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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
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    References listed on IDEAS

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    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. 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.
    4. Petra Gerlach & Seán Lyons, 2015. "Mortgage arrears in Europe: The impact of monetary and macroprudential policies," Working Papers 2015-05, Swiss National Bank.
    5. 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.
    6. M. Dietsch & C. Welter-Nicol, 2014. "Do LTV and DSTI caps make banks more resilient?," Débats économiques et financiers 13, Banque de France.
    7. 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.
    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. 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.
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