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.     

Termination of distressed residential mortgages: An empirical analysis

A sample of 209 distressed mortgages is used to analyze the terminations of distressed mortgages. An option-based model is compared to a traditional default model. Results show that the traditional model is statistically superior. However, the model's ability to identify a default is similar to that of the simpler option-based model. Alternative measures of borrower's equity are compared. Measuring borrower's equity using total debt more accurately explains default than using either the mortgage balance or the mortgage value.     

Statistical properties of returns: Financial assets versus commercial real estate

This study examines the distribution of commercial real estate returns by region (east, midwest, south, and west), by property type (office, retail, R&D office, and warehouse) and in the aggregate, and compares their distributions to those of financial assets. Nominal and real returns are examined for quarterly, semiannual, and annual periods. The quarterly nominal returns on the financial assets are mostly normal with very little indication of autocorrelation. In contrast, non-normality and autocorrelation are present in most of the nominal quarterly real estate series. The non-normality is greatly reduced when semiannual or annual returns are considered or when the quarterly series are corrected for autocorrelation. The non-normality is also lower for real returns than it is for nominal returns.     

Data Aggregation Issues for Crop Yield Risk Analysis

With increased emphasis on risk management in agriculture and a lack of disaggregated or farm‐level yield time series, decision makers are often faced with having to make adjustments to temporal yield risk measures obtained from readily available but aggregated yield data. This paper provides some empirical evidence on what type of aggregation bias to expect when measuring temporal yield risk using yield observations averaged across a region relative to yield risk estimated from quarter‐section yield time series in wheat. This study highlights some of the challenges faced when estimating aggregation distortions in measuring yield risk defined by temporal variance, especially given the nature of the empirical data set used. Cluster analysis, visual examination of relative frequency distributions and mapping of yield risk clusters suggest that using a readily available, aggregate temporal yield risk measure has the tendency to underestimate yield risk observed at the quarter‐section level and that clear, geographic yield risk boundaries do not exist in municipalities or across larger areas in this study. Further research on crops more risky than wheat appears promising. Avec un plus grand intéret sur la gestion du risk dans l'agriculture et un manque de données détaillees ou bien de collections de séries temporelles sur les rendements, les décideurs sont souvent tenus d'apporter des correctifs aux measures du risk obtenues a partir des données de rendements qui sont disponibles. Cet artcle apporte une preuve empirique du type de biais lie a l'agrégation qui peut être présent dans le calcul du risk de rendement temporel obtenu a partir de rendements moyens de blé observés au niveau régional en comparaison du risk de rendement qui est estimé a partir de données basées sur des quart‐de‐sections. Cette étude met en exergue quelques uns des obstacles qui se présentent dans l'estimation de distosions liées a l'aggrégation dans le calcul du risk de rendement défini par la variance temporelle, speciallement étant donne la charactère empirique des données utilisées. L'analyse de groupe, l'examen visual de la distribution des fréquences relatives, et la cartographie de classes de risk de rendement suggèrent que l'utilisation de la measure du risk de rendement basée sur des données disponibles de risk aggrège temporel a tendence a sousestimer le risk de rendement observe au niveau des quart‐de‐sections et qu'il n'y a pas de frontières de risk de rendement certaines, géographiques qui existent entre les municipalités ou bien a travers les zones plus larges examinées dans cette etude.     

Towards a cohesive curriculum tourism: The case for a distinct discipline

This paper addresses a controversial topic in tourism scholarship which is simultaneously a problem and an opportunity in tourism education: the philosophical issue of academic disciplines and specifically, the question of a distinct discipline in tourism studies. It is argued that the orthodox approach to tourism education, multi-disciplinary studies, has become an impediment. It is suggested that a new discipline can be created by organizing the existing body of knowledge and that such a discipline can become the core of an inter-disciplinary approach. Certain characteristics of an embryonic discipline are outlined and innovations in this area at Sydney Technical College are discussed.     

Explaining intercity home price differences

This paper develops and tests an equilibrium model seeking to explain intercity variation in owner-occupied housing prices. Empirical tests with a reduced form equation using aggregated 1980 data on 94 SMSAs suggest explanation for 84% of this intercity home price variation. Intercity housing demand, based upon homeowner quality of life equilibrium, is successfully represented by the non-monetary income determinant of climate mildness in addition to several monetary income determinants that reflect household residual after-tax real income. Intercity housing supply was found to be influenced by intercity variation in construction costs and limitations upon the available supply of undeveloped urban land.     

Lining Up for Star-Wars Tickets: Some Ruminations On Ethics and Economics Based on An Internet Study of Behavior in Queues

Queues may represent business ethics in microcosm: they provide an opportunity to study in a smaller package the fundamental ethical tension in economic activity between self-interest and civility in the context of uncertainty and stress. In May 1999 people began forming lines to purchase tickets to the new Star Wars movie "The Phantom Menace." This paper reviews responses to a questionnaire on the internet regarding experiences in those lines. It focuses on two behaviors threatening queue discipline – the formation of cooperative groups and "pre-scalping." It concludes that although queues are complex phenomena, exhibiting important ethical, economic, social, and psychological elements, the general organizing principle of "first-come-first-served" still provides the foundation for queues while at the same time making room for a variety of legitimate modifications. Second, this paper concludes that, as with queues, the thought that self-interest is the exclusive guiding principle for business behavior is likewise too narrow, inducing participants to neglect opportunities for personal enrichment and satisfaction.