In a recent article, Yair E. Orgler observes that while analytical models have long been developed to screen new loan applications, much less attention has been devoted to the loan review function [1] . While it is of primary importance for a loan officer to ascertain credit quality prior to granting a loan, nonetheless, many apparently qualified borrowers become poor loan risks for reasons that develop subsequent to the granting of the loan. In such cases it is important to identify weak loans as early as possible so that appropriate corrective action can be taken to avoid or minimize losses. In this regard, it is Orgler's stated objective, "to develop a general credit-scoring model for evaluating existing commercial loans," [1, p. 437] . As is customary in statistical studies of credit quality, Orgler defines the dependent variable in qualitative terms and then tests several sets of independent variables to find the set which best discriminates between the groups defined by the dependent variable. While Orgler's statistical methodology appears sound, the definition and justification of his dependent variable is less satisfactory. The dependent variable measures loan quality as being either good or bad based on the judgment of bank examiners. Orgler defends his choice of dependent variable by stating that, "this definition was selected because of data availability and because of the fact that many loans which are eventually paid off are either not profitable or incur a partial loss," [1, p. 438]. He further claims that, "loan classification by examiners is . . . a better indicator of poor quality than actual default," [1, p. 438]. To support this claim Orgler relies on work by Wu, who argues that, "ex post measures of quality such as defaults, losses, and changes in contract terms are the actual credit performance and can only be determined after the event. Ex ante measures, in contrast, are expectations, conditions, or characteristics that would indicate the later actual credit performance," [2, p. 697] . Thus, Wu feels that ex ante measures such as loan examiner ratings of loan quality are superior because they are made prior to loss or default and so give bank management the opportunity to take corrective action. Wu's statement that loan defaults, losses, and changes in contract terms are ex post measures of credit quality is correct. However, the implication that such ex post information is useless to the objective of Orgler's study is incorrect. Loan defaults, losses, and changes in contract terms can become ex ante measures if information which existed at the time the loan was originally granted can be used