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Determinants of distress in the UK owner-occupier and buy-to-let mortgage markets

Author

Listed:
  • Lazarov, Vladimir

    (Bank of England)

  • Hinterschweiger, Marc

    (Bank of England)

Abstract

The mortgage market has played a central role in the global financial crisis. One particularly pressing question surrounds the conditions under which mortgage borrowers enter distress, ie get into arrears or default. This paper develops a novel micro dataset from residential mortgage loans which UK banks and building societies have pre-positioned with the Bank of England for use as collateral in exchange for central bank funding. The dataset is used to investigate the determinants of borrower distress as a function of borrower and loan-level stock/flow characteristics over the loans’ lifetime in the buy-to-let (BTL) and owner-occupier (OO) mortgage markets. We find systematic differences between these two markets, controlling for a range of loan and borrower characteristics as well as macro variables. Our main result shows that, adjusting for affordability, the loan-to-value ratio is reliably more important for borrower distress in the OO market than for distress in the BTL market, contradicting McCann’s (2014) results.

Suggested Citation

  • Lazarov, Vladimir & Hinterschweiger, Marc, 2018. "Determinants of distress in the UK owner-occupier and buy-to-let mortgage markets," Bank of England working papers 760, Bank of England.
    • Handle: RePEc:boe:boeewp:0760
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    3. Bracke, Philippe & Datta, Anupam & Jung, Carsten & Sen, Shayak, 2019. "Machine learning explainability in finance: an application to default risk analysis," Bank of England working papers 816, Bank of England.
    4. Jorge E. Galán & Matías Lamas, 2019. "Beyond the LTV ratio: new macroprudential lessons from Spain," Working Papers 1931, Banco de España.

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    More about this item

    Keywords

    Distress; default; arrears; mortgage lending; loan level; micro data; United Kingdom;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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