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Assumable Financing Redux: A New Challenge for Appraisal?

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Abstract

Given the long term secular decline in interest rates, assumable financing has been of little concern for decades. But given both the growth of loans insured by the Federal Housing Administration (“FHA”) and recent increase in interest rates, this situation is likely to change very soon. Using data from California, we first document the dramatic increase in FHA-insured loans since 2007. We then derive the theoretical impact of capitalizing assumable financing into house prices as interest rates increase and simulate the effect on prices of homes sold with assumable FHA financing. Results are economically significant and likely to partially offset declines in house prices associated with higher mortgage rates. Findings imply that appraisers will need to adjust comparable sales to reflect FHA loan assumptions.

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Notes

  1. Wellenkamp v. Bank of America (1978) 21 C3d 943, Supreme Court of California. August 25, 1978. Cynthia Wellenkamp sought to allow the buyer of her home to assume an 8.00% mortgage in a 9.25% market.

  2. The collapse of the subprime market in 2007–2008 and the tightening of underwriting standards more broadly thereafter have been widely documented.

  3. In an earlier version of this paper we documented the year over year growth of all 58 counties in California. Here, in the interest of brevity, we simply present maps showing how FHA lending has spread through the state in the Appendix. More detailed county by county results are available upon request.

  4. Source: CoreLogic and the American Community Survey data. Given that 30% of the owner-occupied houses in California do not have any mortgage, the FHA-insured share of total housing stock is lower than 15%.

  5. Virtually all commentators expect interest rates to increase; for example, the median federal funds rate is projected to increase to 3.4% by 2020 (https://www.federalreserve.gov/monetarypolicy/files/fomcminutes20180321.pdf).

  6. In previous versions of this paper, we presented both pre-tax and after-tax effects, given mortgage interest deductibility. However, given the tax law changes taking effect on Jan 1, 2018, we believe it is too early, and there are too many uncertainties about borrower behavior and house prices, to seriously delve into the tax topic. Accordingly, we defer those topics to future research.

  7. Source: Ginnie Mae: https://www.ginniemae.gov/newsroom/Pages/PressReleaseDispPage.aspx?ParamID=133

  8. For most of its history, subprime lending was for cash-out refinancing but during the peak years of the housing bubble it came to be used for home purchase lending as well.

  9. Numerous studies investigated the role of subprime mortgages in home prices and how they caused housing bubble conditions where the demand for subprime lending fueled lenders’ willingness to extend loans to more risky buyers, which in turn helped to further fuel the housing bubble and eventually led to the 2007–2009 housing crash due to borrowers’ defaults for various economic and behavioral reasons (e.g, Pavlov and Wachter 2011; Collins et al. 2015, and Seiler 2015a, 2015b).

  10. This limit applies to single-family units. Two, three, and four-unit properties have higher limits.

  11. Readers may be entertained by the noting the very low prices existing at that time.

  12. Sirmans et al. (1983), page 308.

  13. A simple proof of this point appears in the Appendix 1.

  14. Appendix 2 illustrates the price premium after considering tax effects.

  15. Over asking price sales are more common today due to the limited supply of starter homes and strong demand, especially from the Millennial generation who are forming households at a rapid pace.

  16. See Gao et al. (2009). Table 1 shows the result using the FHFA index and Table 4 shows the result using the Case-Shiller index.

  17. FHA loans made up only 0.70% of all loan originations in California during 2007.

  18. $450,000 is somewhat below the median sales price in California of $486,000 as of May 2015 (Source; California Association of Realtors, www.car.org). The FHA loan limit today are the same as the GSE conforming loan limit, which is $453,100 ($679,650 in certain high cost markets) in 2018.

  19. Junior lien loans, manufactured housing and multifamily properties are excluded.

  20. The six major Northern California counties are: Almeda County, Contra Costa County, Marin County, Santa Clara County, San Francisco County and San Mateo County.

  21. The five major Southern California counties are: Los Angeles County, Orange County, Riverside County, San Bernardino County and San Diego County.

  22. Park (2018) points out that assumption fees chargeable by the mortgagee must be reasonable and customary and are capped at $900, a relatively low amount particularly if the lender must manually underwrite the loan since there are no automated underwriting processes to do so.

References

  • Agarwal, V. B., & Philips, R. A. (1985). The effects of assumption financing across housing Price categories. AREUEA Journal, 13(1), 48–57.

    Article  Google Scholar 

  • Albrecht, J., Anderson, A., Smith, E., & Vroman, S. (2007). Opportunistic matching in the housing market. International Economic Review, 48, 641–664.

    Article  Google Scholar 

  • Allen, M. T., & Springer, T. M. (1998). Reexamining the Price effects of assumption financing: The case of above-market interest rates. Journal of Real Estate Finance and Economics, 17(3), 263–278.

    Article  Google Scholar 

  • Arnold, M. (1999). Search, Bargaining and Optimal Asking Prices. Real Estate Economics., 27(3), 453–481.

    Article  Google Scholar 

  • Aroul, R. R., & Hansz, A. (2014). The Valuation Impact on Distressed Residential Transactions: Anatomy of a Housing Price Bubble. Journal of Real Estate Finance and Economics, 49, 227–302.

