Graphical analysis and financial classification: A case study

This paper illustrates the use of graphical analysis as a complementary diagnostic tool in financial classification problems. For more than two decades statistical models have been used frequently to understand the information content of multivariate data in the context of financial classification. These statistical classification models can be complemented by the use of computer-generated multidimensional data displays and graphical analysis. We illustrate the use of the scatterplot matrix, which is the simplest and very effective form of graphical analysis on a sample of bankrupt and non-bankrupt firms. The paper demonstrates the complementary nature of the scatterplot matrix for tree-structured classification models.     

Does industry-wide distress affect defaulted firms? Evidence from creditor recoveries

Using data on defaulted firms in the United States over the period 1982–1999, we show that creditors of defaulted firms recover significantly lower amounts in present-value terms when the industry of defaulted firms is in distress. We investigate whether this is purely an economic-downturn effect or also a fire-sales effect along the lines of Shleifer and Vishny [1992. Liquidation values and debt capacity: a market equilibrium approach. Journal of Finance 47, 1343–1366]. We find the fire-sales effect to be also at work: Creditors recover less if the industry is in distress and non-defaulted firms in the industry are illiquid, particularly if the industry is characterized by assets that are specific, that is, not easily redeployable by other industries, and if the debt is collateralized by such specific assets. The interaction effect of industry-level distress and asset-specificity is strongest for senior unsecured creditors, is economically significant, and robust to contract-specific, firm-specific, macroeconomic, and bond-market supply effects. We also document that defaulted firms in distressed industries are more likely to emerge as restructured firms than to be acquired or liquidated, and spend longer time in bankruptcy.     

Auditor Reputation,Auditor Independence,and the Stock‐Market Impact of Andersen's Indictment on Its Client Firms*

In this paper, we study a broad sample of Arthur Andersen clients and investigate whether the decline in Andersen's reputation, due to its criminal indictment on March 14, 2002, adversely affected the stock market's perception of its audit quality. Because these reputa‐tional concerns are more of an issue if an auditor's independence is impaired, we investigate the relationship between the abnormal market returns for Andersen clients around the time of the indictment announcement and several fee‐based measures of auditor independence. Our results suggest that when news about Andersen's indictment was released, the market reacted negatively to Andersen clients. More importantly, we find that the indictment period abnormal return is significantly more negative when the market perceived the auditor's independence to be threatened. We also examine the abnormal returns when firms announced the dismissal of Andersen as an auditor. Consistent with the audit quality explanation, we document that when firms quickly dismissed Andersen, the announcement returns are significantly higher when firms switched to a Big 4 auditor than when they either switched to non‐Big 4 auditors or did not announce the identity of the replacement auditor. Our empirical results support the notion that auditor reputation and independence have a material impact on perceived audit quality and the credibility of audited financial statements, and that the market prices this.     

The Predictive Power of Internet-Based Product Concept Testing Using Visual Depiction and Animation

One critical step in new product development is selecting from among multiple possible product concepts the one that the firm will carry forward into the marketplace. There is a need for low‐cost, parallel testing of the appeal of new product concepts, the results of which closely mirror ultimate market performance. In this article, the authors first describe an Internet‐based product concept testing method they developed that incorporates virtual prototypes of new product concepts, substituting them for physical prototypes. The method can be used with either static representations of the products or with dynamic representations that demonstrate how the product works through a simulated video clip of its operation. The objective of this method is to allow design teams to select the best of several new concepts within a product category with which to proceed, without having to develop physical prototypes. The authors then provide a rigorous test of both virtual prototype methods against tests using both physical prototypes and attribute‐only (i.e., no visuals), full‐profile conjoint analysis. Nine concepts compete against two actual products in the tests. Market shares from the test using the physical prototypes are defined as the “actual” market shares. Predicted market shares for the attribute‐only, full‐profile conjoint analysis and each of the two virtual prototype methods are compared to those obtained for the physical prototypes. Both static and animated virtual prototype tests produced market shares that closely mirrored those obtained with the physical products, outperforming the set of predictions across the full range of products produced in the attribute‐only conjoint analysis. Interestingly, the attribute‐only conjoint analysis identified the top three products, in correct order. It was unable to differentiate performance below these top three products. Furthermore, it predicted market shares for the top three products to be well below those achieved using physical prototypes. As virtual prototypes cost considerably less to build and test than their physical counterparts, design teams using Internet‐based product concept research may be able to afford to explore a much larger number of concepts. Virtual prototypes and the testing methods associated with them may help reduce the uncertainty and cost of new product introductions by allowing more ideas to be concept tested in parallel with target consumers.     

