Skip to main content
Top
Published in: The Journal of Real Estate Finance and Economics 3/2022

23-02-2021

When Appraisers Go Low, Contracts Go Lower: The Impact of Expert Opinions on Transaction Prices

Authors: Hamilton Fout, Nuno Mota, Eric Rosenblatt

Published in: The Journal of Real Estate Finance and Economics | Issue 3/2022

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Using home purchase loan application data, we study buyer responses to the uncommon occurrence of the appraised value coming in below the contract price (i.e. a low appraisal), which sharply raises the probability of downward price renegotiation. We propose that two mechanisms drive the higher renegotiation rates. First, a liquidity channel, visible for financially constrained borrowers for whom a low appraisal impacts financing costs. Second, for financially unconstrained borrowers, we identify a news channel whereby the information content of the low appraisal alone induces borrower renegotiation. Importantly, we show that low appraisals result in lower renegotiated prices through these channels without a substantially lower likelihood of a loan application leading to loan origination or notably longer times from contract signing to sale.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Appendix
Available only for authorised users
Footnotes
1
Exceptions to requirement for appraisal are applications that receive a Property Inspection Waiver (PIW), available to about 5 % of Fannie Mae purchases after January 2017. Loans with PIWs do not appear in the analysis in this paper, as the focus here is on the relationship between the appraised value and the contract price.
 
2
See Pagourtzi et al. (2003) or Vandell (1991) for an overview of the appraisal valuation methods and the comparable sales approach.
 
3
Discussing the consequences of a low appraisal with realtors, we established that, in practice, there is virtually never legal resistance by sellers to a borrower withdrawing from the contract in the case of a low appraisal and obtaining a return of their earnest money deposit.
 
4
We also remove cases where the appraisal does not occur at least one day after the data is initially entered into DU. This is in many cases just a matter of delayed entry of the DU underwriting data, however a key statistic in this paper is the effect of a low appraisal on time to close the loan from initial application date. Additionally, we want to be confident that the appraiser was selected by the same lender (potentially through an AMC) who closes the loan and that, for instance, a lender is not using an appraisal provided by the borrower from another pre-existing loan application.
 
5
Appendix Figures 10a to 10f provide the same data by year. Effects are stable throughout this period.
 
6
Analysis of the randomly selected 100 contracts was done manually. As such, this is not a method that is replicable for the entire sample of loan applications used in the analysis in order to specifically assess whether the contract is actually cancelled or just renegotiated.
 
7
Recall that our sample only includes loan applications that were approved hence, once a lower FICO score borrower’s loan is in our sample, it is more likely to lead to a delivery.
 
8
Analysis of mortgage-backed securities (MBS) issuance data from 2013 to 2018 reveals that 7.6% of Fannie Mae purchase mortgages in MBS issuance during this period had LTVs above 95%. This is markedly larger than the share with LTVs above 95% for Freddie Mac issuance, at 3.9%.
 
9
Appendix Figure 11 shows analogous charts indicating the rate of upward renegotiation by LTV categories and we can observe that upward renegotiation rates are not related to LTV level in the same way that downward rates are.
 
10
Appendix Figure 12 shows analogous charts displaying the percent of the difference between appraised value and contract price that is yielded by the buyer for appraised values that are above contract for different LTV categories. No evident relationship exists between LTV category and a willingness to yield or agree to a higher transaction price.
 
11
Appendix Table 7 presents the regression results for the downward renegotiation probability for this subset of borrowers. The impact of relevant explanatory variables is similar to those for the main estimation sample.
 
12
The 60% LTV is chosen because these borrowers have no additional Fannie Mae Loan-Level Pricing Adjustments for purchase mortgages. There is no additional charge for purchase borrowers with a FICO score of 660 or higher at this LTV value. 740, and up is obviously a subset of 660 and up and is chosen to obtain borrowers who are even less likely to face financing constraints.
 