    Article  Google Scholar 

  • Asabere, P. K., Huffman, F. E., & Mehdian, S. (1992). The Price Effects of Cash versus Mortgage Transactions. AREUEA Journal, 20(1), 141–150.

    Article  Google Scholar 

  • Asabere, P. K., & Huffman, F. E. (1997). Discount Point Concessions and the Value of Homes with Conventional versus Nonconventional Mortgage Financing. Journal of Real Estate Finance and Economics, 15(3), 261–270.

    Article  Google Scholar 

  • Bian, X., Lin, Z., & Liu, Y. (2018a). Bargaining, Mortgage Financing and Housing Prices. Journal of Real Estate Research, 40(3), 419–451.

    Google Scholar 

  • Bian, X., Lin, Z., & Liu, Y. (2018b). House Price, Loan-to-Value Ratio and Credit Risk. Journal of Banking and Finance, 92, 1–12.

    Article  Google Scholar 

  • Collins, A., Harrison, D., & Seiler, M. (2015). Mortgage Modification and the Decision to Strategically Default: A Game Theoretic Approach. Journal of Real Estate Research, 37, 439–470.

    Google Scholar 

  • Daneshvary, N., & Clauretie, T. (2013). Agent Change and Seller Bargaining Power: A Case of Principal Agent Problem in the Housing Market. Journal of Real Estate Finance and Economics, 47, 416–433.

    Article  Google Scholar 

  • Gao, A., Lin, Z., & Na, C. F. (2009). Housing Market Dynamics: Evidence of Mean Reversion and Downward Rigidity. Journal of Housing Economics, 18, 256–266.

    Article  Google Scholar 

  • Hansz, J. A., & Hayunga, D. K. (2016). Revisiting Cash Financing in Residential Transaction Prices. Real Estate Finance, Summer, 2016, 33–46.

    Google Scholar 

  • Hendershott, P., LaFayette, W., & Haurin, D. H. (1997). Debt Usage and Mortgage Choice: The FHA-Conventional Decision. Journal of Urban Economics, 41, 202–217.

    Article  Google Scholar 

  • Jauregui, A., Tidwell, A., & Hite, D. (2017). Sample Selection Approaches to Estimating House Price Cash Differentials. Journal of Real Estate Finance and Economics, 54, 117–137.

    Article  Google Scholar 

  • Kelly, A., 2007. Zero Down Payment Mortgage Default. OFHEO Working Paper 07–5.

  • Lusht, K. M., & Hansz, J. A. (1994). Some Further Evidence on the Price of Mortgage Contingency Clauses. The Journal of Real Estate Research, 9(2), 213–217.

    Google Scholar 

  • Nash, J. (1950). The Bargaining Game. Econometrica., 18(2), 155–162.

    Article  Google Scholar 

  • Securities, N. (2013). Agency MBS: Understanding the Assumability Option. Securitized Products Weekly, June, 28(2013), 10–11.

    Google Scholar 

  • Park, Kevin A. (2018). What Happens When You Assume: Assumptions and Claims in FHA Insurance. Conference paper.

  • Park, Kevin (2016), FHA Loan Performance and Adverse Selection in Mortgage Insurance (August 15, 2016). Journal of Housing Economics, Forthcoming. Available at https://ssrn.com/abstract=2823540. Accessed 11 Dec 2018.

  • Park, K. A. (2017). Temporary Loan Limits as a Natural Experiment in Federal Housing Administration Insurance. Housing Policy Debate, 27(3), 449–466.

    Article  Google Scholar 

  • Pavlov, A. D., & Wachter, S. M. (2011). Subprime Lending and Real Estate Prices. Real Estate Economics, 38, 1–17.

    Article  Google Scholar 

  • Pennington-Cross, A., & Nichols, J. (2000). Credit History and the FHA-Conventional Loan Choice. Real Estate Economics, 28(2), 307–336.

    Article  Google Scholar 

  • Rubinstein, A. (1982). Perfect Equilibrium in a Bargaining Model. Econometrica., 50, 97–109.

    Article  Google Scholar 

  • Rosenthal, S.S., J.V. Duca, and S. A Gabriel. 1991. Credit Rationing and the Demand for Owner-Occupied Housing. Journal of Urban Economics 30:1, 48–63.

  • Seiler, M. (2015a). Do As I say, Not as I do: The Role of Advice versus Actions in the Decision to Strategically Default. Journal of Real Estate Research, 37, 191–215.

    Google Scholar 

  • Seiler, M. (2015b). The Role of Informational Uncertainty in the Decision to Strategically Default. Journal of Housing Economics, 27, 49–59.

    Article  Google Scholar 

  • Shaked, A., & Sutton, J. (1984). Involuntary Unemployment as a Perfect Equilibrium in a Bargaining Model. Econometrica., 52(6), 1351–1364.

    Article  Google Scholar 

  • Sirmans, G. S., Smith, S. D., & Sirmans, C. F. (1983). Assumption Financing and Selling Price of Single-Family Homes. The Journal of Financial and Quantitative Analysis, 18(3), 307–317.

