IDEAS home Printed from https://ideas.repec.org/a/vrs/ecothe/v54y2016i3p449-468n7.html
   My bibliography  Save this article

Realistic Evaluation of the Ratio: Loan-To-value – The Key to Minimising the Credit Risk

Author

Listed:
  • Ranisavljević Duško

    (Marfin Bank JSC Belgrade, Serbia)

  • Hadžić Miroljub

    (Singidunum University Belgrade, Serbia)

Abstract

As a rule, long-term bank loans entail solid security - a mortgage, regardless of their purpose. The mortgaged property has its specific market value during the loan approval period but during the repayment period, the value of the real estate varies. This is the reason why the initially specified indicator of the coverage of loans with the value of the mortgage - the LTV ratio changes, which in turn increases the risk of loan repayment. The aim of this paper is to draw attention to the necessity of establishing adequate initial LTV ratios (together with other important ratios). This would help nullify the risk of any variations in real estate prices, the loan currency risk, the interest rate risk, as well as the risk of an increase in bank's claims because of a long foreclosure process. The paper analyses effects of changes in LTV ratios caused by varying circumstances using the case study method. The comparative method analyses the changing trends of data on the LTV ratios for the already approved loans over a seven-year period by comparing the flow of the loan capital sum with the real value of the mortgage for three types of loans. The conclusion reached is that commercial banks should establish the initial LTV ratio for various long-term loan products and thus prevent its rise. Banks should do this by taking into account all the factors that cause the ratio’s increase, and thus give preference to the reduction of the credit risk and not the attractiveness and accessibility of loan products.

Suggested Citation

  • Ranisavljević Duško & Hadžić Miroljub, 2016. "Realistic Evaluation of the Ratio: Loan-To-value – The Key to Minimising the Credit Risk," Economic Themes, Sciendo, vol. 54(3), pages 449-468, September.
  • Handle: RePEc:vrs:ecothe:v:54:y:2016:i:3:p:449-468:n:7
    DOI: 10.1515/ethemes-2016-0022
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/ethemes-2016-0022
    Download Restriction: no

