Spurious Regressions in Financial Economics?

Even though stock returns are not highly autocorrelated, there is a spurious regression bias in predictive regressions for stock returns related to the classic studies of Yule (1926) and Granger and Newbold (1974) . Data mining for predictor variables interacts with spurious regression bias. The two effects reinforce each other, because more highly persistent series are more likely to be found significant in the search for predictor variables. Our simulations suggest that many of the regressions in the literature, based on individual predictor variables, may be spurious.     

A review of: “EXPLOITING CYCLE TIME IN TECHNOLOGY MANAGEMENT”BY GERALD H. GAYNOR McGraw-Hill,Inc., New York, 1993, xvi + 349 pp. ISBN 0-07-023474-4. List $46.50.

Teaching engineering economy at the undergraduate level has changed little over the past century. In fact, it has become stagnant as its focus has turned toward financial mathematics and away from decision analysis. This is seen as a disservice to students who must eventually develop engineering economy studies. This paper provides motivation and suggestions to revitalize the curriculum, including teaching engineering economy in a decision-making context and integrating research advances into the curriculum. From these suggestions, a tested semester outline is presented. In the spirit of this special issue, it is hoped that these suggestions help move the teaching of engineering economy to the “next level” such that we can produce effective decision makers in the critical area of capital investment analysis.     

Banks’ deferred tax assets during the financial crisis

Review of Quantitative Finance and Accounting - Prior studies have demonstrated that the net deferred tax liabilities of industrial firms are valued by market participants in a manner consistent...     

Test development and use: New twists on old questions

Over the past several decades, there have been some significant advances in psychological science, specifically in our knowledge about important questions to address with respect to the development and use of assessment tools. This article focuses on developments in research and guidelines for practice in five selected areas that, if applied, will lead to more informed use of assessment tools. The five areas that we discuss are validity generalization, statistical significance testing, criterion measures, cutoff scores, and cross‐validation. © 2005 Wiley Periodicals, Inc.     

Pricing and Mispricing Effects of SFAS 131

Abstract:  We investigate the effects of the introduction of Statement of Financial Accounting Standards No. 131 (SFAS 131) on the market's valuation of foreign earnings. Thomas (1999) documents that investors discount the value of foreign earnings for US multinational companies. He conjectures but does not test the possibility that this finding is due to poor disclosure related to foreign operations. We find strong evidence that the introduction of the standard is positively associated with the pricing of foreign earnings. In addition, we use both the Mishkin (1983) test and a zero-investment hedge portfolio test and find that investors' mispricing of foreign earnings lessens (and in fact disappears) after SFAS 131. This study is one of the first attempts to show that improved disclosure reduces mispricing.     

THE EFFECT OF A SINKING FUND ON THE REOFFERING YIELDS OF NEW PUBLIC UTILITY BONDS

In this study, empirical tests are conducted to determine the impact of a sinking fund on reoffering yields of a sample of new public utility bonds sold between January 1977 and March 1982. The findings of the regression analysis are consistent with the hypotheses that the value of the sinking fund varies with the default risk of the issuer and with market expectations of future interest rate movements, and that the sinking fund improves the liquidity of a bond issue.