Title of article
Optimal portfolio of safety-first models
Author/Authors
Ding، نويسنده , , Yuanyao and Zhang، نويسنده , , Bo، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2009
Pages
11
From page
2952
To page
2962
Abstract
The purpose of this article is to study Kataokaʹs safety-first (KSF) model, which is a representative of safety-first models of most popular models in portfolio selection of modern finance. We obtain conditions that guarantee that the KSF model has a finite optimal solution without normality assumption. When short-sell is allowed, we provide an explicit analytical solution of the KSF model in two cases. When short-sell is not allowed, we propose an iterating algorithm for finding the optimal portfolios of the KSF model. We also investigate a KSF model with constraint of mean return and obtain the explicit analytical expression of the optimal portfolio.
Keywords
iterative algorithm , Safety-first criterion , KSF model , Mean return constraint , analytical solution
Journal title
Journal of Statistical Planning and Inference
Serial Year
2009
Journal title
Journal of Statistical Planning and Inference
Record number
2220180
Link To Document