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Measuring flight to quality: a local correlation analysis

Author

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  • A. Can Inci
  • H.C. Li
  • Joseph McCarthy

Abstract

Purpose - The purpose of this paper is to use the local correlation technique to measure flight to quality, which is defined as a pronounced and generally rapid increase in risk aversion. Flight to quality between American, British, German, Japanese, and Hong Kong spot equity indices and index futures is examined. Design/methodology/approach - The technique of non‐linear local correlation is employed to detect flight to quality in both spot and futures markets. The use of this methodology allows us to properly process both normally or non‐normally distributed time series. In addition, the estimation of local correlation minimizes the theoretical restrictions resulting from the selection of conditional events and the use of linear regression. Findings - As market risk grows, an increase in flight to quality is documented. For example, a crash in the US stock market results in the flight of capital to the Treasury bond market. Evidence of flight to quality from domestic and foreign spot equity markets to US Treasury bonds is provided. Furthermore, flights to quality from domestic and foreign index futures to US bond futures are revealed. The strength of the reaction from one market to the other is measured and reported. Surprisingly, the authors observe that when market risk becomes extremely high, flight to quality diminishes. Originality/value - To the best of the authors' knowledge, this is the first study that examines flight to quality in the futures markets by applying local correlation analysis. This study broadens the application of local polynomial regression and local correlation analysis.

Suggested Citation

  • A. Can Inci & H.C. Li & Joseph McCarthy, 2011. "Measuring flight to quality: a local correlation analysis," Review of Accounting and Finance, Emerald Group Publishing Limited, vol. 10(1), pages 69-87, February.
  • Handle: RePEc:eme:rafpps:v:10:y:2011:i:1:p:69-87
    DOI: 10.1108/14757701111113820
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    References listed on IDEAS

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    1. Brière, Marie & Chapelle, Ariane & Szafarz, Ariane, 2012. "No contagion, only globalization and flight to quality," Journal of International Money and Finance, Elsevier, vol. 31(6), pages 1729-1744.
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    8. Luc Bauwens & Sébastien Laurent & Jeroen V. K. Rombouts, 2006. "Multivariate GARCH models: a survey," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(1), pages 79-109, January.
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    Cited by:

    1. Brière, Marie & Chapelle, Ariane & Szafarz, Ariane, 2012. "No contagion, only globalization and flight to quality," Journal of International Money and Finance, Elsevier, vol. 31(6), pages 1729-1744.
    2. Mariya Gubareva & Maria Rosa Borges, 2016. "Typology for flight-to-quality episodes and downside risk measurement," Applied Economics, Taylor & Francis Journals, vol. 48(10), pages 835-853, February.
    3. Geoffrey R. D. Underhill & Erik Jones, 2023. "Optimum financial areas: Retooling the governance of global finance," The World Economy, Wiley Blackwell, vol. 46(6), pages 1582-1608, June.
    4. Mariya Gubareva & Maria Rosa Borges, 2013. "Typological Classification, Diagnostics, and Measurement of Flights-to-Quality," Working Papers Department of Economics 2013/15, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    5. Ashis Kumar Pradhan & Gourishankar S. Hiremath, 2017. "The Capital Flight From India: A Case Of Missing Woods For Trees?," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 65(02), pages 365-383, January.

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