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Portfolio allocation and borrowing constraints

Author

Listed:
  • Raslan Alzuabi
  • Sarah Brown
  • Daniel Gray
  • Mark N. Harris
  • Christopher Spencer
Abstract
Using the US Survey of Consumer Finances, we explore the empirical relationship between borrowing constraints and financial portfolio allocation by American households. To help motivate our empirical analysis we initially draw insights from a mean-variance model of optimal portfolio allocation with three tradable asset classes defined by increasing risk, and establish a link between borrowing restrictions and portfolio allocation in the presence of background risk. Our main contribution, however, lies in estimating the role that borrowing constraints play in shaping households' financial portfolio allocation. This is achieved using an ordered fractional probit model. In addition to revealing the significant empirical role played by household borrowing constraints in determining portfolio allocation, our analysis helps us to resolve ambiguity surrounding the behaviour of the medium-risk asset in our motivational theoretical framework. Further, the empirical distribution of medium-risk assets is found to be remarkably similar to that for high-risk assets, suggesting the presence of a more general ‘risk puzzle’, which our borrowing constraints measures partially explain.

Suggested Citation

  • Raslan Alzuabi & Sarah Brown & Daniel Gray & Mark N. Harris & Christopher Spencer, 2024. "Portfolio allocation and borrowing constraints," The European Journal of Finance, Taylor & Francis Journals, vol. 30(9), pages 915-948, June.
    • Handle: RePEc:taf:eurjfi:v:30:y:2024:i:9:p:915-948
    DOI: 10.1080/1351847X.2023.2241528
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    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • D11 - Microeconomics - - Household Behavior - - - Consumer Economics: Theory
    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions

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