IDEAS home Printed from https://ideas.repec.org/a/vrs/bjrecm/v7y2019i1p190-215n12.html
   My bibliography  Save this article

Two Approaches to Examine the Impact of Different Credit Default Indicators on Real Estate Loans

Author

Listed:
  • Pfalz Reimar

    (University of Latvia, Riga, Latvia)

Abstract

Financing of real estates was a trigger of the largest financial crisis after the “Great Depression” from the early thirties in the last century. One of the main causes of this 2007 crisis was poor risk management in real estate financing. The aim of this paper is to examine the impact of different classes of indicators on credit default rates of real estate loans. Two research approaches should confirm a model that proves how strong the relationship is between different predictor variables such as interest rates, macroeconomic and individual indicators on the response variable of credit defaults. The first approach focuses on conducting descriptive and inferential experimental research by collecting secondary data in different markets and by analysing these data for correlations and linear regressions. The second approach is an expert survey of different banks to compare and complement the results of the first research approach. The research provides the evidence that individual indicators and macroeconomic indicators have a higher impact on credit defaults than interest rates. The scientific research on this theme has led to nearly the same results in different markets: the unemployment rate and thus personal conditions are the most responsible predictors for the credit defaults, also in different markets. The novelty of the present research is the proof that a banking survey with primary data on the causes of credit defaults confirms and complements the results of the secondary data analysis.

Suggested Citation

  • Pfalz Reimar, 2019. "Two Approaches to Examine the Impact of Different Credit Default Indicators on Real Estate Loans," Baltic Journal of Real Estate Economics and Construction Management, Sciendo, vol. 7(1), pages 190-215, January.
  • Handle: RePEc:vrs:bjrecm:v:7:y:2019:i:1:p:190-215:n:12
    DOI: 10.2478/bjreecm-2019-0012
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/bjreecm-2019-0012
    Download Restriction: no

