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An analysis of the literature on systemic financial risk: A survey

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  • Silva, Walmir
  • Kimura, Herbert
  • Sobreiro, Vinicius Amorim

Abstract

This article presents an analysis of the literature on systemic financial risk. To that end, we analyze and classify 266 articles that were published no later than September 2016 in the databases Scopus and Web of Knowledge; these articles were identified using the keywords “systemic risk”, “financial stability”, “financial”, “measure”, “indicator”, and “index”. They were evaluated based on 10 categories, namely, type of study, type of approach, object of study, method, spatial scope, temporal scope, context, focus, type of data used, and results. The analysis and classification of this literature made it possible to identify the remaining gaps in the literature on systemic risk; this contributes to a future research agenda on the topic. Moreover, the most influential articles in this field of research and the articles that compose the mainstream research on systemic financial risk were identified.

Suggested Citation

  • Silva, Walmir & Kimura, Herbert & Sobreiro, Vinicius Amorim, 2017. "An analysis of the literature on systemic financial risk: A survey," Journal of Financial Stability, Elsevier, vol. 28(C), pages 91-114.
  • Handle: RePEc:eee:finsta:v:28:y:2017:i:c:p:91-114
    DOI: 10.1016/j.jfs.2016.12.004
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    More about this item

    Keywords

    Systemic risk; Financial stability; Bibliometry; Financial; Measure;
    All these keywords.

    JEL classification:

    • G01 - Financial Economics - - General - - - Financial Crises
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G2 - Financial Economics - - Financial Institutions and Services
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling

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