    File URL: https://libkey.io/10.1515/ethemes-2016-0022?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. Alessandro Calza & Tommaso Monacelli & Livio Stracca, 2013. "Housing Finance And Monetary Policy," Journal of the European Economic Association, European Economic Association, vol. 11, pages 101-122, January.
    2. Yuliya Demyanyk & Otto Van Hemert, 2011. "Understanding the Subprime Mortgage Crisis," The Review of Financial Studies, Society for Financial Studies, vol. 24(6), pages 1848-1880.
    3. Tullio Jappelli & Marco Pagano, 1994. "Saving, Growth, and Liquidity Constraints," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 109(1), pages 83-109.
    4. M. Dietsch & C. Welter-Nicol, 2014. "Do LTV and DSTI caps make banks more resilient?," Débats économiques et financiers 13, Banque de France.
    5. Qi, Min & Yang, Xiaolong, 2009. "Loss given default of high loan-to-value residential mortgages," Journal of Banking & Finance, Elsevier, vol. 33(5), pages 788-799, May.
    6. Eric Wong & Kelvin Ho & Andrew Tsang, 2015. "Effectiveness of Loan-To-Value Ratio Policy and Its Transmission Mechanism ¨C Empirical Evidence from Hong Kong," Working Papers 202015, Hong Kong Institute for Monetary Research.
    7. Dr. Petra Gerlach & Seán Lyons, 2015. "Mortgage arrears in Europe: The impact of monetary and macroprudential policies," Working Papers 2015-05, Swiss National Bank.
    8. Daniel J. McDonald & Daniel L. Thornton, 2008. "A primer on the mortgage market and mortgage finance," Review, Federal Reserve Bank of St. Louis, vol. 90(Jan), pages 31-46.
    9. Wong, Eric & Ho, Kelvin & Tsang, Andrew, 2015. "Effectiveness of loan-to-value ratio policy and its transmission mechanism:empirical evidence from Hong Kong," Journal of Financial Perspectives, EY Global FS Institute, vol. 3(2), pages 93-102.
    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. Ying Fan & Abdullah Yavas, 2020. "How Does Mortgage Debt Affect Household Consumption? Micro Evidence from China," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 48(1), pages 43-88, March.
    2. Xudong An & Larry Cordell, 2021. "Mortgage loss severities: What keeps them so high?," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 49(3), pages 809-842, September.
    3. Andrew Linn & Ronan C. Lyons, 2020. "Three Triggers? Negative Equity, Income Shocks and Institutions as Determinants of Mortgage Default," The Journal of Real Estate Finance and Economics, Springer, vol. 61(4), pages 549-575, November.
    4. Hong Kong Monetary Authority, 2017. "Hong Kong’s property market and macroprudential measures," BIS Papers chapters, in: Bank for International Settlements (ed.), Macroprudential policy frameworks, implementation and relationships with other policies, volume 94, pages 141-152, Bank for International Settlements.
    5. Barasinska, Nataliya & Haenle, Philipp & Koban, Anne & Schmidt, Alexander, 2019. "Stress testing the German mortgage market," Discussion Papers 17/2019, Deutsche Bundesbank.
    6. Beltratti, Andrea & Benetton, Matteo & Gavazza, Alessandro, 2017. "The role of prepayment penalties in mortgage loans," Journal of Banking & Finance, Elsevier, vol. 82(C), pages 165-179.
    7. Wong, Siu Kei & Cheung, Ka Shing & Deng, Kuang Kuang & Chau, Kwong Wing, 2021. "Policy responses to an overheated housing market: Credit tightening versus transaction taxes," Journal of Asian Economics, Elsevier, vol. 75(C).
    8. 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.
    9. Eugenio Caverzasi & Daniele Tori, 2018. "The Financial Innovation Hypothesis: Schumpeter, Minsky and the sub-prime mortgage crisis," Working Papers PKWP1815, Post Keynesian Economics Society (PKES).
    10. Hung Xuan Do & Daniel Rösch & Harald Scheule, 2020. "Liquidity Constraints, Home Equity and Residential Mortgage Losses," The Journal of Real Estate Finance and Economics, Springer, vol. 61(2), pages 208-246, August.
    11. Wieladek, Tomasz, 2016. "The varying coefficient Bayesian panel VAR model," Bank of England working papers 578, Bank of England.
    12. Pedro Araujo & Olena Mykhaylova & James Staveley-O’Carroll, 2015. "Financial liberalization and patterns of international portfolio holdings," Empirical Economics, Springer, vol. 49(1), pages 213-234, August.
    13. Daniel Rösch & Harald Scheule, 2011. "Securitization rating performance and agency incentives," BIS Papers chapters, in: Bank for International Settlements (ed.), Portfolio and risk management for central banks and sovereign wealth funds, volume 58, pages 287-314, Bank for International Settlements.
    14. Michael Funke & Michael Paetz, 2018. "Dynamic Stochastic General EQUILIBRIUM ‐ BASED Assessment of Nonlinear Macroprudential Policies: Evidence from Hong Kong," Pacific Economic Review, Wiley Blackwell, vol. 23(4), pages 632-657, October.
    15. Martin Hauptfleisch, 2019. "Financial Decision-Making Using Data," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 6-2019.
    16. Gaudêncio, João & Mazany, Agnieszka & Schwarz, Claudia, 2019. "The impact of lending standards on default rates of residential real estate loans," Occasional Paper Series 220, European Central Bank.
    17. Xudong An & Lawrence R. Cordell, 2017. "Regime Shift And The Post-Crisis World Of Mortgage Loss Severities," Working Papers 17-8, Federal Reserve Bank of Philadelphia.
    18. Orhan SANLI & Osman PEKER, 2023. "Effect of Inflation, Exchange Rate, Interest Rates and Income on House Sales: a Case of Turkiye," Journal of Economic Policy Researches, Istanbul University, Faculty of Economics, vol. 10(1), pages 37-60, January.
    19. Alberto Cardaci & Francesco Saraceno, 2019. "Between Scylla And Charybdis: Income Distribution, Consumer Credit, And Business Cycles," Economic Inquiry, Western Economic Association International, vol. 57(2), pages 953-971, April.
    20. Aller, Carlos & Grant, Charles, 2018. "The effect of the financial crisis on default by Spanish households," Journal of Financial Stability, Elsevier, vol. 36(C), pages 39-52.

    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:ecothe:v:54:y:2016:i:3:p:449-468:n:7. 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.