    File URL: https://libkey.io/10.2478/bjreecm-2019-0012?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Memmel, Christoph & Gündüz, Yalin & Raupach, Peter, 2015. "The common drivers of default risk," Journal of Financial Stability, Elsevier, vol. 16(C), pages 232-247.
    2. Diaz-Serrano, Luis, 2004. "Income Volatility and Residential Mortgage Delinquency: Evidence from 12 EU Countries," IZA Discussion Papers 1396, Institute of Labor Economics (IZA).
    3. Nico B. Rottke & Julia Gentgen, 2008. "Workout management of non‐performing loans," Journal of Property Investment & Finance, Emerald Group Publishing Limited, vol. 26(1), pages 59-79, February.
    4. James G.S. Yang, 2012. "The Principle of Nexus in E-Commerce Tax," International Journal of E-Business Research (IJEBR), IGI Global, vol. 8(2), pages 33-48, April.
    5. G. M.P. Swann, 2009. "The Economics of Innovation," Books, Edward Elgar Publishing, number 13211.
    6. Markus K. Brunnermeier, 2009. "Deciphering the Liquidity and Credit Crunch 2007-2008," Journal of Economic Perspectives, American Economic Association, vol. 23(1), pages 77-100, Winter.
    7. Bucks, Brian & Pence, Karen, 2008. "Do borrowers know their mortgage terms?," Journal of Urban Economics, Elsevier, vol. 64(2), pages 218-233, September.
    8. Das, Sanjiv R., 2012. "The Principal Principle," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 47(6), pages 1215-1246, December.
    9. Diaz-Serrano, Luis, 2005. "Income volatility and residential mortgage delinquency across the EU," Journal of Housing Economics, Elsevier, vol. 14(3), pages 153-177, September.
    10. Danis, Michelle A. & Pennington-Cross, Anthony, 2008. "The delinquency of subprime mortgages," Journal of Economics and Business, Elsevier, vol. 60(1-2), pages 67-90.
    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. M. Dietsch & C. Welter-Nicol, 2014. "Do LTV and DSTI caps make banks more resilient?," Débats économiques et financiers 13, Banque de France.
    2. Georgarakos, Dimitris & Lojschova, Adriana & Ward-Warmedinger, Melanie E., 2009. "Mortgage Indebtedness and Household Financial Distress," IZA Discussion Papers 4631, Institute of Labor Economics (IZA).
    3. Bernardo Guimaraes & Luis Araujo, 2012. "The effect of options on coordination," 2012 Meeting Papers 474, Society for Economic Dynamics.
    4. Mocetti, Sauro & Viviano, Eliana, 2017. "Looking behind mortgage delinquencies," Journal of Banking & Finance, Elsevier, vol. 75(C), pages 53-63.
    5. Avram, Silvia, 2020. "Labour market flexibility and unemployment duration: evidence from the UK," ISER Working Paper Series 2020-11, Institute for Social and Economic Research.
    6. Scott Drewianka, 2010. "Cross‐Sectional Variation In Individuals' Earnings Instability," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 56(2), pages 291-326, June.
    7. Silvia Avram & Mike Brewer & Paul Fisher & Laura Fumagalli, 2022. "Household Earnings and Income Volatility in the UK, 2009–2017," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 20(2), pages 345-369, June.
    8. Jonathan Zinman, 2014. "Consumer Credit: Too Much or Too Little (or Just Right)?," The Journal of Legal Studies, University of Chicago Press, vol. 43(S2), pages 209-237.
    9. Díaz Serrano, Lluís & Raya, Josep Maria, 2011. "Is there Descriminatory Mortgage Pricing against Immigrants in the Spanish Lending Market?," Working Papers 2072/151811, Universitat Rovira i Virgili, Department of Economics.
    10. Jian Chen & Jin Xiang & Tyler T. Yang, 2018. "Re-Default Risk of Modified Mortgages," International Real Estate Review, Global Social Science Institute, vol. 21(1), pages 1-40.
    11. Tomasz Korol, 2024. "Multi-factor fuzzy sets decision system forecasting consumer insolvency risk," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 51(3), pages 279-302, September.
    12. Borgoni, Riccardo & Michelangeli, Alessandra & Pirola, Federica, 2018. "Residential Satisfaction for a Continuum of Households: Evidence from European Countries," GLO Discussion Paper Series 190, Global Labor Organization (GLO).
    13. Douglas da Rosa München & Herbert Kimura, 2020. "Regulatory Banking Leverage: what do you know?," Working Papers Series 540, Central Bank of Brazil, Research Department.
    14. Spiros Bougheas, 2014. "Pooling, tranching, and credit expansion," Oxford Economic Papers, Oxford University Press, vol. 66(2), pages 557-579.
    15. Tomasz Korol, 2021. "Examining Statistical Methods in Forecasting Financial Energy of Households in Poland and Taiwan," Energies, MDPI, vol. 14(7), pages 1-14, March.
    16. Tomasz Korol, 2021. "Evaluation of the Macro- and Micro-Economic Factors Affecting the Financial Energy of Households," Energies, MDPI, vol. 14(12), pages 1-14, June.
    17. Begley, Jaclene & Chan, Sewin, 2018. "The effect of housing wealth shocks on work and retirement decisions," Regional Science and Urban Economics, Elsevier, vol. 73(C), pages 180-195.
    18. Ashton, John K. & Hudson, Robert S., 2017. "The price, quality and distribution of mortgage payment protection insurance: A hedonic pricing approach," The British Accounting Review, Elsevier, vol. 49(2), pages 242-255.
    19. Browne, Frank & Conefrey, Thomas & Kennedy, Gerard, 2013. "Understanding Irish house price movements - a user cost of capital approach," Research Technical Papers 04/RT/13, Central Bank of Ireland.
    20. Tomasz Korol & Anestis K. Fotiadis, 2022. "Implementing artificial intelligence in forecasting the risk of personal bankruptcies in Poland and Taiwan," Oeconomia Copernicana, Institute of Economic Research, vol. 13(2), pages 407-438, June.

    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:vrs:bjrecm:v:7:y:2019:i:1:p:190-215:n:12. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.