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Dynamic structure of the US financial systems

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  • Khaldoun Khashanah
  • Linyan Miao

Abstract

Purpose - This paper empirically investigates the structural evolution of the US financial systems. It particularly aims to explore if the structure of the financial systems changes when the economy enters a recession. Design/methodology/approach - The empirical analysis is conducted through the statistical approach of principal components analysis (PCA) and the graph theoretic approach of minimum spanning trees (MSTs). Findings - The PCA results suggest that the VIX was the dominant factor influencing the financial system prior to the recession; however, the monetary policy represented by the three‐month T‐bill yield became the leading factor in the system during the recession. By analyzing the MSTs, we find evidence that the structure of the financial system during the economic recession is substantially different from that during the period of economic expansion. Moreover, we discover that the financial markets are more integrated during the economic recession. The much stronger integration of the financial system was found to start right before the advent of the recession. Practical implications - Research findings will help individuals, institutions, regulators, central bankers better understand the market structure under the economic turmoil, so more efficient strategies can be used to minimize the systemic risk. Originality/value - This study compares the structure of the US financial markets in economic expansion and contraction periods. The structural dynamics of the financial system are explored, focusing on the recent economic recession triggered by the US subprime mortgage crisis. We introduce a new systemic risk measure.

Suggested Citation

  • Khaldoun Khashanah & Linyan Miao, 2011. "Dynamic structure of the US financial systems," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 28(4), pages 321-339, October.
  • Handle: RePEc:eme:sefpps:v:28:y:2011:i:4:p:321-339
    DOI: 10.1108/10867371111171564
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    References listed on IDEAS

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    3. Gautier Marti & Frank Nielsen & Miko{l}aj Bi'nkowski & Philippe Donnat, 2017. "A review of two decades of correlations, hierarchies, networks and clustering in financial markets," Papers 1703.00485, arXiv.org, revised Nov 2020.
    4. Khashanah, Khaldoun & Yang, Hanchao, 2016. "Evolutionary systemic risk: Fisher information flow metric in financial network dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 445(C), pages 318-327.

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