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