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Borrowing Capacity, Financial Instability, And Contagion

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  • YOUNGNA CHOI

    (Department of Mathematical Sciences, Montlcair State University, 1 Normal Avenue, Montclair, New Jersey 07043, USA)

Abstract

We use the case of the 2007 United States subprime mortgage crisis to investigate the impact of borrowing capacity limitations on financial instability and contagion. We divide an economy into agents that interact via flow of funds and express the financial instability level of each agent as a function of time derivatives of its wealth, cash inflows, and borrowing capacity. We show that among these factors, the borrowing capacity, which is determined by other economic constraints, has the largest impact on financial instability. It is suggested that borrowing capacity limitations could even cause contagion through feedback loop formed by flow of funds. We use historical time series of the integrated macroeconomic accounts of the United Stated from 1960 to 2017 to verify our conjecture by quantifying the financial instability levels of the agents under different levels of borrowing capacity and how they affect one another during the period of the subprime mortgage crisis. Finally, the constraints of data collecting practice outside the United States in assessing borrowing capacity is addressed, accompanied by partial, yet compatible, results of selected Eurozone countries.

Suggested Citation

  • Youngna Choi, 2019. "Borrowing Capacity, Financial Instability, And Contagion," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 22(01), pages 1-25, February.
  • Handle: RePEc:wsi:ijtafx:v:22:y:2019:i:01:n:s0219024918500607
    DOI: 10.1142/S0219024918500607
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    References listed on IDEAS

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    1. Daron Acemoglu & Asuman Ozdaglar & Alireza Tahbaz-Salehi, 2015. "Systemic Risk and Stability in Financial Networks," American Economic Review, American Economic Association, vol. 105(2), pages 564-608, February.
    2. Youngna Choi & Raphaël Douady, 2013. "Financial Crisis and Contagion: A Dynamical Systems Approach," Post-Print hal-00666752, HAL.
    3. Giuseppe Castellacci & Youngna Choi, 2014. "Financial instability contagion: a dynamical systems approach," Quantitative Finance, Taylor & Francis Journals, vol. 14(7), pages 1243-1255, July.
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    5. Youngna Choi & Raphael Douady, 2012. "Financial crisis dynamics: attempt to define a market instability indicator," Quantitative Finance, Taylor & Francis Journals, vol. 12(9), pages 1351-1365, August.
    6. Youngna Choi, 2018. "Masked Instability: Within-Sector Financial Risk in the Presence of Wealth Inequality," Risks, MDPI, vol. 6(3), pages 1-15, June.
    7. Castellacci, Giuseppe & Choi, Youngna, 2015. "Modeling contagion in the Eurozone crisis via dynamical systems," Journal of Banking & Finance, Elsevier, vol. 50(C), pages 400-410.
    8. Rama Cont & Amal Moussa & Edson B Santos, 2013. "Network structure and systemic risk in banking systems," Post-Print hal-00912018, HAL.
    9. Hyman P. Minsky, 1992. "The Financial Instability Hypothesis," Economics Working Paper Archive wp_74, Levy Economics Institute.
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    Cited by:

    1. Youngna Choi, 2022. "Economic Stimulus and Financial Instability: Recent Case of the U.S. Household," JRFM, MDPI, vol. 15(6), pages 1-25, June.

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