Non-GAAP reporting following debt covenant violations

Review of Accounting Studies - We investigate whether firms change their non-GAAP reporting practices after debt covenant violations. We find that the likelihood that a firm will disclose non-GAAP...     

Cross‐Functional Integration: Concept Clarification and Scale Development

The centrality of cross‐functional integration (CFI) to supply chain theory and practice has long been recognized. Yet researchers continue to struggle with consistently defining or measuring the CFI construct, thus limiting the utility of CFI research. This research develops (1) a comprehensive definition of CFI that synthesizes previous supply chain research and (2) a valid set of scale items that measure the conceptual domain outlined by this definition. The goal is to build a common foundation for extending knowledge on CFI's antecedents and consequences, and ultimately to improve scholars’ ability to guide a broader practitioner community still struggling to achieve integration in their organizations.     

Productivity Growth and Some of Its Determinants in the Deregulated U.S. Railroad Industry

This study analyzes the effects of an important postderegulation innovation on rail freight productivity: the elimination of cabooses and related crew members. It also analyzes the overall growth of productivity in rail freight between 1983 and 1997 (using a translog rail cost function estimated over a sample of Class I railroads between 1983 and 1997). The results indicate that elimination of cabooses and associated crew members from freight trains reduced costs by 5-8% on the typical Class I railroad in 1997, equivalent to an annual cost saving of $2 billion to $3.3 billion for all Class I railroads. Moreover, if Class I railroads had no other technological advances since 1983, their 1997 costs (with 1997 factor prices) would have been 36-43% higher than they in fact were. Finally, the results show that overall productivity growth in rail freight did not decelerate between 1983 and 1997; if anything, it accelerated slightly.     

Age-test Markov chains for drug testing and detection

Random urinalysis strategies stratified by time since the last test are characterized with a set of Markov chain models. The probability of a person being tested depends on the amount of time since the person's last test. The Nuclear Regulatory Commission (NRC) has proposed a two strata drug testing strategy based on time since last test. The proposal included a high testing rate for people not yet tested in a given time period and a low testing rate for people testing negative in a given time period. Southern California Edison has implemented a variation of the NRC proposal. These strategies can be modeled within a Markov chain framework. Time to detection is calculated as a function of testing probabilities and drug usage levels. Drug user gaming strategies are discussed with illustrations. These models are implemented as part of a U.S. Navy drug policy analysis system.     

Collective strategies for improving environmental performance: A case study of the biotechnology industry

This paper examines the potential contributions of institutional theory and the collective strategies framework to assist managers in emerging industries in developing better means of addressing societal concerns. Lack of understanding and difficulties in communication between companies in the forefront of new technology developments and a society that is concerned about the environment have led to many of the problems facing the biotechnology industry. Measures intended to protect the environment from potential adverse effects have frequently restricted activities in the new biotechnology field, even though scientists are themselves convinced of the safety and control they exert over their new technologies. Collective strategies can be instrumental in stabilising certain aspects of the environment. Proper selection of issues and coordinated action can be helpful to all industry participants by informing public perceptions and government regulations and help insure that major environmental trends will evolve in a manner beneficial to all concerned.     

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.     

Indonesian Local Government Spending,Taxing and Saving: An Explanation of Pre‐ and Post‐decentralization Fiscal Outcomes*

As a result of Indonesia's decentralization program, local governments have gained significantly more responsibility for service delivery, considerably larger fiscal resources, and much greater authority over the use of those resources than before. The present paper develops a simple budget model to describe and explain the substantial differences in pre‐ and post‐decentralization local government fiscal behavior related to spending, taxing and saving. During the post‐decentralization period special attention is paid to the fiscal behavior of natural resource rich regions. Among other things, the evidence suggests that: post‐decentralization local government spending is partly responsive to increasing needs and partly the subject of elite capture; local government taxation has become more aggressive under decentralization and appears to be mostly driven by local bureaucratic expectations related to routine overhead budgets; and the increased savings of local governments during the post‐decentralization period is determined to a large degree by delayed central government transfer payments.