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Liquidity Regimes and Optimal Dynamic Asset Allocation

Author

Listed:
  • Pierre Collin-Dufresne
  • Kent D. Daniel
  • Mehmet Saǧlam

Abstract

We solve a portfolio choice problem when expected returns, volatilities and trading-costs follow a regime-switching model. The optimal policy trades towards an aim portfolio given by a weighted-average of the conditional mean-variance portfolios in all future states. The trading speed is higher in more persistent, riskier and higher-liquidity states. It can be optimal to overweight low Sharpe-ratio assets such as Treasury bonds because they remain liquid even in crisis states. We illustrate our methodology by constructing an optimal US equity market timing portfolio based on an estimated regime-switching model and on trading costs estimated using a large-order institutional trading dataset.

Suggested Citation

  • Pierre Collin-Dufresne & Kent D. Daniel & Mehmet Saǧlam, 2018. "Liquidity Regimes and Optimal Dynamic Asset Allocation," NBER Working Papers 24222, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:24222
    Note: AP
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    Cited by:

    1. Acharya, Viral V. & Pedersen, Lasse Heje, 2019. "Economics with Market Liquidity Risk," Critical Finance Review, now publishers, vol. 8(1-2), pages 111-125, December.

    More about this item

    JEL classification:

    • D53 - Microeconomics - - General Equilibrium and Disequilibrium - - - Financial Markets
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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