Dynamic Method for Portfolio Choice of Manufacturing Processes Based on Copulas

Article Preview

Abstract:

Multivariate volatility modeling is always a hot topic in academic research. It is difficult to consider how to construct multivariate joint distribution. Copulas, a statistic method, can be used to decompose multivariate joint distribution into marginal distribution and correlation structure. This advantage is applied into calculating the dynamic VAR of a portfolio in the paper. Furthermore, a new model for dynamic portfolio choice based on copulas is proposed, and empirical analysis is operated for the several typical discrete manufacturing processes in the end.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

562-566

Citation:

Online since:

December 2010

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] F. Linskog, A. McNeil, Schomock U. Kendall'. Evaluation and Management ( 2002).

Google Scholar

[2] A. Juri, "Wuthrichts M.V. Insurance, Mathematics and Economics. 30, 405(2002).

Google Scholar

[3] A. Hamerle, D. Rosch, Journal of Risk, 8, 35(2005).

Google Scholar

[4] M. Rockinger, E. Jondeau, Journal of International Money and Finance, 25 (2006).

Google Scholar

[5] Y. H. Wei, S. Y. Zhang, Journal of Systems Engineering, 21, 313(2006).

Google Scholar

[6] Z. X. Wu, M. Chen. W. Y. Ye, etc., Systems Engineering-Theory & Practice, 26, 45(2007).

Google Scholar

[7] D. J. Shi, Y. Li, Journal of Tianjin University of Technology, 23, 13(2007).

Google Scholar

[8] Q. F. Xu, C. X. Jiang, Journal of Shanxi Finance and Economics University, 30, 94(2008).

Google Scholar