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Time-Varying Quantiles Author info | Abstract | Publisher info | Download info | Related research | Statistics DeRossi, G.
Harvey, A.
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A time-varying quantile can be fitted to a sequence of observations by formulating a time series model for the corresponding population quantile and iteratively applying a suitably modified state space signal extraction algorithm. Quantiles estimated in this way provide information on various aspects of a time series, including dispersion, asymmetry and, for financial applications, value at risk. Tests for the constancy of quantiles, and associated contrasts, are constructed using indicator variables; these tests have a similar form to stationarity tests and, under the null hypothesis, their asymptotic distributions belong to the Cramér von Mises family. Estimates of the quantiles at the end of the series provide the basis for forecasting. As such they offer an alternative to conditional quantile autoregressions and, at the same time, give some insight into their structure and potential drawbacks.
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Paper provided by Faculty of Economics, University of Cambridge in its series Cambridge Working Papers in Economics with number
0649.
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Length: 42
Date of creation: Jul 2006Date of revision:
Handle: RePEc:cam:camdae:0649Note: EcContact details of provider: Web page: http://www.econ.cam.ac.uk/index.htm
For technical questions regarding this item, or to correct its listing, contact: (Howard Cobb).
Keywords: Dispersion ; quantile regression ; signal extraction ; state space smoother ; stationarity tests ; value at risk. ; Other versions of this item:
Find related papers by JEL classification: C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Semiparametric and Nonparametric Methods C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions
This paper has been announced in the following NEP Reports :
References listed on IDEAS 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.: Komunjer, Ivana, 2005.
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Papers
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repec:cup:etheor:v:12:y:1996:i:5:p:793-813 is not listed on IDEAS
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Siem Jan Koopman & Neil Shephard & Jurgen A. Doornik, 1999.
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"Asymmetric Least Squares Estimation and Testing ,"
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"Signal extraction and the formulation of unobserved components models ,"
Econometrics Journal ,
Royal Economic Society, vol. 3(1), pages 84-107.
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references Cited by : (explanations , 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.)
Maria Rosa Nieto & Esther Ruiz, 2008.
"Measuring financial risk : comparison of alternative procedures to estimate VaR and ES ,"
Statistics and Econometrics Working Papers
ws087326, Universidad Carlos III, Departamento de Estadística y Econometría.
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Busetti, F. & Harvey, A., 2008.
"When is a copula constant? A test for changing relationships ,"
Cambridge Working Papers in Economics
0841, Faculty of Economics, University of Cambridge.
[Downloadable!]
DeRossi, G. & Harvey, A., 2007.
"Quantiles, Expectiles and Splines ,"
Cambridge Working Papers in Economics
0660, Faculty of Economics, University of Cambridge.
[Downloadable!]
Other versions:
DeRossi, G. & Harvey, A., 2007.
"Quantiles, Expectiles and Splines ,"
Cambridge Working Papers in Economics
0702, Faculty of Economics, University of Cambridge.
[Downloadable!] De Rossi, Giuliano & Harvey, Andrew, 2009.
"Quantiles, expectiles and splines ,"
Journal of Econometrics ,
Elsevier, vol. 152(2), pages 179-185, October.
[Downloadable!] (restricted) Busettti, F. & Harvey, A., 2007.
"Tests of time-invariance ,"
Cambridge Working Papers in Economics
0657, Faculty of Economics, University of Cambridge.
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Other versions: Harvey, A., 2008.
"Dynamic distributions and changing copulas ,"
Cambridge Working Papers in Economics
0839, Faculty of Economics, University of Cambridge.
[Downloadable!]
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