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The Procyclical Leverage Effect Of Collateral Value On Bank Loans—Evidence From The Transaction Data Of Taiwan

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  • NAN‐KUANG CHEN
  • HUNG‐JEN WANG

Abstract

We investigated the empirical relationship between firms’ collateral values and land‐secured loans over asset price cycles. A simultaneous equation model of loan demand and supply was estimated using a transaction‐level data set from Taiwan. The data set contains collateral information and identifies lenders and borrowers. We found that the value of collateralizable assets has positive and significant effects on loan amounts and that the leverage effect of collateral is procyclical to asset price cycles. Firms in the electronics industry, the star industry in the sample period, are found to borrow more than other firms do at each marginal dollar of collateral. (JEL C50, E30, G20)

Suggested Citation

  • Nan‐Kuang Chen & Hung‐Jen Wang, 2007. "The Procyclical Leverage Effect Of Collateral Value On Bank Loans—Evidence From The Transaction Data Of Taiwan," Economic Inquiry, Western Economic Association International, vol. 45(2), pages 395-406, April.
    • Handle: RePEc:bla:ecinqu:v:45:y:2007:i:2:p:395-406
    DOI: 10.1111/j.1465-7295.2006.00015.x
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    2. Charles Ka Yui Leung & Joe Cho Yiu Ng, 2018. "Macro Aspects of Housing," GRU Working Paper Series GRU_2018_016, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
    3. Huang, Daisy J. & Leung, Charles K. & Qu, Baozhi, 2015. "Do bank loans and local amenities explain Chinese urban house prices?," China Economic Review, Elsevier, vol. 34(C), pages 19-38.
    4. Chien-An Wang & Chin-Oh Chang, 2008. "Is It a Heavy Log that Broke the Camel’s Back? Evidence of the Credit Channel in Taiwan’s Construction Industry," International Real Estate Review, Global Social Science Institute, vol. 11(1), pages 38-64.
    5. Kenneth K. Chow & Matthew S. Yiu & Charles Ka Yui Leung & Dickson C. Tam, 2008. "Does the DiPasquale-Wheaton Model Explain the House Price Dynamics in China Cities?," Working Papers 212008, Hong Kong Institute for Monetary Research.
    6. Zheng Zheng Li & Chi-Wei Su, 2023. "How does real estate market react to the iron ore boom in Australian capital cities?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 71(2), pages 517-537, October.
    7. Charles Ka Yui Leung & Wei Wang, 2007. "An Examination of the Chinese Housing Market through the Lens of the DiPasquale- Wheaton Model: a Graphical Attempt," International Real Estate Review, Global Social Science Institute, vol. 10(2), pages 131-165.
    8. Wing Leong Teo, 2009. "Estimated Dynamic Stochastic General Equilibrium Model Of The Taiwanese Economy," Pacific Economic Review, Wiley Blackwell, vol. 14(2), pages 194-231, May.
    9. Leung, Charles Ka Yui & Chow, Kenneth & Yiu, Matthew & Tam, Dickson, 2010. "House Market in Chinese Cities: Dynamic Modeling, In-Sampling Fitting and Out-of-Sample Forecasting," MPRA Paper 27367, University Library of Munich, Germany.
    10. Charles Ka Yui LEUNG, 2022. "Housing and Macroeconomics," ISER Discussion Paper 1197, Institute of Social and Economic Research, Osaka University.
    11. Li, Ying-Syuan & Li, Yiting, 2013. "Liquidity and asset prices: A new monetarist approach," Journal of Monetary Economics, Elsevier, vol. 60(4), pages 426-438.
    12. T. Thanh-Binh Nguyen & Kuan-Min Wang, 2010. "Causality between housing returns, inflation and economic growth with endogenous breaks," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 8(1), pages 95-115.
    13. Joe Cho Yiu Ng & Charles Ka Yui Leung & Suikang Chen, 2024. "Corporate Real Estate Holding and Stock Returns: Testing Alternative Theories with International Listed Firms," The Journal of Real Estate Finance and Economics, Springer, vol. 68(1), pages 74-102, January.
    14. Tommy Wu & Michael Cheng & Ken Wong, 2017. "Bayesian analysis of Hong Kong's housing price dynamics," Pacific Economic Review, Wiley Blackwell, vol. 22(3), pages 312-331, August.

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    More about this item

    JEL classification:

    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
    • G20 - Financial Economics - - Financial Institutions and Services - - - General

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