Portfolio theory in the selection of oil investment projects

Author:

Simplício Jalimar Guimarães1,Lemme Celso Funcia2,Leal Ricardo Pereira Câmara2

Affiliation:

1. Petróleo Brasileiro S.A., Brasil

2. Universidade Federal do Rio de Janeiro, Brasil

Abstract

The objective of this article is to compare investment project selection using the efficient frontier in the mean-variance space based on optimization models introduced by Markowitz (1952) with the project ranking method according to the profitability index (PI). The selection of real assets by companies did not incorporate the mean-variance optimization procedure in the same way the selection of financial assets in investment portfolios did. The process of selection and formation of portfolios of investment projects for the oil area of a company in the energy industry was analyzed. Project portfolios formed according to the usual company practice of ranking by their PI were compared with those that result from applying mean-variance optimization through Monte Carlo simulation, which allows the computation of mean returns, variances, and covariances for the set of projects considered. The inefficiency of project portfolios obtained by ranking according to the PI compared to those obtained by the method of Markowitz suggests that there are opportunities to improve the process of selecting the set of projects to be implemented by companies.

Publisher

FapUNIFESP (SciELO)

Subject

Industrial and Manufacturing Engineering,Business and International Management

Reference22 articles.

1. Holistic vs. Hole-istic E& P strategies;BALL JUNIOR B. C.;Journal of Petroleum Technology,1999

2. Managing scenario risk in offshore development projects combining portfolio analysis with scenario modeling;BRASHEAR J. P.;Offshore,2000

3. A method for approximating semivariance in project portfolio analysis;CHEN L. C.;The Engineering Economist,1991

4. A method for allocating funds to investment projects when returns are subject to uncertainty;CORD J.;Management Science,1964

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3