Dynamic Principal Component Analysis of Multivariate Volatility via Fourier Analysis
AbstractA method is proposed to compute a time-varying correlation matrix between asset prices. The method has a natural geometric interpretation in terms of dynamic principal components analysis. The paper illustrates, via Monte Carlo experiments and data analysis, the potential of the method in computing cross-correlations; and it describes market integration, introducing the concept of reference asset.
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Bibliographic InfoArticle provided by Taylor and Francis Journals in its journal Applied Mathematical Finance.
Volume (Year): 12 (2005)
Issue (Month): 2 ()
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Web page: http://taylorandfrancis.metapress.com/link.asp?target=journal&id=100141
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- Neil Shephard & Ole E. Barndorff-Nielsen, 2005.
"Variation, jumps, market frictions and high frequency data in financial econometrics,"
Economics Series Working Papers
240, University of Oxford, Department of Economics.
- Ole E. Barndorff-Nielsen & Neil Shephard, 2005. "Variation, jumps, market frictions and high frequency data in financial econometrics," Economics Papers 2005-W16, Economics Group, Nuffield College, University of Oxford.
- Ole E. Barndorff-Nielsen & Neil Shephard, 2005. "Variation, jumps, market frictions and high frequency data in financial econometrics," OFRC Working Papers Series 2005fe08, Oxford Financial Research Centre.
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