Risk Asset Portfolio Choice Models under Three Risk Measures

Article Preview

Abstract:

Mean-variance model, value at risk and Conditional Value at Risk are three chief methods to measure financial risk recently. The demonstrative research shows that three optional questions are equivalence when the security rates have a multivariate normal distribution and the given confidence level is more than a special value. Applications to real data provide empirical support to this methodology. This result has provided new methods for us about further research of risk portfolios.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 204-210)

Pages:

537-540

Citation:

Online since:

February 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Liu Xiaomao, Li Chulin & Wang Jianhua. Mean-CVaR Efficient Frontier and Its Economic Implications, Journal of Industrial Engineering ManagementVol. 17(2003), pp.29-32.

Google Scholar

[2] Wang Jianhua, Li Chulin. A New Method to Measure and Control Financial Risk. Journal of Wuhan University of Science and Technology(Information & Management Engineering) Vol. 24(2002), pp.60-63.

Google Scholar

[3] Rockfeller T, Uryasev S. Optimization of Conditional Value at Risk. Journal of Risk Vol. 2(2000), pp.21-24.

Google Scholar

[4] Alexander GJ, Baptista A M. Economic Implications of Using a Mean VaR Model for Portfolio Selection: a Comparison with Mean Variance Analysis, Journal of Economic Dynamics & Contral, Vol. 26(2002), pp.1159-1193.

DOI: 10.1016/s0165-1889(01)00041-0

Google Scholar

[5] Alexander GJ, Baptista A M. CVaR As a Measure of Risk: Implications for Portfolio Selection, Working Paper, (2003).

Google Scholar

[6] Robert A Jarrow, Stuart M Turnbull.The intersection of marker and credit risk, Journal of Banking & Finance, Vol. 24(2000), p.271–299.

Google Scholar

[7] Wang Yuling. The application of CVaR in portfolio, Statistics and Decision, Vol. 254(2000), p.271–299.

Google Scholar

[8] Artzner P, Delbaen F, Eber J M, Heath D.Coherent measures of risk. Mathematical Finance. Vol. 9(1999), p.203–228.

DOI: 10.1111/1467-9965.00068

Google Scholar