• DocumentCode
    577450
  • Title

    Processing of high frequency data with risk aversion

  • Author

    Kritski, O.L.

  • Author_Institution
    Tomsk Polytech. Univ., Tomsk, Russia
  • fYear
    2012
  • fDate
    18-21 Sept. 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper suggests the calculation methodology of univariate and multivariate absolute risk aversion based on asymptotic analysis of conditional expectation and future excess return variance. In the paper we provide modification of the multivariate econometric algorithm on the assumption of weakly time-varying correlation matrices for which the conditions of positive definiteness were received. We prove theorems on relation between risk aversion of shares and futures. Next, concerning risk aversion of various financial instruments with common underlying asset, we defined a time-varying stochastic no-arbitrage interest rate used in Black-Cox credit risk model.
  • Keywords
    data handling; risk analysis; asymptotic analysis; black-cox credit risk model; calculation methodology; financial instruments; high frequency data processing; multivariate absolute risk aversion; multivariate econometric algorithm; return variance; risk aversion; univariate absolute risk aversion; Correlation; Covariance matrix; Economic indicators; Estimation; Mathematical model; Stochastic processes; Vectors; Black-Cox credit risk model; risk aversion; stochastic no-arbitrage interest rate;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Strategic Technology (IFOST), 2012 7th International Forum on
  • Conference_Location
    Tomsk
  • Print_ISBN
    978-1-4673-1772-6
  • Type

    conf

  • DOI
    10.1109/IFOST.2012.6357629
  • Filename
    6357629