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The Impact of LTV policy on Bank Lending: Evidence from Disaggregate Housing Loan Data

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  • Chantawit Tantasith
  • Nasha Ananchotikul
  • Chatlada Chotanakarn
  • Vorada Limjaroenrat
  • Runchana Pongsaparn

Abstract

How did the Loan-to-Value (LTV) measures aimed at increasing resilience of the banking system affect banks' lending? This paper utilizes bank-level and contract-level data of housing credit in Thailand spanning from 2004 to 2017, and applies the panel data and probit approaches in evaluating the impact of LTV measures introduced in 2009, 2011 and 2013 on the housing loans. We find that the LTV measures had an impact on banks' risk-taking behavior in ways consistent with the policy's objectives. The effects manifest in a reshaping of LTV distribution of the targeted loan sector rather than a credit growth slowdown at the bank level. In addition, the size of adjustment varies across different types of banks, with stronger response from large and small banks compared with medium banks. Overall, our results suggest that certain macroprudential policies can achieve target-specific outcome, but with differential impact across banks. Nevertheless, questions remain regarding the channels through which LTV measures impact bank lending and factors underlying diverging response among banks.

Suggested Citation

  • Chantawit Tantasith & Nasha Ananchotikul & Chatlada Chotanakarn & Vorada Limjaroenrat & Runchana Pongsaparn, 2018. "The Impact of LTV policy on Bank Lending: Evidence from Disaggregate Housing Loan Data," PIER Discussion Papers 90, Puey Ungphakorn Institute for Economic Research.
  • Handle: RePEc:pui:dpaper:90
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    References listed on IDEAS

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    1. Akinci, Ozge & Olmstead-Rumsey, Jane, 2018. "How effective are macroprudential policies? An empirical investigation," Journal of Financial Intermediation, Elsevier, vol. 33(C), pages 33-57.
    2. Douglas Kiarelly Godoy de Araujo & João Barata Ribeiro Blanco Barroso & Rodrigo Barbone Gonzalez, 2016. "Loan-To-Value Policy and Housing Loans: effects on constrained borrowers," Working Papers Series 445, Central Bank of Brazil, Research Department.
    3. Kuttner, Kenneth N. & Shim, Ilhyock, 2016. "Can non-interest rate policies stabilize housing markets? Evidence from a panel of 57 economies," Journal of Financial Stability, Elsevier, vol. 26(C), pages 31-44.
    4. Cerutti, Eugenio & Claessens, Stijn & Laeven, Luc, 2017. "The use and effectiveness of macroprudential policies: New evidence," Journal of Financial Stability, Elsevier, vol. 28(C), pages 203-224.
    5. Esteban Gómez & Angélica Lizarazo & Juan Carlos Mendoza & Andrés Murcia, 2017. "Evaluating the Impact of Macroprudential Policies in Colombia's Credit Growth," Borradores de Economia 980, Banco de la Republica de Colombia.
    6. Gómez, Esteban & Murcia, Andrés & Lizarazo, Angélica & Mendoza, Juan Carlos, 2020. "Evaluating the impact of macroprudential policies on credit growth in Colombia," Journal of Financial Intermediation, Elsevier, vol. 42(C).
    7. Reserve Bank of India, 2017. "Macroprudential frameworks, implementation, and relationship with other policies," BIS Papers chapters, in: Bank for International Settlements (ed.), Macroprudential policy frameworks, implementation and relationships with other policies, volume 94, pages 179-187, Bank for International Settlements.
    8. Basten, Christhoph & Koch, Cathérine, 2015. "Higher Bank Capital Requirements and Mortgage Pricing: Evidence from the Countercyclical Capital Buffer (CCB)," HIT-REFINED Working Paper Series 26, Institute of Economic Research, Hitotsubashi University.
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    Cited by:

    1. Chantawit Tantasith & Nasha Ananchotikul & Chatlada Chotanakarn & Vorada Limjaroenrat & Runchana Pongsaparn, 2020. "The impact of LTV policy on bank lending: evidence from Thailand," BIS Papers chapters, in: Bank for International Settlements (ed.), Measuring the effectiveness of macroprudential policies using supervisory bank-level data, volume 110, pages 81-92, Bank for International Settlements.
    2. Luangaram, Pongsak & Thepmongkol, Athakrit, 2022. "Loan-to-value policy in a bubble-creation economy," Journal of Asian Economics, Elsevier, vol. 79(C).
    3. Ms. Juliana Dutra Araujo & Manasa Patnam & Ms. Adina Popescu & Mr. Fabian Valencia & Weijia Yao, 2020. "Effects of Macroprudential Policy: Evidence from Over 6,000 Estimates," IMF Working Papers 2020/067, International Monetary Fund.
    4. Saengchote, Kanis & Samphantharak, Krislert, 2022. "Banking relationship and default priority in consumer credit: Evidence from Thai microdata," Emerging Markets Review, Elsevier, vol. 52(C).
    5. Kanis Saengchote & Krislert Samphantharak, 2020. "Delinquency Priority in Consumer Credit: Evidence from Thai Microdata," PIER Discussion Papers 135, Puey Ungphakorn Institute for Economic Research.
    6. Bank for International Settlements, 2020. "Measuring the effectiveness of macroprudential policies using supervisory bank-level data," BIS Papers, Bank for International Settlements, number 110.
    7. Warapong Wongwachara & Bovonvich Jindarak & Nuwat Nookhwun & Sophon Tunyavetchakit & Chutipha Klungjaturavet, 2018. "Integrating Monetary Policy and Financial Stability: A New Framework," PIER Discussion Papers 100, Puey Ungphakorn Institute for Economic Research.

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    More about this item

    Keywords

    Macroprudential Policy; Bank Lending; Thailand;
    All these keywords.

    JEL classification:

    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis

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