Hostname: page-component-848d4c4894-r5zm4 Total loading time: 0 Render date: 2024-07-05T15:21:44.518Z Has data issue: false hasContentIssue false

On the Use of Two-Stage Least Squares in Financial Models: A Comment

Published online by Cambridge University Press:  19 October 2009

Extract

There appears to be growing interest in the development and estimation of simultaneous equation models for finance. Simkowitz and Jones [11] stimulated much of this concern in their observations on the need for these structures. Moreover, Simkowitz's application to the modeling of security returns with Logue [12] provides some support for these suggestions. Recently Lloyd [6] has argued that there may be significant problems in using two-stage least squares (hereafter 2SLS) with such models as a result of the potential for contemporaneous correlation in the structural errors across equations. The purpose of this note is to question several of Lloyd's conclusions and to provide some evidence that his findings may not be representative for the broad array of simultaneous models applicable to financial problems.

Type
Communications
Copyright
Copyright © School of Business Administration, University of Washington 1976

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

[1]Atkinson, Scott E. “Robust Small Sample Properties of Simultaneous Equation Estimators with Multicollinearity.” Federal Energy Administration, unpublished paper, January 30, 1975.Google Scholar
[2]Basmann, Robert L.A Note on the Exact Finite Sample Frequency Functions of Generalized Classical Linear Estimators in Two Leading Over-Identified Cases.” Journal of the American Statistical Association (September 1961), pp.Google Scholar
[3]Cragg, John G.On the Relative Small-Sample Properties of Several Structural Equation Estimators.” Econometrica (January 1967), pp. 89110.Google Scholar
[4]Dhrymes, Phoebus J.Ecnometrics: Statistical Foundations and Applications. New York: Harper & Row, 1970.Google Scholar
[5]Johnston, J.Econometric Methods, 2nd ed.New York: McGraw-Hill, 1972.Google Scholar
[6]Lloyd, William P.A Note on the Use of the Two-Stage Least Squares Estimator in Financial Models.” Journal of Financial and Quantitative Analysis (March 1975), pp. 143149.Google Scholar
[7]Mercis, Richard G., and Smith, V. Kerry. “Efficient Estimation of Multivariate Financial Relationships.” Journal of Finance (December 1974), pp. 14151423.Google Scholar
[8]Mosbaek, Ernest J., and Wold, Herman O.. Interdependent Systems: Structure and Estimation. Amsterdam: North Holland, 1970.Google Scholar
[9]Richardson, David H.The Exact Distribution of a Structural Coefficient Estimator.” Journal of the American Statistical Association (December 1968), pp.Google Scholar
[10]Sawa, T.The Exact Sampling Distribution of Ordinary Least Squares and Two-Stage Least Squares Estimators.” Journal of the American Statistical Association (September 1969), pp. 923937.CrossRefGoogle Scholar
[11]Simkowitz, Michael P., and Jones, Charles P.. “A Note on the Simultaneous Nature of Finance Methodology.” Journal of Finance (March 1972), pp. 103108.Google Scholar
[12]Simkowitz, Michael A., and Logue, Dennis E.. “The Interdependent Structure of Security Returns.” Journal of Financial and Quantitative Analysis (March 1973), pp. 259272.CrossRefGoogle Scholar
[13]Smith, V. Kerry. “The Small Sample Properties of Selected Econometric Estimators in the Context of Alternative Macro-Models.” International Statistical Review (December 1972), pp. 263268.Google Scholar
[14]Smith, V. Kerry. Monte Carlo Methods: Their Role for Econometrics. Lexington, Mass.: Lexington Books, D. C. Heath & Co., 1973.Google Scholar