Policy Issues Raised by For-Profit Spinoffs from Professional Associations: An Evaluation of a Recent AICPA Initiative

This paper provides an evaluation of the spinoff of a for-profit company from the American Institute of Certified Public Accountants (AICPA), a nonprofit professional association. The evaluation is based on a review of the literature on public policy issues surrounding organizational conversions from nonprofit to for-profit legal status. Many criticisms of this for-profit spinoff were voiced by professional leaders and accounting regulators, and we demonstrate that these criticisms are grounded in widely recognized policy principles relating to nonprofit conversions. The public policy issues raised by this study have implications for the governance of professional associations in all disciplines.     

The catholic work ethic

In a recent Commentary in The International Executive (1992), Rüdiger Pieper complained that some, if not many of the (American) teachers in the new European business training institutes and schools knew relatively little about the cultures for which they were making management proposals. Further, the proposals themselves, based as they often were on American research, could not, he rightly felt, be directly applied to a business problem regardless of context. One could extend that observation to other business activities, including attitudes toward work. In particular, it would be useful to consider the “work ethic,” as it applies to Americans working abroad, and inquire about how it might affect international executives when they come to America.     

The Lowry Model Revisited: Incorporating a Multizonal Input-Output Model into an Urban Land Use Allocation Model

This paper formulates a new generation of Lowry-style models that combine a multizonal input-output model and an urban land use allocation model. Three different types of models are proposed: 1) an unconstrained model, 2) a primal of a linear programming approach that includes land supply constraints, and 3) a modified dual of the linear programming approach that allocates land based on additional conditions of economic efficiency. The modified dual formulation improves upon the limitations of Lowry models and their derivatives. First, the proposed model has sound theoretical underpinnings that incorporate the production theory of input-output models and the behavioral theory of optimization models. Second, the proposed model allocates land on the basis of economic efficiency by imposing a procedure that equalizes shadow prices. And third, the proposed model is an optimization model that fully accounts for the spatial and sectoral relationships of multiplier effects determining land use demand.     

Business Strategy and Poverty Alleviation

Currently, entrepreneurs and corporations overwhelmingly do not view the alleviation of global poverty as a strategic priority. Yet business activity can have a negative as well as a positive effect on each distinctive form of poverty. In order to reduce poverty, entrepreneurs have to find ways of limiting the negative aspects. This might be achieved by deliberately augmenting strategies so that they can achieve a synthesis, in partnership with governments and NGO’s. Alan E. Singer is a reader in strategy at the university of Canterbury. He was the 2004/5 Aram chair of Business Ethics at Gonzaga. He is author of Strategy as Rationality (Avebury), Co editor (with Pat Werhane) of Business Ethics in Theory and Practice (Kluwer) and editor of Business Ethics and Strategy (Ashgate, forthcoming). He has written journal articles on many aspects of strategy and decision making and has served on the editorial boards of Journal of Business Ethics (to 2003), Human Systems Management, Journal of International Entrepreneurship, African Journal of Business Ethics and the Journal of Economic Development and Business Policy.     

Measuring Integrated Market and Credit Risk in Bank Portfolios: An Application to a Set of Hypothetical Banks Operating in South Africa

The banking crises of the ‘90s emphasize the need to model the connections between financial environment volatility and the potential losses faced by financial institutions resulting from correlated market and credit risks. Due to the number of variables that must be modeled and the complexity of the relationships an analytical solution is not feasible. We present here a numerical solution based on a simulation model that explicitly links changes in the relevant variables that characterize the financial environment and the distribution of possible future bank capital ratios. This forward looking quantitative risk assessment methodology allows banks and regulators to identify potential risks before they materialize and make appropriate adjustments to bank portfolio credit qualities, sector and region concentrations, and capital ratios on a bank by bank basis. It also has the potential to be extended so as to assess the risks of correlated failures among a group of financial institutions (i.e., systemic risk analyses). This model was applied by the authors to the study of the risk profile of the largest South African Banks in the context of the Financial System Stability Assessment program undertaken by the IMF in 1999. In the current study, we apply the model to various hypothetical banks operating in the South African financial environment and assess the correlated market and credit risks associated with business lending, mortgage lending, asset and liability maturity matches, foreign lending and borrowing, and direct equity, real estate, and gold investments. It is shown to produce simulated financial environments (interest rates, exchange rates, equity indices, real estate price indices, commodity prices, and economic indicators) that match closely the assumed parameters, and generate reasonable credit transition probabilities and security prices. As expected, the credit quality and diversification characteristics of the loan portfolio, asset and liability maturity mismatches, and financial environment volatility, are shown to interact to determine bank risk levels. We find that the credit quality of a bank's loan portfolio is the most important risk factor. We also show the risk reduction benefits of diversifying the loan portfolio across various sectors and regions of the economy and the importance of accounting for volatility shocks that occur periodically in emerging economies. Banks with high credit risk and concentrated portfolios are shown to have a high risk of failure during periods of financial stress. Alternatively, banks with lower credit risk and broadly diversified loan portfolios across business and mortgage lending are unlikely to fail even during very volatile periods. Asset and liability maturity mismatches generally increase bank risk levels. However, because credit losses are positively correlated with interest rate increases, banks with high credit risk may reduce overall risk levels by holding liabilities with longer maturities than their assets. Risk assessment methodologies which measure market and credit risk separately do not capture these various interactions and thus misestimate overall risk levels.     

Modeling the day-of-the-week shopping activity and travel patterns

This research develops models that extend existing multi-day analyses of shopping activity patterns. The main hypothesis is that shopping activity choice behavior varies, depending on the day of the week. Using a nested logit model structure, this hypothesis is tested by developing models of daily activity choice behavior for each day of the week. In doing so, household activity choice behavior is represented by three stages, with a shopping activity participation decision as the highest stage, the scheduling decision as the next lower stage, and the number of shopping stops as the lowest stage. Empirical results confirm the nested logit model structure hypothesized in this study. Furthermore, it is found that major distinctions in the daily utility functions take place between the weekday and weekend models. However, differences among weekday models are also observed. This indicates that there appear to be behavioral differences even among weekdays although households are exposed to the same set of temporal constraints.     

Tactical Opportunities,Risk Attitude and Choice of Farming Strategy: an Application of the Distribution Method

When assessing farming strategies, it is important to account for the opportunities provided for tactically adjusting to outcomes of risk. The hypothesis that accounting for tactical adjustment is more important than accounting for risk attitude was supported in this study with regard to identifying the optimal drainage recirculation strategy for an irrigated dairy farm. Failing to account for tactical adjustment would lead to a sub-optimal choice, costing the farmer about A$3 100 in present value terms. In contrast, failing to account for risk aversion would not affect the strategy chosen. The distribution method was found to be well suited to modelling tactical adjustment.     

The market’s view on the probability of banking sector failure: cross-country comparisons

Hall and Miles (1990) suggest an approach of estimating default probabilities of banks using stock market information, and in this paper we apply an aggregated version of their approach to banking sectors around the world in both developed and emerging economies. We study the market’s assessment of the probability of systemic banking crises world wide over the last decade, including the Asian crisis 1997–1998. In addition, we investigate whether there is a relationship between the failure probability and institutional features of the actual banking sector. The quality of governance and the degree of law and order in a country is found to be significantly negatively related to the market based failure probabilities as is an explicit deposit insurance during periods of crisis.