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
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