Testing for Unit Roots in Market Shares*

A unique characteristic of marketing data sets is the logical consistency requirement in market share models that market shares are bounded by 0 and 1, and they sum to unity. To take account of this logical consistency requirement, we propose to test for unit roots in individual market share series within the context of a market share attraction (MCI) framework. Our paper offers new contributions in testing for unit roots in market shares. First, a novel feature of our paper is that we propose a new unit root testing methodology designed to deal with the logical consistency requirement in market share models within the context of a market share attraction (MCI) framework. A second novel component of our paper is that we demonstrate how one could use the Johansen (1995) test to identify unit roots. This is implemented using Eviews software. The Johansen test is a system-based test rather than a single equation test; it is more appropriate given the dependencies in the market share relationships. Finally, we demonstrate using simulations that our procedure works well and improves substantially on the univariate Dickey-Fuller procedure. Accordingly, our procedure leads to better unit root inference than the univariate Dickey-Fuller method; the latter is not that reliable when dealing with market shares. We conclude the paper with suggestions for future research.     

The Relationship between Delegation and Incentives Across Occupations: Evidence and Theory

A large literature suggests that incentive pay and delegation of worker authority are positively related. Using data from a large cross section of British establishments, we show that the positive relationship found in the empirical literature masks a stark difference across jobs. Classifying jobs into two categories (complex jobs, including professional, technical and scientific occupations, and simple jobs, consisting of all other non‐managerial occupations) we find a positive relationship for simple jobs and a negative relationship for complex jobs. To explain this negative relationship, we develop a model where stronger incentives distort a worker's decisions towards low risk‐return tasks.     

Food consumption impacts of adherence to dietary norms in the United States: a quantitative assessment

Promotion of adherence to healthy-eating norms has become an important element of nutrition policy in the United States and other developed countries. We assess the potential consumption impacts of adherence to a set of recommended dietary norms in the United States using a mathematical programming approach. We find that adherence to recommended dietary norms would involve significant changes in diets, with large reductions in the consumption of fats and oils along with large increases in the consumption of fruits, vegetables, and cereals. Compliance with norms recommended by the World Health Organization for energy derived from sugar would involve sharp reductions in sugar intakes. We also analyze how dietary adjustments required vary across demographic groups. Most socio-demographic characteristics appear to have relatively little influence on the pattern of adjustment required to comply with norms. Income levels have little effect on required dietary adjustments. Education is the only characteristic to have a significant influence on the magnitude of adjustments required. The least educated rather than the poorest have to bear the highest burden of adjustment. Our analysis suggests that fiscal measures like nutrient-based taxes may not be as regressive as commonly believed. Dissemination of healthy-eating norms to the less educated will be a key challenge for nutrition policy.     

Corporate governance when founders are directors

We examine chief executive officer (CEO) compensation, CEO retention policies, and mergers and acquisition (M&A) decisions in firms in which founders serve as a director with a nonfounder CEO (founder-director firms). We find that founder-director firms offer a different mix of incentives to their CEOs than other firms. Pay-for-performance sensitivity for nonfounder CEOs in founder-director firms is higher and the level of pay is lower than that of other CEOs. CEO turnover sensitivity to firm performance is also significantly higher in founder-director firms compared with nonfounder firms. Overall, the evidence suggests that boards with founder-directors provide more high-powered incentives in the form of pay and retention policies than the average US board. Stock returns around M&A announcements and board attendance are also higher in founder-director firms compared with nonfounder firms.     

Asset specificity,firm heterogeneity and capital structure

This paper presents an empirical investigation of the importance of specialized assets and other unique characteristics of a firm in explaining the variance in capital structure across firms. The results show that firm-specific effects contribute most to the variance in leverage, suggesting a strong link between strategy and capital structure.