Absolute Return Volatility

Cotter, John (2004): Absolute Return Volatility. Published in: Risk (June 2006): pp. 84-88.

Abstract

The use of absolute return volatility has many modelling benefits. An illustration is given for the market risk measure, minimum capital requirements.

• Item Type: MPRA Paper
• Institution: University College Dublin
• Language: English
• Subjects: G - Financial Economics > G0 - General

References

Andersen; T. G.; T. Bollerslev; and F. X. Diebold (2003). Parametric and nonparametric measurement of volatility. In Y. Ait-Sahalia and L. P. Hansen (Eds.); Handbook of Financial Econometrics. Amsterdam: North Holland. Barndorff-Nielsen; O. E. and N. Shephard (2003). Realised power variation and stochastic volatility. Bernoulli; 9; 243–265. Barndorff-Nielsen; O. E. Graversen; S. E.; and N. Shephard (2003). Power variation & stochastic volatility: a review and some new results; Unpublished paper: Nuffield College; Oxford. Brooks; C.; A. D. Clare and G. Persand; 2002; Estimating market-based minimum capital risk requirements: A multivariate GARCH approach; Manchester School; 705; 666-681. Cotter; J.; (2004). Minimum Capital Requirement Calculations for UK Futures; Journal of Futures Markets; 24; 193-220. Davidian; M.; & R. J. Carroll (1987). Variance Function Estimation. Journal of the American Statistical Association. 82; 1079-1091. Karatzas; I.; & S. E. Shreve; (1991). Brownian Motion and Stochastic Calculus (2nd ed.). Berlin: Springer-Verlag. Longin; F.M.; (1996). The asymptotic distribution of extreme stock market returns; Journal of Business; 63; 383-408. Longin; F.M.; (2000). From Value at Risk to Stress Testing: The Extreme Value Approach Journal of Banking and Finance 24(7); 1097-1130. Merton R.C.; 1980. On Estimating the Expected Return on the Market; Journal of Financial Economics; 8; 323-361. Mikosch; T. and C. Starica (2000). Limit theory for the sample autocorrelations and extremes of a GARCH(1; 1) process. Annals of Statistics; 28; 1427–1451.