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  • Search: subject:"Kyrtosis"
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Year of publication
Subject
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Heteroscedasticity 3 Kyrtosis 3 Maximum likelihood 1 Time Series 1 Time series 1 time series 1
Online availability
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Free 3
Type of publication
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Book / Working Paper 2 Article 1
Language
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Undetermined 2 English 1
Author
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Politis, Dimitris N. 3
Institution
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Department of Economics, University of California-San Diego (UCSD) 2
Published in...
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University of California at San Diego, Economics Working Paper Series 2 Annals of Economics and Finance 1
Source
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RePEc 3
Showing 1 - 3 of 3
Did you mean: subject:"kurtosis" (617 results)
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A heavy-tailed distribution for ARCH residuals with application to volatility prediction
Politis, Dimitris N. - Department of Economics, University of California-San … - 2004
The quest for the ‘best’ heavy-tailed distribution for ARCH/GARCH residuals appears to still be ongoing. In this connection, we propose a new distribution that arises in a natural way as an outcome of an implicit model. The challenging application of prediction of squared returns is...
Persistent link: https://www.econbiz.de/10011130678
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A Heavy-Tailed Distribution for ARCH Residuals with Application to Volatility Prediction
Politis, Dimitris N. - In: Annals of Economics and Finance 5 (2004) 2, pp. 283-298
The quest for the `best' heavy-tailed distribution for ARCH/GARCH residuals appears to still be ongoing. In this connection, we propose a new distribution that arises in a natural way as an outcome of an implicit model. The challenging application of prediction of squared returns is also...
Persistent link: https://www.econbiz.de/10009149990
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Cover Image
Model-Free Volatility Prediction
Politis, Dimitris N. - Department of Economics, University of California-San … - 2003
The well-known ARCH/GARCH models with normal errors account only partly for the degree of heavy tails empirically found in the distribution of financial returns series. Instead of resorting to an arbitrary nonnormal distribution for the ARCH/GARCH residuals we propose a different viewpoint via a...
Persistent link: https://www.econbiz.de/10011130669
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