IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2603.03213.html

Dynamic Tracking Error and the Total Portfolio Approach

Author

Listed:
  • Ashwin Alankar
  • Allan Maymin
  • Philip Maymin
  • Myron Scholes
  • Sujiang Zhang

Abstract

The Total Portfolio Approach and Strategic Asset Allocation are widely viewed as competing frameworks for institutional portfolio management. We argue they differ in a single governance parameter: the tracking error constraint. Using U.S. equity and bond data from 2000 to 2026, with portfolio simulations spanning 2004 to 2026, we show that Sharpe ratios are statistically indistinguishable across the full constraint spectrum while the volatility of realized tracking error varies approximately 12-fold. The cost of constraints spikes during crises, when forward returns are richest and governance pressure to de-risk is strongest. Dynamic tracking error subsumes both approaches and provides boards with a more productive framework for investment governance.

Suggested Citation

  • Ashwin Alankar & Allan Maymin & Philip Maymin & Myron Scholes & Sujiang Zhang, 2026. "Dynamic Tracking Error and the Total Portfolio Approach," Papers 2603.03213, arXiv.org.
  • Handle: RePEc:arx:papers:2603.03213
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/2603.03213
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Alankar, Ashwin & Blausten, Peter & Scholes, Myron S., 2013. "The Cost of Constraints: Risk Management, Agency Theory and Asset Prices," Research Papers 2135, Stanford University, Graduate School of Business.
    2. Myron S. Scholes, 2000. "Crisis and Risk Management," American Economic Review, American Economic Association, vol. 90(2), pages 17-21, May.
    3. Ang, Andrew, 2014. "Asset Management: A Systematic Approach to Factor Investing," OUP Catalogue, Oxford University Press, number 9780199959327.
    4. Merton, Robert C., 1971. "Optimum consumption and portfolio rules in a continuous-time model," Journal of Economic Theory, Elsevier, vol. 3(4), pages 373-413, December.
    5. Jobson, J D & Korkie, Bob M, 1981. "Performance Hypothesis Testing with the Sharpe and Treynor Measures," Journal of Finance, American Finance Association, vol. 36(4), pages 889-908, September.
    6. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    7. Markus K. Brunnermeier & Lasse Heje Pedersen, 2009. "Market Liquidity and Funding Liquidity," The Review of Financial Studies, Society for Financial Studies, vol. 22(6), pages 2201-2238, June.
    8. Campbell, John Y. & Viceira, Luis M., 2002. "Strategic Asset Allocation: Portfolio Choice for Long-Term Investors," OUP Catalogue, Oxford University Press, number 9780198296942.
    9. Roger G. Ibbotson & Paul D. Kaplan, 2000. "Does Asset Allocation Policy Explain 40, 90, or 100 Percent of Performance?," Financial Analysts Journal, Taylor & Francis Journals, vol. 56(1), pages 26-33, January.
    10. Treynor, Jack L & Black, Fischer, 1973. "How to Use Security Analysis to Improve Portfolio Selection," The Journal of Business, University of Chicago Press, vol. 46(1), pages 66-86, January.
    11. Merton, Robert C, 1969. "Lifetime Portfolio Selection under Uncertainty: The Continuous-Time Case," The Review of Economics and Statistics, MIT Press, vol. 51(3), pages 247-257, August.
    12. Philippe Jorion, 2003. "Portfolio Optimization with Tracking-Error Constraints," Financial Analysts Journal, Taylor & Francis Journals, vol. 59(5), pages 70-82, September.
    13. Zhiguo He & Arvind Krishnamurthy, 2013. "Intermediary Asset Pricing," American Economic Review, American Economic Association, vol. 103(2), pages 732-770, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jansen, Kristy, 2021. "Essays on institutional investors, portfolio choice, and asset prices," Other publications TiSEM fd998408-d282-4e0f-b542-4, Tilburg University, School of Economics and Management.
    2. Tyler Muir & Erkko Etula & Tobias Adrian, 2011. "Broker-Dealer Leverage and the Cross-Section of Stock Returns," 2011 Meeting Papers 1448, Society for Economic Dynamics.
