazidou, Hong Li, Marina Sallustro, and the editors for helpful suggestions.     

Distribution of parallel exchange rates in African countries

This paper investigates the distribution of parallel exchange rates in African countries using exploratory data analysis techniques and model fitting. Stable laws are fitted to empirical distributions using the maximum likelihood estimation method. Empirical evidence supports the stable hypothesis these distributions are positively skewed and have tails that are much heavier than Gaussian counterparts. The stable hypothesis is further supported by the “converging variance test,” which suggests that these distributions have infinite variance.