Portfolio Insurance under a risk-measure constraint

Economy – Quantitative Finance – Risk Management

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

26 pages, 3 figures

Scientific paper

We study the problem of portfolio insurance from the point of view of a fund manager, who guarantees to the investor that the portfolio value at maturity will be above a fixed threshold. If, at maturity, the portfolio value is below the guaranteed level, a third party will refund the investor up to the guarantee. In exchange for this protection, the third party imposes a limit on the risk exposure of the fund manager, in the form of a convex monetary risk measure. The fund manager therefore tries to maximize the investor's utility function subject to the risk measure constraint.We give a full solution to this nonconvex optimization problem in the complete market setting and show in particular that the choice of the risk measure is crucial for the optimal portfolio to exist. Explicit results are provided for the entropic risk measure (for which the optimal portfolio always exists) and for the class of spectral risk measures (for which the optimal portfolio may fail to exist in some cases).

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

Portfolio Insurance under a risk-measure constraint 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 Portfolio Insurance under a risk-measure constraint, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Portfolio Insurance under a risk-measure constraint will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-559060

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