Detecting Contagion with Correlation: Volatility and Timing Matter
AbstractWe examine whether contagion tests are affected by controls for volatility clustering and the collection of synchronized data sets. Without controlling for volatility clustering synchronization does not apparently matter. Once volatility clustering is accounted for synchronized data dramatically changes results.
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Bibliographic InfoPaper provided by University of Tasmania, School of Economics and Finance in its series Working Papers with number 10447.
Length: 13 pages
Date of creation: 01 May 2010
Date of revision: 01 May 2010
Publication status: Published by the University of Tasmania. Discussion paper 2010-03
Contagion; interdependence; timing; volatility spillover;
Other versions of this item:
- Mardi Dungey & Abdullah Yalama, 2009. "Detecting Contagion with Correlation: Volatility and Timing Matter," CAMA Working Papers 2009-23, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- G01 - Financial Economics - - General - - - Financial Crises
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models &bull Diffusion Processes
- G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
- C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
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.:
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NBER Working Papers
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- Hong, Yongmiao, 2001. "A test for volatility spillover with application to exchange rates," Journal of Econometrics, Elsevier, vol. 103(1-2), pages 183-224, July.
- Abdullah Yalama, 2012. "International Financial Contagion: The Role of the UK," Bogazici Journal of Economics and Administrative Sciences, Bogazici University, Department of Economics, vol. 26(2), pages 115-129.
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