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Subprime Mortgages, Market Impact, and Safety Nets

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  • Ronald D. Watson

    (Rutgers Business School, Rutgers University, 94 Rockefeller Road, Piscataway, NJ, USA)

Abstract

The US financial system is undergoing a painful restructuring as credit losses originating in the mortgage finance sector of the economy grow ever larger. A combination of factors including general prosperity, demographic shifts in demand for housing, low interest rates, innovations in mortgage lending and securitization, and a breakdown in credit quality control systems all contributed to this problem. Public policymakers and industry leaders are struggling to find ways to stem the credit losses, restructure and recapitalize the financial industry, and set the economy on a path to recovery. This paper reviews the origins of this problem, explains the events that precipitated the crisis in 2007, and analyzes the pros and cons of the "fixes" that have been proposed to address these problems.

Suggested Citation

  • Ronald D. Watson, 2008. "Subprime Mortgages, Market Impact, and Safety Nets," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 11(03), pages 465-492.
  • Handle: RePEc:wsi:rpbfmp:v:11:y:2008:i:03:n:s021909150800143x
    DOI: 10.1142/S021909150800143X
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    References listed on IDEAS

    as
    1. 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.
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    Cited by:

    1. Solomon Y. Deku & Alper Kara & Artur Semeyutin, 2021. "The predictive strength of MBS yield spreads during asset bubbles," Review of Quantitative Finance and Accounting, Springer, vol. 56(1), pages 111-142, January.
    2. Wan-Chien Chiu & Chih-Wei Wang & Wei-Ning Wu & Chuan-Ju Lin, 2017. "Impact of Rollover Risk and Corporate Policy on Extreme Risk in the Taiwanese Manufacturing Industry," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 20(03), pages 1-20, September.
    3. Lee, Y. & So, Leh-chyan, 2013. "Enemies or Allies: Pricing counterparty credit risk for synthetic CDO tranches," MPRA Paper 52371, University Library of Munich, Germany.
    4. Solomon Y. Deku & Alper Kara & Nodirbek Karimov, 2021. "Do investors value frequent issuers in securitization?," Review of Quantitative Finance and Accounting, Springer, vol. 57(4), pages 1247-1282, November.
    5. José Dias & Sofia Ramos, 2014. "The aftermath of the subprime crisis: a clustering analysis of world banking sector," Review of Quantitative Finance and Accounting, Springer, vol. 42(2), pages 293-308, February.
    6. Mehrzad Azmi Shabestari & Kevin Moffitt & Bharat Sarath, 2020. "Did the banking sector foresee the financial crisis? Evidence from risk factor disclosures," Review of Quantitative Finance and Accounting, Springer, vol. 55(2), pages 647-669, August.
    7. Stephanos Papadamou & Costas Siriopoulos, 2012. "Banks’ lending behavior and monetary policy: evidence from Sweden," Review of Quantitative Finance and Accounting, Springer, vol. 38(2), pages 131-148, February.
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    More about this item

    Keywords

    Subprime mortgage; securitization; credit risk; monetary policy; G21; G28; E44; E63;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • G2 - Financial Economics - - Financial Institutions and Services
    • G3 - Financial Economics - - Corporate Finance and Governance

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