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Exact Elliptical Distributions for Models of Conditionally Random Financial Volatility Author info | Abstract | Publisher info | Download info | Related research | Statistics George A. Christodoulakis () (Bank of Greece and Manchester Business School)
Stephen E Satchell (Trinity College, University of Cambridge and Bank of Greece)
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Assuming the time series of random returns to be jointly elliptical, we derive a relationship between its conditional variance and the probability density function of the conditioning set. In the case that such a relationship is linear in a quadratic form for of the conditioning variables, we show that the probability density function of the conditioning variables is multivariate t. This result is then applied to models of conditionally random volatility and used to derive exact results for the GARCH(p,q) class of processes previously thought to be intractable.
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Paper provided by Bank of Greece in its series Working Papers with number
32.
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Length: 21 pages
Date of creation: Jan 2006Date of revision:
Handle: RePEc:bog:wpaper:32Contact details of provider: Web page: http://www.bankofgreece.gr More information through EDIRC
For technical questions regarding this item, or to correct its listing, contact: (Christina Tsochatzi).
Keywords: Elliptical Distributions ; Financial Asset Returns ; Conditional Volatility ; GARCH ; Find related papers by JEL classification: C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions G12 - Financial Economics - - General Financial Markets - - - Asset Pricing
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