Active asset allocation for retirement funds using the fed model

Authors

  • John Clinebell Department of Finance, Kenneth W. Monfort School of Business, University of Northern Colorado
  • Douglas Kahl Department of Finance, University of Akron
  • Jerry Stevens Department of Finance, Distinguished Teaching Fellow, E. C. Robins School of Business, University of Richmond

DOI:

https://doi.org/10.61190/fsr.v26i2.3306

Keywords:

Market Timing, Kalman Filter, Active Asset Allocation

Abstract

Active asset allocation, also known as market timing, is controversial but potentially effective for individual investors and financial advisors. Many studies support market timing based on the relationship between the aggregate earnings yield on equities and the intermediate Treasury bond yield, known as the Fed model. Nevertheless, skeptics point to common flaws in these studies and challenge the validity of the Fed model. In general, returns from timing models are difficult to adjust for transaction costs and tax effects from short term gains and losses. In almost all cases, there is data mining from reporting results over the same period used to build the timing model. Our study addresses these concerns directly. We control the transaction costs and tax effects by focusing on funds available for retirement accounts within a Vanguard fund family allowing costless monthly transfers. We use a “risk on” or “risk off” approach rather than experiment with arbitrary cutoff rules for switching funds. We first test for the time series properties of the Fed model to build a prediction model and then apply it over a recent five-year holdout of period. Our findings show that the switching portfolio offers attractive performance compared to either of the Vanguard funds, especially with respect to enhancing upside to downside risk ratios.

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Published

2017-06-30

How to Cite

Clinebell, J., Kahl, D., & Stevens, J. (2017). Active asset allocation for retirement funds using the fed model. Financial Services Review: The Journal of Individual Financial Management, 26(2), 167–180. https://doi.org/10.61190/fsr.v26i2.3306

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Section

New Original Submission