arrow
Return

Absolute return portfolios

delete2014-06-01
delete23
PRE
AI
C
Cristiano Arbex Valle
N
Nigel Meade
J
J. E. Beasley *
DOI:10.1016/j.omega.2013.12.003delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
In this paper we consider the problem of selecting an absolute return portfolio. This is a portfolio of assets that is designed to deliver a good return irrespective of how the underlying market (typically as represented by a market index) performs. We present a three-stage mixed-integer zero-one program for the problem that explicitly considers transaction costs associated with trading. The first two stages relate to a regression of portfolio return against time, whilst the third stage relates to minimising transaction cost. We extend our approach to the problem of designing portfolios with differing characteristics. In particular we present models for enhanced indexation (relative return) portfolios and for portfolios that are a mix of absolute and relative return. Computational results are given for portfolios derived from universes defined by S&P international equity indices. (C) 2013 Elsevier Ltd. All rights reserved.
Keywords:
Absolute return portfolio
Linear regression
Mixed-integer programming
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

O
Omega-International Journal of Management Science
IF:
7.2
Papers:
3.7K
Citations:
1.4W

Organization

B
brunel university
Scholars:
5.8K
Papers: 7.1K
Citations: 9
I
Imperial College London
Scholars:
8.3W
Papers: 7.3W
Citations: 11.1W