Reference: <An Introduction to Management Science Quantitative Approaches to Decision Making, Revised 13th Edition>

Instance

Hauck Investment Services designs annuities, IRAs, 401(k) plans, and other investment vehicles for investors with a variety of risk tolerances. Hauck would like to develop a portfolio model that can be used to determine an optimal portfolio involving a mix of six mutual funds. A variety of measures can be used to indicate risk, but for portfolios of financial assets all are related to variability in return. Table 5.4 shows the annual return (%) for five 1-year periods for the six mutual funds. Year 1 represents a year in which the annual returns are good for all the mutual funds. Year 2 is also a good year for most of the mutual funds. But year 3 is a bad year for the small-cap value fund; year 4 is a bad year for the intermediate-term bond fund; and year 5 is a bad year for four of the six mutual funds.

It is not possible to predict exactly the returns for any of the funds over the next 12 months, but the portfolio managers at Hauck Financial Services think that the returns for the five years shown in Table 5.4 are scenarios that can be used to represent the possibilities for the next year. For the purpose of building portfolios for their clients, Hauck’s portfolio managers will choose a mix of these six mutual funds and assume that one of the five possible scenarios will describe the return over the next 12 months.

Soultion-Conservative Portfolio

The manager’s task is to determine the proportion of the portfolio to invest in each of the six mutual funds so that the portfolio provides the best return possible with a minimum risk.

Decision variables:

FS = proportion of portfolio invested in the foreign stock mutual fund
IB = proportion of portfolio invested in the intermediate-term bond fund
LG = proportion of portfolio invested in the large-cap growth fund
LV = proportion of portfolio invested in the large-cap value fund
SG = proportion of portfolio invested in the small-cap growth fund
SV = proportion of portfolio invested in the small-cap value fund


Soultion-Moderate Risk Portfolio

Hauck’s portfolio manager would like to also construct a portfolio for clients who are willing to accept a moderate amount of risk in order to attempt to achieve better returns. Suppose that clients in this risk category are willing to accept some risk but do not want the annual return for the portfolio to drop below 2%. By setting M 2 in the minimum-return constraints in the maximin model, we can constrain the model to provide a solution with an annual return of at least 2%.

A different objective is needed for this portfolio optimization problem. A common approach is to maximize the expected value of the return for the portfolio. For instance, if we assume that the planning scenarios are equally likely, we would assign a probability of 0.20 to each scenario.

The formulation we have developed for a moderate risk portfolio can be modified to
account for other risk tolerances. If an investor can tolerate the risk of no return, the righthand
sides of the minimum-return constraints would be set to 0. If an investor can tolerate
a loss of 3%, the right-hand side of the minimum-return constraints would be set equal
to –3.

Lingo 做线性规划 - Asset allocation and Portfolio models的更多相关文章

  1. Lingo 做线性规划 - Financial Applications

    Reference: <An Introduction to Management Science Quantitative Approaches to Decision Making, Rev ...

  2. Lingo 做线性规划 - Game Thoery

    Reference: <An Introduction to Management Science Quantitative Approaches to Decision Making, Rev ...

  3. Lingo 做线性规划 - Revenue Management

    Reference: <An Introduction to Management Science Quantitative Approaches to Decision Making, Rev ...

  4. Lingo 做线性规划 - DEA

    Reference: <An Introduction to Management Science Quantitative Approaches to Decision Making, Rev ...

  5. Lingo 做线性规划 - Operation Management Applications

    Reference: <An Introduction to Management Science Quantitative Approaches to Decision Making, Rev ...

  6. Lingo 做线性规划 - Marketing Applications

    Reference: <An Introduction to Management Science Quantitative Approaches to Decision Making, Rev ...

  7. Lingo求解线性规划案例4——下料问题

    凯鲁嘎吉 - 博客园 http://www.cnblogs.com/kailugaji/ 造纸厂接到定单,所需卷纸的宽度和长度如表 卷纸的宽度 长度 5 7 9 10000 30000 20000 工 ...

  8. Lingo求解线性规划案例1——生产计划问题

    凯鲁嘎吉 - 博客园 http://www.cnblogs.com/kailugaji/ 说明: Lingo版本:                            某工厂明年根据合同,每个季度末 ...

  9. Lingo求解线性规划案例3——混料问题

    凯鲁嘎吉 - 博客园 http://www.cnblogs.com/kailugaji/  某糖果厂用原料A.B和C按不向比率混合加工而成甲.乙.丙三种糖果(假设混合加工中不损耗原料).原料A.B.C ...

随机推荐

  1. localstorage,sessionstorage使用

    今天看了一下HTML5,也算是简单的学习一下吧,HTML5 提供了两种在客户端存储数据的新方法:localstorage,sessionstorage. localStorage - 没有时间限制的数 ...

  2. js中的引用类型-object

  3. machine learning----->谷歌Cloud Machine Learning平台

    1.谷歌Cloud Machine Learning平台简介: 机器学习的三要素是数据源.计算资源和模型.谷歌在这三个方面都有强大的支撑:谷歌不仅有种类丰富且数量庞大的数据资源,而且有强大的计算机群提 ...

  4. [DB]MariaDB 与 MySql 数据库

    目前 MariaDB 已经出来几年了,本文编辑时的官网最新稳定版本是 10.1.14 链接:https://downloads.mariadb.org/ 但百度没有下载,搜狗给的下载版本是 5.5.2 ...

  5. AS错误:Error:Execution failed for task ':gM99SDK:processReleaseResources'. > com.android.ide.common.process.ProcessException: org.gradle.process.internal.ExecException: Process 'command 'F:\BaiduYunDown

    原因,buildToolsVersion 版本太低. 在build.gradle文件设置 buildToolsVersion 设置高一点,但必须是SDK里面有的.

  6. python--自动删除文件

    1.目的:定期自定删除7天前的数据 python脚本如下: #coding=utf-8 import os,time,datetime #需定时删除的目录的上一层路径 data_dir="/ ...

  7. Oracle Database常用补丁集Patch号及各版本PSU

    Oracle Database常用补丁集Patch号及各版本PSU------------------------------------------------------------------- ...

  8. ue4 SNew补遗

    上一篇分析了SNew背后的实现,但是有一个关键问题遗漏了,那就是: #define SNew( WidgetType, ... ) \ MakeTDecl<WidgetType>( #Wi ...

  9. php生成动态验证码

    <?php/*调用示例*/session_start();$checkCode='';$chars='abcdefghjkmnpqrstuvwxyzABCDEFGHJKLMNPRSTUVWXYZ ...

  10. js 页面值变动监听

    1.初始化值map对象 var compareMap = {}:// 定义全局变量 function initCompareMap(context){//context 为指定要初始化的区域,即上下文 ...