Arbeitspapier

Detecting Ponzi finance: An evolutionary approach to the measure of financial fragility

Different frameworks of analysis lead to different conceptions of financial instability and financial fragility. On one side, the static approach conceptualizes financial instability as an unfortunate byproduct of capitalism that results from unpredictable random forces that no one can do anything about except prepare for through adequate loss reserves, capital, and liquidation buffers. On the other side, the evolutionary approach conceptualizes financial instability as something that the current economic system invariably brings upon itself through internal market and nonmarket forces, and that requires change in financial practices rather than merely good financial buffers. This paper compares the two approaches in order to lay the foundation for the empirical analysis developed within the evolutionary approach. The paper shows that, with the use of macroeconomic data, it is possible to detect financial fragility, especially Ponzi finance. The methodology is applied to residential housing in the U.S. household sector and is able to capture some of the trends that are known to be sources of economic difficulties. Notably, the paper finds that Ponzi finance was going on in the housing sector from at least 2004 to 2007, which concurs with other works based on more detailed data.

Sprache
Englisch

Erschienen in
Series: Working Paper ; No. 605

Klassifikation
Wirtschaft
General Aggregative Models: Keynes; Keynesian; Post-Keynesian
Business Fluctuations; Cycles
Financial Crises
Thema
financial fragility
financial crisis
financial policy
Minsky

Ereignis
Geistige Schöpfung
(wer)
Tymoigne, Éric
Ereignis
Veröffentlichung
(wer)
Levy Economics Institute of Bard College
(wo)
Annandale-on-Hudson, NY
(wann)
2010

Handle
Letzte Aktualisierung
10.03.2025, 11:44 MEZ

Datenpartner

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ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Tymoigne, Éric
  • Levy Economics Institute of Bard College

Entstanden

  • 2010

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