    3. John H. Cochrane, 2011. "Discount Rates," NBER Working Papers 16972, National Bureau of Economic Research, Inc.
    4. Hiroshi Ishijima & Masaki Uchida, 2011. "The Regime Switching Portfolios," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 18(2), pages 167-189, May.
    5. Boguth, Oliver & Simutin, Mikhail, 2018. "Leverage constraints and asset prices: Insights from mutual fund risk taking," Journal of Financial Economics, Elsevier, vol. 127(2), pages 325-341.
    6. John Y. Campbell & Luis M. Viceira & Joshua S. White, 2003. "Foreign Currency for Long-Term Investors," Economic Journal, Royal Economic Society, vol. 113(486), pages 1-25, March.
    7. Mark E. Wohar & David E. Rapach, 2005. "Return Predictability and the Implied Intertemporal Hedging Demands for Stocks and Bonds: International Evidence," Computing in Economics and Finance 2005 329, Society for Computational Economics.
    8. Hui Chen & Nengjiu Ju & Jianjun Miao, 2014. "Dynamic Asset Allocation with Ambiguous Return Predictability," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 17(4), pages 799-823, October.
    9. Wang, Yuanrong & Aste, Tomaso, 2023. "Dynamic portfolio optimization with inverse covariance clustering," LSE Research Online Documents on Economics 117701, London School of Economics and Political Science, LSE Library.
    10. Schwartz, Eduardo S & Tebaldi, Claudio, 2004. "Illiquid Assets and Optimal Portfolio Choice," University of California at Los Angeles, Anderson Graduate School of Management qt7q65t12x, Anderson Graduate School of Management, UCLA.
    11. Lin, Wen-chang & Lu, Jin-ray, 2012. "Risky asset allocation and consumption rule in the presence of background risk and insurance markets," Insurance: Mathematics and Economics, Elsevier, vol. 50(1), pages 150-158.
    12. Paolo BATTOCCHIO, 2002. "Optimal Portfolio Strategies with Stochastic Wage Income : The Case of A defined Contribution Pension Plan," LIDAM Discussion Papers IRES 2002005, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    13. Jieting Chen & Yuichiro Kawaguchi, 2018. "Multi-Factor Asset-Pricing Models under Markov Regime Switches: Evidence from the Chinese Stock Market," IJFS, MDPI, vol. 6(2), pages 1-19, May.
    14. Arvind Krishnamurthy, 2010. "Amplification Mechanisms in Liquidity Crises," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(3), pages 1-30, July.
    15. Tobias Adrian & Hyun Song Shin, 2014. "Procyclical Leverage and Value-at-Risk," The Review of Financial Studies, Society for Financial Studies, vol. 27(2), pages 373-403.
    16. Collin-Dufresne, Pierre & Daniel, Kent & Sağlam, Mehmet, 2020. "Liquidity regimes and optimal dynamic asset allocation," Journal of Financial Economics, Elsevier, vol. 136(2), pages 379-406.
    17. Blake, David & Wright, Douglas & Zhang, Yumeng, 2014. "Age-dependent investing: Optimal funding and investment strategies in defined contribution pension plans when members are rational life cycle financial planners," Journal of Economic Dynamics and Control, Elsevier, vol. 38(C), pages 105-124.
    18. Michael W. Brandt & Amit Goyal & Pedro Santa-Clara & Jonathan R. Stroud, 2005. "A Simulation Approach to Dynamic Portfolio Choice with an Application to Learning About Return Predictability," The Review of Financial Studies, Society for Financial Studies, vol. 18(3), pages 831-873.
    19. Penaranda, Francisco, 2007. "Portfolio choice beyond the traditional approach," LSE Research Online Documents on Economics 24481, London School of Economics and Political Science, LSE Library.
    20. Andreas Fagereng & Charles Gottlieb & Luigi Guiso, 2017. "Asset Market Participation and Portfolio Choice over the Life-Cycle," Journal of Finance, American Finance Association, vol. 72(2), pages 705-750, April.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arx:papers:2603.03213. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.