Weakly nonlinear analysis of the Hamilton-Jacobi-Bellman equation arising from pension savings management

Economy – Quantitative Finance – Portfolio Management

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

20 pages

Scientific paper

The main purpose of this paper is to analyze solutions to a fully nonlinear parabolic equation arising from the problem of optimal portfolio construction. We show how the problem of optimal stock to bond proportion in the management of pension fund portfolio can be formulated in terms of the solution to the Hamilton-Jacobi-Bellman equation. We analyze the solution from qualitative as well as quantitative point of view. We construct useful bounds of solution yielding estimates for the optimal value of the stock to bond proportion in the portfolio. Furthermore we construct asymptotic expansions of a solution in terms of a small model parameter. Finally, we perform sensitivity analysis of the optimal solution with respect to various model parameters and compare analytical results of this paper with the corresponding known results arising from time-discrete dynamic stochastic optimization model.

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

Weakly nonlinear analysis of the Hamilton-Jacobi-Bellman equation arising from pension savings management 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 Weakly nonlinear analysis of the Hamilton-Jacobi-Bellman equation arising from pension savings management, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Weakly nonlinear analysis of the Hamilton-Jacobi-Bellman equation arising from pension savings management will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-100723

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