Comovement of Central European stock markets using wavelet coherence: Evidence from high-frequency data
AbstractIn this paper, we contribute to the literature on international stock market comovement. The novelty of our approach lies in usage of wavelet tools to high-frequency financial market data, which allows us to understand the relationship between stock market returns in a different way. Major part of economic time series analysis is done in time or frequency domain separately. Wavelet analysis can combine these two fundamental approaches, so we can work in time-frequency domain. Using wavelet power spectra and wavelet coherence, we have uncovered interesting dynamics of cross-correlations between Central European and Western European stock markets using high-frequency data. Our findings provide possibility of a new approach to financial risk modeling.
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Bibliographic InfoPaper provided by Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies in its series Working Papers IES with number 2011/22.
Length: 18 pages
Date of creation: Jun 2011
Date of revision: Jun 2011
comovement; stock market; wavelet analysis; wavelet coherence;
Find related papers by JEL classification:
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models &bull Diffusion Processes
- C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General
- E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
- F30 - International Economics - - International Finance - - - General
- G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- John Beirne & Guglielmo Maria Caporale & Marianne Schulze-Ghattas & Nicola Spagnolo, 2009.
"Volatility Spillovers and Contagion from Mature to Emerging Stock Markets,"
Discussion Papers of DIW Berlin
873, DIW Berlin, German Institute for Economic Research.
- John Beirne & Guglielmo Maria Caporale & Marianne Schulze-Ghattas & Nicola Spagnolo, 2013. "Volatility Spillovers and Contagion from Mature to Emerging Stock Markets," Review of International Economics, Wiley Blackwell, vol. 21(5), pages 1060-1075, November.
- Guglielmo Maria Caporale & Marianne Schulze-Ghattas & John Beirne & Nicola Spagnolo, 2008. "Volatility Spillovers and Contagion From Mature to Emerging Stock Markets," IMF Working Papers 08/286, International Monetary Fund.
- Beirne, John & Caporale, Guglielmo Maria & Schulze-Ghattas, Marianne & Spagnolo, Nicola, 2009. "Volatility spillovers and contagion from mature to emerging stock markets," Working Paper Series 1113, European Central Bank.
- John Beirne & Guglielmo Maria Caporale & Marianne Schulze-Ghattas & Nicola Spagnolo, 2009. "Volatility Spillovers and Contagion from Mature to Emerging Stock Markets," CESifo Working Paper Series 2545, CESifo Group Munich.
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