IDEAS home Printed from https://ideas.repec.org/p/arz/wpaper/eres2018_131.html
   My bibliography  Save this paper

Multifamily Rental Housing, Socio-Economic and Demographic Factors, and Foreign Capital Flows – A ZIP Code Level Analysis

Author

Listed:
  • Meagan McCollum
  • Stanimira Milcheva

Abstract

This study investigates how location of US multifamily rental housing (MFRH) properties can impact on their investment performance. MFRH units are owned by companies and rented to households, including low and moderate-income households. In particular, we look at property performance characteristics such as occupancy rate, net operating income (NOI) and loan delinquency and assess how those are affected by within city variation of socio-economic and demographic factors. Such factors include household income, house prices, foreign capital flows into real estate, demographic factors such as age, race, ethnicity. We use data on securitized commercial mortgage loans between 1999 and 2016 in order to assess the relationship between property performance indications and the local economy. While the MFRH market provides opportunities for property investors and it should be better understood from an investor point of view, MFRH rental stock also is an important component of the alternatives to homeownership for households and is worthy of studying from this perspective as well highlighting the contribution of this study.

Suggested Citation

  • Meagan McCollum & Stanimira Milcheva, 2018. "Multifamily Rental Housing, Socio-Economic and Demographic Factors, and Foreign Capital Flows – A ZIP Code Level Analysis," ERES eres2018_131, European Real Estate Society (ERES).
  • Handle: RePEc:arz:wpaper:eres2018_131
    as

    Download full text from publisher

    File URL: https://eres.architexturez.net/doc/oai-eres-id-eres2018-131
    Download Restriction: no

