Correction to: Impact of anti-discrimination laws on credit scoring

Journal of Financial Services Marketing -     

THE EFFECTS OF MUTUAL FUNDS ON M&A COMPENSATION

Motivated by shareholders’ interest in combating executive wealth expropriation through the merger and acqusition (M&A) process, we study how mutual funds influence firm behavior around an acquisition through votes against management proposals. We find that mutual funds reduce the chief executive officer's ability to extract rents during the M&A process by voting against management‐sponsored compensation proposals after the acquisition, thus lowering both excess compensation and increasing pay‐for‐performance sensitivity. Furthermore, mutual fund voting magnifies the impact on negatively performing firms and firms with a larger amount of the mutual fund's holdings in the firm.     

From Supply Chains to Supply Ecosystems: Implications for Strategic Sourcing Research and Practice

Traditionally, sourcing decisions such as what to buy and from whom to buy it were viewed as clerical in nature. Today, however, many executives view sourcing decisions as strategic and these decisions are being made from more prominent positions within firms. Indeed, over time more companies are embracing the concept of strategic sourcing—making acquisition decisions with the intent of creating value and achieving a competitive advantage. In this article, we introduce the Special Topic Forum articles on strategic sourcing and performance. Each offers important implications for strategic sourcing research and practice. An overall implication is that some traditional supply chains appear to be giving way to supply ecosystems, which represent a set of interdependent and coordinated organizations that share common adaptive challenges and that collectively shape the creation and nurturing of a sourcing base that contributes to competitive advantage and superior performance. We offer several theoretical perspectives that hold promise for explaining supply ecosystem functioning and outcomes. In terms of practice, firms need to adapt their strategic sourcing to this evolution or run the risk of being weakened.     

Does scoring a subpopulation make a difference

Scorecards used by consumer credit providers to assess the probability that an applicant will default are usually built for the population of potential applicants as a whole. This paper investigates whether it is permissible and worth-while to build a separate scorecard for each subpopulation of applicants. We review the legal requirements to find that it is permissible to use separate scorecards for many, but not all, personal characteristics. Second, using data supplied by a credit card organization separate scorecards were built for several subpopulations for each of twelve personal characteristics. The predicted performance of each was compared with that gained form estimating a scorecard for the full population using three methods for setting the cut-off scores in an `independent' way. These methods differ in the degree to which the cut-off scores are independent of information about other subpopulation, in the level of discrimination achieved between likely good payers and defaulters and in the degree to which each method is robust to new data. We conclude, first, that creating scorecards using subpopulations does not necessarily give better discrimination between likely good payers and defaulters. Second, none of the three methods examined to set the cut-off scores dominates the others using the three desirable properties described; trade-offs are required. Finally, subpopulation scorecards lead to the rejection of fewer applicants than scorecards built on full populations.     

Short and long run movements in U.S. merger activity

This paper uses the NPV approach to merger decisions to select variables which are expected to explain changes in the aggregate number of mergers of US manufacturing and mining firms over time. We test for and estimate a cointegrating relationship between such variables. We find that in the long run the number of mergers and acquisitions is positively related both to the level of manufacturing production and to the level of the nominal bond yield. A short run dynamic model is also presented. Annual changes in merger and acquisition activity were found to be positively related to current changes in Tobin's Q and changes in Q lagged one, two and four years; positively related to changes in the current bond yield but negatively related to changes in the yield in the previous year; and finally that changes in merger activity were related to the degree to which the number of mergers differed from the long run or equilibrium value in the previous year.     

Assessing Cumulative Evidence within ‘Macro’ Research: Why Meta‐Analysis Should be Preferred Over Vote Counting

Understanding the conclusions a body of evidence offers involves accumulating findings. Two recent articles used vote counting to assess the evidence related to important macro theories: transaction cost theory and resource‐based theory. Each concluded that its focal theory is not well supported. In contrast, recent meta‐analyses of the same theories concluded that both are strongly supported. We explain why macro researchers should trust the findings of meta‐analyses but not those of vote counts. A direct implication is that researchers interested in advancing transaction cost and resource‐based theories need to build upon the meta‐analytic evidence. A broader implication is that, as the preferred method for accumulating evidence, meta‐analysis can be a catalyst for the re‐evaluation of established theories and the development of new theory.     

Firm-level determinants of export intensity

This paper investigates why some companies export a larger percentage of their total sales than others, although they operate in the same industry. A variety of interesting but fragmented findings on specific determinants of export intensity is integrated into a coherent model. This is tested empirically, using a sample of British mechanical engineering companies.     

Forecasting and stress testing credit card default using dynamic models

We present discrete time survival models of borrower default for credit cards that include behavioural data about credit card holders and macroeconomic conditions across the credit card lifetime. We find that dynamic models which include these behavioural and macroeconomic variables provide statistically significant improvements in model fit, which translate into better forecasts of default at both account and portfolio levels when applied to an out-of-sample data set. By simulating extreme economic conditions, we show how these models can be used to stress test credit card portfolios.     

Credit Cards: Haves,Have-Nots and Cannot-Haves

Credit card ownership has grown enormously over the past twenty years. This article analyses two major data sets - the government's Family Expenditure Survey and a credit card grantor's database of clients -to investigate who has credit cards and, for those who do not have them, whether they would be given cards if they applied for them. The results show which sections of the population are averse to owning credit cards, and some surprisingly low levels of ownership among, for example, those who have bank accounts.