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Inflation Risk, Payment Tilt, and the Design of Partially Indexed Affordable Mortgages

  • William H. Scott
  • Arthur L. Houston
  • A. Quang Do
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    This paper integrates two fundamentally important parameters into a theory of optimal mortgage design: the proportion of inflation risk borne by the lender / investor and the borrower and the amortization-graduation schedule for loan repayments. Equations are derived for a family of innovative mortgages, termed hybrid PLAMs, which offer advantages to borrowers and lenders over either the standard fixed rate mortgage (FRM) or the price level adjusted mortgage (PLAM). The superiority of the hybrid PLAMs lies in their ability to simultaneously and independently accommodate differing degrees of inflation-risk sharing and payment affordability. Inflation-risk sharing is represented by an indexation parameter set over a continuum of values such that the FRM has zero index variability and the PLAM has unit index variability. Similarly, payment tilt is represented by a tilt parameter such that the FRM has zero tilt and the PLAM has unit tilt. We demonstrate that these two parameters are independent and can each be continuously varied in a two-dimensional family of self-amortizing mortgages. A specific hybrid PLAM can be designed to partition inflation risk in any proportion between the borrower and the lender and to simultaneously prescribe any level of payment tilt between the extremes of the FRM and PLAM. The behavior of representative hybrid PLAMs is simulated and compared to FRMs and PLAMs for three different inflation scenarios, one of which uses actual market data from the period of 1960-1990. Copyright American Real Estate and Urban Economics Association.

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    File URL: http://www.blackwell-synergy.com/doi/abs/10.1111/1540-6229.00601
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    Article provided by American Real Estate and Urban Economics Association in its journal Real Estate Economics.

    Volume (Year): 21 (1993)
    Issue (Month): 1 ()
    Pages: 1-25

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    Handle: RePEc:bla:reesec:v:21:y:1993:i:1:p:1-25
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