DocumentCode :
1306911
Title :
Time-Series Models of Dynamic Volatility and Correlation
Author :
Matteson, David S. ; Ruppert, David
Volume :
28
Issue :
5
fYear :
2011
Firstpage :
72
Lastpage :
82
Abstract :
Economic and financial time series typically exhibit time-varying conditional (given the past) standard deviations and correlations. The conditional standard deviation is also called the volatility. Higher volatilities increase the risk of assets and higher conditional correlations cause an increased risk in portfolios. Therefore, models of time-varying volatilities and correlations are essential for risk management.
Keywords :
economics; financial management; risk management; time series; dynamic volatility; economic; financial time series; risk management; time-varying conditional standard deviations; Analytical models; Data models; Maximum likelihood estimation; Portfolios; Stochastic processes; Time series analysis;
fLanguage :
English
Journal_Title :
Signal Processing Magazine, IEEE
Publisher :
ieee
ISSN :
1053-5888
Type :
jour
DOI :
10.1109/MSP.2011.941553
Filename :
5999582
Link To Document :
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