• 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