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The Journal of Retirement

The Journal of Retirement

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Article

Alpha, Beta, and Now… Gamma

David Blanchett and Paul Kaplan
The Journal of Retirement Fall 2013, 1 (2) 29-45; DOI: https://doi.org/10.3905/jor.2013.1.2.029
David Blanchett
is the head of retirement research at Morningstar Investment Management in Chicago, IL. david.blanchett@morningstar.com
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Paul Kaplan
is a director of research at Morningstar Canada in Toronto, Canada. paul.kaplan@morningstar.com
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Abstract

Investors arguably spend the most time and effort selecting “good” investment funds/managers—the so-called alpha decision—as well as on the asset-allocation, or beta, decision. However, alpha and beta are just two elements of myriad important financial planning decisions, many of which can have a far more significant impact on retirement income.

The authors present a concept that they call “gamma,” designed to quantify how more intelligent financial planning decisions can add value, measured through a certainty-equivalent, utility-adjusted retirement income metric, and focused on five fundamental financial planning decisions/techniques: a total wealth framework to determine the optimal asset allocation, a dynamic withdrawal strategy, incorporating guaranteed income products (i.e., annuities), tax-efficient decisions, and liability-relative asset allocation optimization.

Using a Monte Carlo simulation, the authors estimate that 22.6% more in certainty-equivalent income can be generated using a gamma-efficient retirement income strategy as compared to a base scenario. Unlike traditional alpha, which can be hard to predict and is a zero-sum game, the authors find that gamma (and gamma equivalent alpha) can be achieved by anyone following an efficient financial planning strategy.

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The Journal of Retirement: 1 (2)
The Journal of Retirement
Vol. 1, Issue 2
Fall 2013
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Alpha, Beta, and Now… Gamma
David Blanchett, Paul Kaplan
The Journal of Retirement Oct 2013, 1 (2) 29-45; DOI: 10.3905/jor.2013.1.2.029

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Alpha, Beta, and Now… Gamma
David Blanchett, Paul Kaplan
The Journal of Retirement Oct 2013, 1 (2) 29-45; DOI: 10.3905/jor.2013.1.2.029
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  • Article
    • Abstract
    • BEYOND BETA AND ALPHA
    • GAMMA FACTORS
    • MEASURING GAMMA
    • GAMMA TESTS
    • SIMULATION AND BOOTSTRAPPING
    • TEST 1: TAX-EFFICIENCY
    • TEST 2: TOTAL WEALTH ASSET ALLOCATION, ANNUITY ALLOCATION, DYNAMIC WITHDRAWAL STRATEGY, AND LIABILITY-RELATIVE OPTIMIZATION
    • RESULTS
    • PUTTING IT ALL TOGETHER
    • IMPLEMENTATION
    • CONCLUSION
    • APPENDIX A
    • APPENDIX B
    • APPENDIX C
    • APPENDIX D
    • ENDNOTES
    • REFERENCES
  • Info & Metrics
  • PDF

Cited By...

  • The Value of a Gamma-Efficient Portfolio
  • To Roll or Not to Roll: A Framework for Assessing the Benefit of IRA Rollovers
  • Defaulting Participants in Defined Contribution Plans into Annuities: Are the Potential Benefits Worth the Costs?
  • Total Wealth Allocation: Liquidity, Longevity, and Legacy
  • Dynamic Choice and Optimal Annuitization
  • Allocating to a Deferred Income Annuity in a Defined Contribution Plan
  • Can Collars Reduce Retirement Sequencing Risk? * Analysis of Portfolio Longevity Extension Overlays (LEO)
  • Google Scholar

More in this TOC Section

  • Beyond the Glide Path: The Drivers of Target-Date Fund Returns
  • Replacing the Failure Rate: A Downside Risk Perspective
  • Maximum Withdrawal Rates: An Empirical and Global Perspective
Show more Article

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