13
We tested various definitions of “unconstrained”, with little difference in estimated effects.
 
Literature
go back to reference Abernethy, A., & Hollans, H. (2010). The home valuation code of conduct and its potential impacts. The Appraisal Journal, 78(1), 81–93. Abernethy, A., & Hollans, H. (2010). The home valuation code of conduct and its potential impacts. The Appraisal Journal, 78(1), 81–93.
go back to reference Agarwal, S., Ben-David, I., & Yao, V. (2015). Collateral valuation and borrower financial constraints: Evidence from the residential real estate market. Management Science, 61(9), 2220–2240.CrossRef Agarwal, S., Ben-David, I., & Yao, V. (2015). Collateral valuation and borrower financial constraints: Evidence from the residential real estate market. Management Science, 61(9), 2220–2240.CrossRef
go back to reference Agarwal, S., Ambrose, B., & Yao, V. (2020). Can regulation de-bias appraisers?. Journal of Financial Intermediation, 44, 100827. Agarwal, S., Ambrose, B., & Yao, V. (2020). Can regulation de-bias appraisers?. Journal of Financial Intermediation, 44, 100827.
go back to reference Ben-David, I. (2011). Financial constraints and inflated home prices during the real estate boom. American Economic Journal: Applied Economics, 3, 55–67. Ben-David, I. (2011). Financial constraints and inflated home prices during the real estate boom. American Economic Journal: Applied Economics, 3, 55–67.
go back to reference Bogin, A., & Nguyen-Hoang, P. (2014). Property left behind: An unintended consequence of a no child left behind “failing” school designation. Journal of Regional Science, 54(5), 788–805.CrossRef Bogin, A., & Nguyen-Hoang, P. (2014). Property left behind: An unintended consequence of a no child left behind “failing” school designation. Journal of Regional Science, 54(5), 788–805.CrossRef
go back to reference Calem, Paul S. and Lambie-Hanson, Lauren and Nakamura, Leonard I., Appraising Home Purchase Appraisals (2017-07-31). FRB of Philadelphia Working Paper No. 17-23, Available at SSRN: https://ssrn.com/abstract=3029756. Calem, Paul S. and Lambie-Hanson, Lauren and Nakamura, Leonard I., Appraising Home Purchase Appraisals (2017-07-31). FRB of Philadelphia Working Paper No. 17-23, Available at SSRN: https://​ssrn.​com/​abstract=​3029756.​
go back to reference Chinloy, P., Cho, M., & Megbolugbe, I. (1997). Appraisals, Transaction Incentives, and Smoothing. Journal of Real Estate Finance and Economics, 14, 89–111.CrossRef Chinloy, P., Cho, M., & Megbolugbe, I. (1997). Appraisals, Transaction Incentives, and Smoothing. Journal of Real Estate Finance and Economics, 14, 89–111.CrossRef
go back to reference Ding, L., & Nakamura, L. (2016). The impact of the home valuation code of conduct on appraisal and mortgage outcomes. Real Estate Economics, 44(3), 658–690.CrossRef Ding, L., & Nakamura, L. (2016). The impact of the home valuation code of conduct on appraisal and mortgage outcomes. Real Estate Economics, 44(3), 658–690.CrossRef
go back to reference Duca, J., Muellbauer, J., & Murphy, A. (2010). Housing Markets and the Financial Crisis of 2007–2009: Lessons for the Future. Journal of Financial Stability, 6, 203–217.CrossRef Duca, J., Muellbauer, J., & Murphy, A. (2010). Housing Markets and the Financial Crisis of 2007–2009: Lessons for the Future. Journal of Financial Stability, 6, 203–217.CrossRef
go back to reference Eriksen, M., Fout, H., Palim, M., & Rosenblatt, E. (2019). The influence of contract prices and relationships on appraisal Bias. Journal of Urban Economics, 111, 132–143.CrossRef Eriksen, M., Fout, H., Palim, M., & Rosenblatt, E. (2019). The influence of contract prices and relationships on appraisal Bias. Journal of Urban Economics, 111, 132–143.CrossRef
