Hostname: page-component-78c5997874-g7gxr Total loading time: 0 Render date: 2024-11-19T10:03:27.317Z Has data issue: false hasContentIssue false

An Econometric Approach to the FNMA Free Market System Auction

Published online by Cambridge University Press:  06 April 2009

Extract

In the last few years, several innovations have appeared in mortgage finance which are designed to improve the flow of funds into mortgage lending. Among this group, The Federal National Mortgage Association (FNMA) remains the intermediary which handles the largest share of most mortgage lenders' placements. As a private corporation chartered by Congress and owned by stockholders, FNMA provides a national secondary market facility for government-backed (FHA/VA) and conventional mortgages. Through its secondary market operations, FNMA furnishes a source of liquidity for mortgage lenders with the major portion of this support provided through the Free Market System (FMS) auctions. Through its issuance of forward purchase commitments, the FNMA assures lenders of a permanent investor (at a set yield) for specified periods of time, regardless of changing money market and housing conditions.

Type
Research Article
Copyright
Copyright © School of Business Administration, University of Washington 1981

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]Anscombe, F. J., and Tukey, J. W.. “The Examination and Analysis of Residuals. Technometrics (05 1963), pp. 141160.CrossRefGoogle Scholar
[2]Bailie, R. T.Autoregressive Errors.” Journal of the American Statistical Association (03 1979), pp. 175184.Google Scholar
[3]Johnston, J.Econometrics. New York: McGraw-Hill (1972).Google Scholar
[4]Draper, N. R., and Smith, H.. Applied Regression Analysis. New York: John Wiley and Sons, Inc. (1966).Google Scholar
[5]Neter, J., and Wasserman, W.. Applied Linear Statistical Models. Homewood, Ill.: Richard D. Irwin, Inc. (1974).Google Scholar
[6]Sears, R. S. A Mortgage Placement Model for Non-Depository Financial Intermediaries. Unpublished Ph.D. dissertation, University of North Carolina at Chapel Hill (1980).Google Scholar
[7]Snedecor, G. W.Statistical Methods. Iowa State College: Iowa State College Press (1957).Google Scholar
[8]Winkler, R. L., and Hays, W. L.. Statistics: Probability, Inference and Decision. New York: Holt, Rinehart and Winston (1975).Google Scholar