    Article  Google Scholar 

  • Sunderman, M.A., R.E. Cannaday, and P. F, Colwell. 1990. Value of Mortgage Assumption: An Empirical Test. Journal of Real Estate Research, 5 (2): 247–257.

  • Tidwell, A., Jauregui, A., Sah, V., Narwold, A.. (2016). Cash and Distressed House Sales Price Discounts: Dual Sample Selection Spatial Interdependence Approaches. Forthcoming Journal of Real Estate Finance and Economics.

  • Timiraos, N. 2018. Fed Raises Rates and Signals Faster Pace in Coming Years. The Wall Street Journal, 2018, March 21.

  • US Dept. of Housing and Urban Development, (2000). Final Report of a Nationwide Audit: Down Payment Assistance Programs, 2000-SE121–0001 (Washington, DC March 2000).

  • US Dept. of Housing and Urban Development, (2002). Follow up of: Down Payment Assistance Programs Operated by Private Nonprofit Entities, 2002-SE-001 (Washington, September 2002).

  • US GAO, (1996). Mortgage Financing: FHA Has Achieved It's Home Mortgage Reserve Target, GAO-RCED-96-50 (Washington, D.C. Feb. 28, 1996).

  • Von Furstenberg, G. M. (1969). Default Risk on FHA-Insured Home Mortgages as a Function of the Terms of Financing: A Quantitative Analysis. Journal of Finance, 24(3), 455–465.

    Article  Google Scholar 

  • Zerbst, R. H., & Brueggeman, W. B. (1977). FHA and VA Mortgage Discount Points and Housing Prices. Journal of Finance, 32(5), 1766–1773.

    Article  Google Scholar 

  • Zerbst, R. H., & Brueggeman, W. B. (1979). Adjusting Comparable Sales for FHA and VA Financing. Appraisal Journal, 47, 374–380.

    Google Scholar 

Download references

Acknowledgements

Earlier versions of this paper under a slightly different title were presented at the American Real Estate and Urban Economics 2015 International Meeting in Washington, D.C. and at the 2015 American Real Estate Society Meeting in Florida. We thank the California Association of Realtors for support of the original project that lead to the paper and the following individuals who provided comments and/or advice along the way: Michael Fratantoni, Ted Tozer, Chuck Capone, Jim Shilling, Tony Yezer, Anthony Pennington-Cross, Forrest Huffman, Peter Zorn, Bob Avery, and Kevin Park. Any errors or omissions are ours alone.

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Appendices

Appendix 1

Proof

Suppose that an assumable loan has only one year term and annual payment, the payment of borrowing $1 assumable loan can thus be calculated as,

$$ PMT=\left(1+{i}_A\right) $$
(23)

If current interest rate becomes iC, the present value of this assumable loan’s payment (PMT) becomes.

$$ PV=\frac{\left(1+{i}_A\right)}{1+{i}_C} $$
(24)

Therefore, the extent of the capitalization of one dollar of the assumable mortgage into the sales price on a before-tax basis can be expressed as:

$$ DP{V}_{BT}=1- PV=\frac{\left(1+{i}_C\right)-\left(1+{i}_A\right)}{\left(1+{i}_C\right)} $$
(25)

Equation (25) is exactly the same as Eq. (1). We can further show that Eq. (1) holds only when the assumable loan has only one year term with one annual payment.

Appendix 2

The tax rate of the home buyer will affect the home price premium because interest payments in U.S. are generally tax-deductible, particularly for higher income households. Generally speaking, a higher mortgage rate implies higher interest payments and thus greater tax-savings from the interest deduction. In other words, the home price premium should be higher as the marginal tax rate decreases. Two additional equations illustrate the relationships.

Suppose that pmt is denoted as the monthly payment for the remaining loan balance (Balt) at the higher market rate rt. From Eq. (5), we thus have,

$$ \sum \limits_{n=1}^{N-t}\frac{pmt}{{\left(1+{r}_t\right)}^n}= Ba{l}_t=\sum \limits_{n=1}^{N-t}\frac{PMT}{{\left(1+{r}_0\right)}^n} $$
(26)

Since rt > r0, we have pmt > PMT. We can thus express the price premium for the FHA assumable mortgage on an after-tax basis as follows,

$$ \Pr emiu{m}_{\mathrm{t}}^{\mathrm{t}\mathrm{ax}}=\sum \limits_{n=1}^{N-t}\left(\frac{pmt-{\mathrm{interest}}_n\ast tax}{{\left(1+{r}_t\right)}^n}\right)-\sum \limits_{n=1}^{N-t}\left(\frac{PMT-{\mathrm{INTEREST}}_n\ast tax}{{\left(1+{r}_t\right)}^n}\right) $$
(27)

where tax is buyer’s marginal tax rate, interestn and INTERESTn are the portion of interest payments at time n for pmt and PMT, respectively.

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LaCour-Little, M., Lin, Z. & Yu, W. Assumable Financing Redux: A New Challenge for Appraisal?. J Real Estate Finan Econ 60, 3–39 (2020). https://doi.org/10.1007/s11146-019-09710-2

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