go back to reference Eriksen, M., Fout, H., Palim, M., & Rosenblatt, E. (2020). Contract Price confirmation Bias: Evidence from repeat appraisals. Journal of Real Estate Finance and Economics, 60(1), 77–98.CrossRef Eriksen, M., Fout, H., Palim, M., & Rosenblatt, E. (2020). Contract Price confirmation Bias: Evidence from repeat appraisals. Journal of Real Estate Finance and Economics, 60(1), 77–98.CrossRef
go back to reference Figlio, D., & Lucas, M. (2004). What’s in a grade? School report cards and the housing market. American Economic Review, 94(3), 591–604.CrossRef Figlio, D., & Lucas, M. (2004). What’s in a grade? School report cards and the housing market. American Economic Review, 94(3), 591–604.CrossRef
go back to reference Genesove, D., & Mayer, C. (1997). Equity and time to Sale in the real estate market. American Economic Review, 87(3), 255–269. Genesove, D., & Mayer, C. (1997). Equity and time to Sale in the real estate market. American Economic Review, 87(3), 255–269.
go back to reference Genesove, D., & Mayer, C. (2001). Loss aversion and seller behavior: Evidence from the housing market. Quarterly Journal of Economics, 116, 1233–1260.CrossRef Genesove, D., & Mayer, C. (2001). Loss aversion and seller behavior: Evidence from the housing market. Quarterly Journal of Economics, 116, 1233–1260.CrossRef
go back to reference Goodman, J., & Ittner, J. (1992). The accuracy of homeowners' estimates of house value. Journal of Housing Economics, 2(4), 339–357.CrossRef Goodman, J., & Ittner, J. (1992). The accuracy of homeowners' estimates of house value. Journal of Housing Economics, 2(4), 339–357.CrossRef
go back to reference Han, L., & Strange, W. (2016). What is the role of the asking price for a house? Journal of Urban Economics, 93, 115–130.CrossRef Han, L., & Strange, W. (2016). What is the role of the asking price for a house? Journal of Urban Economics, 93, 115–130.CrossRef
go back to reference Hendershott, P., Hendershott, R., & Shilling, J. (2010). The mortgage finance bubble: Causes and corrections. Journal of Housing Research, 19(1), 1–16.CrossRef Hendershott, P., Hendershott, R., & Shilling, J. (2010). The mortgage finance bubble: Causes and corrections. Journal of Housing Research, 19(1), 1–16.CrossRef
go back to reference Kelly, A. (2006). Appraisals, automated valuation models, and mortgage default. Federal Housing Finance Agency: Working Paper.CrossRef Kelly, A. (2006). Appraisals, automated valuation models, and mortgage default. Federal Housing Finance Agency: Working Paper.CrossRef
go back to reference Kiel, K., & Zabel, J. (1999). The accuracy of owner-provided house values: The 1978–1991 American housing survey. Real Estate Economics, 27(2), 263–298.CrossRef Kiel, K., & Zabel, J. (1999). The accuracy of owner-provided house values: The 1978–1991 American housing survey. Real Estate Economics, 27(2), 263–298.CrossRef
go back to reference LaCour-Little, M., & Green, R. (1998). Are minorities or minority neighborhoods more likely to get low appraisals? Journal of Real Estate Finance and Economics, 16(3), 301–315.CrossRef LaCour-Little, M., & Green, R. (1998). Are minorities or minority neighborhoods more likely to get low appraisals? Journal of Real Estate Finance and Economics, 16(3), 301–315.CrossRef
go back to reference Levitt, S., & Syverson, C. (2008). Market distortions when agents are better informed: The value of information in real estate transactions. Review of Economics and Statistics, 90(4), 599–611.CrossRef Levitt, S., & Syverson, C. (2008). Market distortions when agents are better informed: The value of information in real estate transactions. Review of Economics and Statistics, 90(4), 599–611.CrossRef
go back to reference Merlo, A., & Ortalo-Magné, F. (2004). Bargaining over residential real estate: Evidence from England. Journal of Urban Economics, 56(2), 192–216.CrossRef Merlo, A., & Ortalo-Magné, F. (2004). Bargaining over residential real estate: Evidence from England. Journal of Urban Economics, 56(2), 192–216.CrossRef
