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A New Spin on the Jumbo/Conforming Loan Rate Differential

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Author Info

  • Ambrose, Brent W
  • Buttimer, Richard
  • Thibodeau, Thomas

Abstract

This article uses house-price transaction data to estimate volatility in house prices. The volatility parameter is an input into a mortgage-pricing model that is used to simulate the contract interest rate that balances the mortgage contract. By segmenting the house-price transaction into high- and low-valued homes, we are able to estimate a theoretical jumbo/conforming loan rate differential. Simulation results demonstrate that the differences in volatility between high- and low-priced homes can produce a contract loan rate differential, holding all else constant. The article also presents a discussion of the problems inherent to estimating volatilities form assets with infrequent trades and long holding periods. Copyright 2001 by Kluwer Academic Publishers

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Bibliographic Info

Article provided by Springer in its journal Journal of Real Estate Finance & Economics.

Volume (Year): 23 (2001)
Issue (Month): 3 (November)
Pages: 309-35

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Handle: RePEc:kap:jrefec:v:23:y:2001:i:3:p:309-35

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Web page: http://www.springerlink.com/link.asp?id=102945

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Cited by:
  1. Xudong An & Raphael W. Bostic, 2006. "GSE Activity, FHA Feedback, and Implications for the Efficacy of the Affordable Housing Goals," Working Paper 8573, USC Lusk Center for Real Estate.
  2. Shane M. Sherlund, 2008. "The jumbo-conforming spread: a semiparametric approach," Finance and Economics Discussion Series 2008-01, Board of Governors of the Federal Reserve System (U.S.).
  3. Wayne Passmore & Roger Sparks & Jamie Ingpen, 2001. "GSEs, mortgage rates, and the long-run effects of mortgage securitization," Finance and Economics Discussion Series 2001-26, Board of Governors of the Federal Reserve System (U.S.).
  4. John M. Quigley, 2006. "Federal credit and insurance programs: housing," Review, Federal Reserve Bank of St. Louis, issue Jul, pages 281-310.
  5. Xudong An & Raphael Bostic, 2008. "GSE Activity, FHA Feedback, and Implications for the Efficacy of the Affordable Housing Goals," The Journal of Real Estate Finance and Economics, Springer, vol. 36(2), pages 207-231, February.
  6. Wayne Passmore, 2003. "The GSE implicit subsidy and value of government ambiguity," Finance and Economics Discussion Series 2003-64, Board of Governors of the Federal Reserve System (U.S.).
  7. Ambrose, Brent W. & Buttimer, Richard Jr., 2005. "GSE impact on rural mortgage markets," Regional Science and Urban Economics, Elsevier, vol. 35(4), pages 417-443, July.
  8. Dwight Jaffee & John M. Quigley, 2011. "The Future of the Government Sponsored Enterprises: The Role for Government in the U.S. Mortgage Market," NBER Working Papers 17685, National Bureau of Economic Research, Inc.
  9. Wayne Passmore & Shane M. Sherlund & Gillian Burgess, 2005. "The Effect of Housing Government-Sponsored Enterprises on Mortgage Rates," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 33(3), pages 427-463, 09.
  10. Xudong An & Raphael W. Bostic, 2006. "Have the Affordable Housing Goals been a Shield against Subprime? Regulatory Incentives and the Extension of Mortgage Credit," Working Paper 8572, USC Lusk Center for Real Estate.
  11. Alex Kaufman, 2012. "The influence of Fannie and Freddie on mortgage loan terms," Finance and Economics Discussion Series 2012-33, Board of Governors of the Federal Reserve System (U.S.).

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