    File URL: https://eres.architexturez.net/system/files/P_20180129173304_463.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ambrose, Brent W & Sanders, Anthony B, 2003. "Commercial Mortgage-Backed Securities: Prepayment and Default," The Journal of Real Estate Finance and Economics, Springer, vol. 26(2-3), pages 179-196, March-May.
    2. Fernandes, Guilherme Barreto & Artes, Rinaldo, 2016. "Spatial dependence in credit risk and its improvement in credit scoring," European Journal of Operational Research, Elsevier, vol. 249(2), pages 517-524.
    3. Wayne R. Archer & Peter J. Elmer & David M. Harrison & David C. Ling, 2002. "Determinants of Multifamily Mortgage Default," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 30(3), pages 445-473.
    4. Sumit Agarwal & Brent W. Ambrose & Souphala Chomsisengphet & Anthony B. Sanders, 2012. "Thy Neighbor’s Mortgage: Does Living in a Subprime Neighborhood Affect One’s Probability of Default?," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 40(1), pages 1-22, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Xudong An & Yongheng Deng & Joseph Nichols & Anthony Sanders, 2013. "Local Traits and Securitized Commercial Mortgage Default," The Journal of Real Estate Finance and Economics, Springer, vol. 47(4), pages 787-813, November.
    2. Grovenstein, Robert A. & Harding, John P. & Sirmans, C.F. & Thebpanya, Sansanee & Turnbull, Geoffrey K., 2005. "Commercial mortgage underwriting: How well do lenders manage the risks?," Journal of Housing Economics, Elsevier, vol. 14(4), pages 355-383, December.
    3. Jun Chen & Yongheng Deng, 2013. "Commercial Mortgage Workout Strategy and Conditional Default Probability: Evidence from Special Serviced CMBS Loans," The Journal of Real Estate Finance and Economics, Springer, vol. 46(4), pages 609-632, May.
    4. An, Xudong & Deng, Yongheng & Gabriel, Stuart A., 2011. "Asymmetric information, adverse selection, and the pricing of CMBS," Journal of Financial Economics, Elsevier, vol. 100(2), pages 304-325, May.
    5. Brent Ambrose & Michael Shafer & Yildiray Yildirim, 2018. "The Impact of Tenant Diversification on Spreads and Default Rates for Mortgages on Retail Properties," The Journal of Real Estate Finance and Economics, Springer, vol. 56(1), pages 1-32, January.
    6. Andreas D. Christopoulos & Robert A. Jarrow & Yildiray Yildirim, 2008. "Commercial Mortgage‐Backed Securities (CMBS) and Market Efficiency with Respect to Costly Information," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 36(3), pages 441-498, September.
    7. Geetesh Bhardwaj & Rajdeep Sengupta, 2008. "Where's the smoking gun? a study of underwriting standards for US subprime mortgages," Working Papers 2008-036, Federal Reserve Bank of St. Louis.
    8. Kelly, Robert & O'Toole, Conor, 2016. "Lending Conditions and Loan Default: What Can We Learn From UK Buy-to-Let Loans?," Research Technical Papers 04/RT/16, Central Bank of Ireland.
    9. Do, Hung Xuan & Rösch, Daniel & Scheule, Harald, 2018. "Predicting loss severities for residential mortgage loans: A three-step selection approach," European Journal of Operational Research, Elsevier, vol. 270(1), pages 246-259.
    10. David Downs & Pisun (Tracy) Xu, 2015. "Commercial Real Estate, Distress and Financial Resolution: Portfolio Lending Versus Securitization," The Journal of Real Estate Finance and Economics, Springer, vol. 51(2), pages 254-287, August.
    11. Chica-Olmo, Jorge & Cano-Guervos, Rafael, 2020. "Does my house have a premium or discount in relation to my neighbors? A regression-kriging approach," Socio-Economic Planning Sciences, Elsevier, vol. 72(C).
    12. Tracey Seslen & William C. Wheaton, 2010. "Contemporaneous Loan Stress and Termination Risk in the CMBS Pool: How “Ruthless” is Default?," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 38(2), pages 225-255, June.
    13. Li, Yibei & Wang, Ximei & Djehiche, Boualem & Hu, Xiaoming, 2020. "Credit scoring by incorporating dynamic networked information," European Journal of Operational Research, Elsevier, vol. 286(3), pages 1103-1112.
    14. Chan, Sewin & Gedal, Michael & Been, Vicki & Haughwout, Andrew, 2013. "The role of neighborhood characteristics in mortgage default risk: Evidence from New York City," Journal of Housing Economics, Elsevier, vol. 22(2), pages 100-118.
    15. Mitroussi, K. & Abouarghoub, W. & Haider, J.J. & Pettit, S.J. & Tigka, N., 2016. "Performance drivers of shipping loans: An empirical investigation," International Journal of Production Economics, Elsevier, vol. 171(P3), pages 438-452.
    16. Rasa Kanapickiene & Renatas Spicas, 2019. "Credit Risk Assessment Model for Small and Micro-Enterprises: The Case of Lithuania," Risks, MDPI, Open Access Journal, vol. 7(2), pages 1-23, June.
    17. Lok Man Michel Tong & Gianluca Marcato, 2018. "Modelling Competitive Mortgage Termination Option Strategies: Default vs Restructuring and Prepayment vs Defeasance," ERES eres2018_300, European Real Estate Society (ERES).
    18. Jonathan B. Dressler & Jeffrey R. Stokes, 2010. "Survival analysis and mortgage termination at AgChoice ACA," Agricultural Finance Review, Emerald Group Publishing, vol. 70(1), pages 21-36, May.
    19. Xudong An & Yongheng Deng & Eric Rosenblatt & Vincent Yao, 2012. "Model Stability and the Subprime Mortgage Crisis," The Journal of Real Estate Finance and Economics, Springer, vol. 45(3), pages 545-568, October.
    20. Itzhak Ben‐David, 2019. "High Leverage and Willingness to Pay: Evidence from the Residential Housing Market," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 47(3), pages 643-684, September.

    More about this item

    Keywords

    commercial loans; Delinquency; multifamily housing; socio-economic and demographic factors and corss border flows; zip-code level analysis;
    All these keywords.

    JEL classification:

    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arz:wpaper:eres2018_131. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Architexturez Imprints). General contact details of provider: https://edirc.repec.org/data/eressea.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.