VaR-Efficient Portfolios for a Class of Super- and Sub-Exponentially Decaying Assets Return Distributions

Physics – Physics and Society

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Latex document of 33 pages including 1 table and 2 eps figures

Scientific paper

10.1088/1469-7688/4/1/002

Using a family of modified Weibull distributions, encompassing both sub-exponentials and super-exponentials, to parameterize the marginal distributions of asset returns and their multivariate generalizations with Gaussian copulas, we offer exact formulas for the tails of the distribution $P(S)$ of returns $S$ of a portfolio of arbitrary composition of these assets. We find that the tail of $P(S)$ is also asymptotically a modified Weibull distribution with a characteristic scale $\chi$ function of the asset weights with different functional forms depending on the super- or sub-exponential behavior of the marginals and on the strength of the dependence between the assets. We then treat in details the problem of risk minimization using the Value-at-Risk and Expected-Shortfall which are shown to be (asymptotically) equivalent in this framework.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

VaR-Efficient Portfolios for a Class of Super- and Sub-Exponentially Decaying Assets Return Distributions does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with VaR-Efficient Portfolios for a Class of Super- and Sub-Exponentially Decaying Assets Return Distributions, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and VaR-Efficient Portfolios for a Class of Super- and Sub-Exponentially Decaying Assets Return Distributions will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-386309

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.