go back to reference Mian, A., & Sufi, A. (2010). Household leverage and the recession of 2007 to 2009. IMF Economic Review, 58(1), 74–117.CrossRef Mian, A., & Sufi, A. (2010). Household leverage and the recession of 2007 to 2009. IMF Economic Review, 58(1), 74–117.CrossRef
go back to reference Nakamura, L. (2010). How much is that home really worth? Appraisal Bias and Home Price Uncertainty. Business Review, Federal Reserve Bank of Philadelphia, Q1, 11–22. Nakamura, L. (2010). How much is that home really worth? Appraisal Bias and Home Price Uncertainty. Business Review, Federal Reserve Bank of Philadelphia, Q1, 11–22.
go back to reference Pagourtzi, E., Assimakopoulos, V., Hatzichristos, T., & French, N. (2003). Real estate appraisal: A review of valuation methods. Journal of Property Investment & Finance, 21(4), 383–401.CrossRef Pagourtzi, E., Assimakopoulos, V., Hatzichristos, T., & French, N. (2003). Real estate appraisal: A review of valuation methods. Journal of Property Investment & Finance, 21(4), 383–401.CrossRef
go back to reference Rutherford, R., Springer, T., & Yavas, A. (2005). Conflicts between principals and agents: Evidence from residential brokerage. Journal of Financial Economics, 76(3), 627–665.CrossRef Rutherford, R., Springer, T., & Yavas, A. (2005). Conflicts between principals and agents: Evidence from residential brokerage. Journal of Financial Economics, 76(3), 627–665.CrossRef
go back to reference Shi, L., & Zhang, Y. (2015). Appraisal inflation: Evidence from the 2009 GSE HVCC intervention. Journal of Housing Economics, 27, 71–90.CrossRef Shi, L., & Zhang, Y. (2015). Appraisal inflation: Evidence from the 2009 GSE HVCC intervention. Journal of Housing Economics, 27, 71–90.CrossRef
go back to reference Shui, J., & Murthy, S. (2019). Under what circumstances do first-time homebuyers overpay? — An empirical analysis using mortgage and appraisal data. Journal of Real Estate Research, 41(1), 107–145.CrossRef Shui, J., & Murthy, S. (2019). Under what circumstances do first-time homebuyers overpay? — An empirical analysis using mortgage and appraisal data. Journal of Real Estate Research, 41(1), 107–145.CrossRef
go back to reference Stigler, G. (1961). The economics of information. Journal of Political Economy, 69(3), 213–225.CrossRef Stigler, G. (1961). The economics of information. Journal of Political Economy, 69(3), 213–225.CrossRef
go back to reference Taylor, C. (1999). Time-on-the-market as a sign of quality. Review of Economic Studies, 66(3), 555–578.CrossRef Taylor, C. (1999). Time-on-the-market as a sign of quality. Review of Economic Studies, 66(3), 555–578.CrossRef
go back to reference Vandell, K. D. (1991). Optimal comparable selection and weighting in real property valuation. AREUEA Journal, 19(2), 213–239.CrossRef Vandell, K. D. (1991). Optimal comparable selection and weighting in real property valuation. AREUEA Journal, 19(2), 213–239.CrossRef
go back to reference Zhu, S., & Kelley Pace, R. (2012). Distressed properties: Valuation Bias and accuracy. Journal of Real Estate Finance and Economics, 44, 153–166.CrossRef Zhu, S., & Kelley Pace, R. (2012). Distressed properties: Valuation Bias and accuracy. Journal of Real Estate Finance and Economics, 44, 153–166.CrossRef
Metadata
Title
When Appraisers Go Low, Contracts Go Lower: The Impact of Expert Opinions on Transaction Prices
Authors
Hamilton Fout
Nuno Mota
Eric Rosenblatt
Publication date
23-02-2021
Publisher
Springer US
Published in
The Journal of Real Estate Finance and Economics / Issue 3/2022
Print ISSN: 0895-5638
Electronic ISSN: 1573-045X
DOI
https://doi.org/10.1007/s11146-020-09800-6

Other articles of this Issue 3/2022

The Journal of Real Estate Finance and Economics 3/2022 Go to the issue