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Detection of Breakpoints in Volatility

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  • Viviana Fernandez

Abstract

Financial time-series may exhibit breakpoints in unconditional variance due, possibly, to institutional changes. Accounting for such shifts is essential to risk management, forecasting, and hedging. In this article, we test for the presence of structural breaks in volatility by two approaches: the Iterative Cumulative Sum of Squares (ICSS) algorithm and wavelet analysis. We present a series of examples in which we compare both methods. Specifically, we look at the effect of the outbreak of the Asian crisis and the terrorist attacks of September 11, 2001 on Emerging Asia, Europe, Latin America and North America’s stock markets. In addition, we focus on the behavior of interest rates in Chile after the Central Bank switched its monetary policy interest rate from an inflation-indexed to a nominal target in August 2001. Our estimation results show that the number of shifts detected by the two methods is substantially reduced when filtering out the data for both conditional heteroskedasticity and serial correlation.

Suggested Citation

  • Viviana Fernandez, 2004. "Detection of Breakpoints in Volatility," Documentos de Trabajo 194, Centro de Economía Aplicada, Universidad de Chile.
  • Handle: RePEc:edj:ceauch:194
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    4. Felipe Morandé, 2002. "Nominalización de la Tasa de Política Monetaria. Debate y Consecuencias," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 39(117), pages 239-252.
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    Cited by:

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    2. Morales, Lucía & Gassie, Esmeralda, 2011. "Structural breaks and financial volatility: Lessons from BRIC countries," IAMO Forum 2011: Will the "BRICs Decade" Continue? – Prospects for Trade and Growth 13, Leibniz Institute of Agricultural Development in Central and Eastern Europe (IAMO).
    3. Mala Raghavan & Jonathan Dark & Elizabeth Ann Maharaj, 2010. "Impact of capital control measures on the Malaysian stock market: A multiresolution analysis," International Journal of Managerial Finance, Emerald Group Publishing, vol. 6(2), pages 116-127, April.

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