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Pricing Defaulted Italian Mortgages

Author

Listed:
  • Michela Pelizza

    (Department of Economics, University of Manchester, Manchester M13 9PL, UK)

  • Klaus R. Schenk-Hoppé

    (Department of Economics, University of Manchester, Manchester M13 9PL, UK)

Abstract

Our paper forecasts the expected recovery rates of defaulted Italian mortgage loans backed by either residential or commercial real estate. We apply an exponential Ornstein–Uhlenbeck process to model the price dynamics at the provincial and regional level, and two haircut models to estimate the liquidation value. Compared to our findings, rating agencies such as Moody’s, which use geometric Brownian motion to model the price dynamics, paint a rosier picture with higher recovery rates. As a consequence, non-performing mortgage loans held by Italian banks might be overvalued.

Suggested Citation

  • Michela Pelizza & Klaus R. Schenk-Hoppé, 2020. "Pricing Defaulted Italian Mortgages," JRFM, MDPI, vol. 13(2), pages 1-14, February.
    • Handle: RePEc:gam:jjrfmx:v:13:y:2020:i:2:p:31-:d:318795
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    References listed on IDEAS

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    1. Qi, Min & Zhao, Xinlei, 2011. "Comparison of modeling methods for Loss Given Default," Journal of Banking & Finance, Elsevier, vol. 35(11), pages 2842-2855, November.
    2. Matteo Accornero & Piergiorgio Alessandri & Luisa Carpinelli & Alberto Maria Sorrentino, 2017. "Non-performing loans and the supply of bank credit: evidence from Italy," Questioni di Economia e Finanza (Occasional Papers) 374, Bank of Italy, Economic Research and International Relations Area.
    3. Frank J. Fabozzi & Robert J. Shiller & Radu S. Tunaru, 2010. "Property Derivatives for Managing European Real†Estate Risk," European Financial Management, European Financial Management Association, vol. 16(1), pages 8-26, January.
    4. Frank J. Fabozzi & Robert J. Shiller & Radu S. Tunaru, 2012. "A Pricing Framework for Real Estate Derivatives," European Financial Management, European Financial Management Association, vol. 18(5), pages 762-789, November.
    5. Magri, Silvia & Pico, Raffaella, 2011. "The rise of risk-based pricing of mortgage interest rates in Italy," Journal of Banking & Finance, Elsevier, vol. 35(5), pages 1277-1290, May.
    6. Josep Perello & Ronnie Sircar & Jaume Masoliver, 2008. "Option pricing under stochastic volatility: the exponential Ornstein-Uhlenbeck model," Papers 0804.2589, arXiv.org, revised May 2008.
    7. Christopher Mayer & Karen Pence & Shane M. Sherlund, 2009. "The Rise in Mortgage Defaults," Journal of Economic Perspectives, American Economic Association, vol. 23(1), pages 27-50, Winter.
    8. Hui Ye & Anthony Bellotti, 2020. "Erratum: Hui Ye, Anthony Bellotti. Modelling Recovery Rates for Non-Performing Loans. Risks 7 (2019): 19," Risks, MDPI, vol. 8(2), pages 1-1, April.
    9. Hui Ye & Anthony Bellotti, 2019. "Modelling Recovery Rates for Non-Performing Loans," Risks, MDPI, vol. 7(1), pages 1-17, February.
    10. Camilla Ferretti & Giampaolo Gabbi & Piero Ganugi & Federica Sist & Pietro Vozzella, 2019. "Credit Risk Migration and Economic Cycles," Risks, MDPI, vol. 7(4), pages 1-18, October.
    11. Frontczak, Robert & Rostek, Stefan, 2015. "Modeling loss given default with stochastic collateral," Economic Modelling, Elsevier, vol. 44(C), pages 162-170.
    12. Merton, Robert C, 1974. "On the Pricing of Corporate Debt: The Risk Structure of Interest Rates," Journal of Finance, American Finance Association, vol. 29(2), pages 449-470, May.
    13. Roberto Blanco & Ricardo Gimeno, 2012. "Determinants of default ratios in the segment of loans to households in Spain," Working Papers 1210, Banco de España.
    14. Silvia Giacomelli & Tommaso Orlando & Giacomo Rodano, 2018. "Real estate foreclosures: their functioning and the effects of recent reforms," Questioni di Economia e Finanza (Occasional Papers) 448, Bank of Italy, Economic Research and International Relations Area.
    15. Gao, Andre & Lin, Zhenguo & Na, Carrie Fangzhou, 2009. "Housing market dynamics: Evidence of mean reversion and downward rigidity," Journal of Housing Economics, Elsevier, vol. 18(3), pages 256-266, September.
    16. Leow, Mindy & Mues, Christophe, 2012. "Predicting loss given default (LGD) for residential mortgage loans: A two-stage model and empirical evidence for UK bank data," International Journal of Forecasting, Elsevier, vol. 28(1), pages 183-195.
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    3. Amit K. Sinha, 2021. "The reliability of geometric Brownian motion forecasts of S&P500 index values," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(8), pages 1444-1462, December.

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