Using AMPL Studio |
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Table: Financial Data
The risk measure indicates the relative uncertainty associated with the stock in terms of it realising the projected annual return: higher values indicate greater risk.
National’s top management has stipulated the following investment guidelines
1. The annual rate of return for the portfolio must be 9% 2. No one stock can account for more than 50% of the total sterling investment They request you to find the investment decisions. Formulating the Problem into Mathematical FormIn this problem we need to find the number of stocks A, B, C and D need to be bought with the provided guidelines and with minimum risk. Now this problem needs to be presented in the mathematical form. This will involve three steps (1) Formulate an LP that minimises risk
(2) Identifying the Decision Variables The decision that National faces is to decide how much of each stock to buy.
Let x1 be the number of shares of stock A bought x2 be the number of shares of stock B bought x3 be the number of shares of stock C bought x4 be the number of shares of stock D bought
(3) Determine the values of these four variables in order to minimise National’s risk
Identify the Objective FunctionIn our example we wish to minimise risk. We risk £0.10 on each pound invested in stock A, similarly for stock B the risk is 0.07 per pound, for stock C it is 0.05, and for stock D the corresponding risk is 0.08. Thus if we buy x1 shares of stock A, we have a risk exposure of 0.10*100*x1 since each share costs £100. Similarly, if we buy x2 shares of stock B we risk 0.07*50*x2, while for stocks C and D the risk measures are 0.05*80*x2 and 0.10*40*x2. Therefore this leads to the following quantity that we wish to minimise Risk =0.10*100 x1 + 0.07*50 x2 + 0.05*80 x1 + 0.10*40 x2
Identifying the ConstraintsThe first constraint concerns the budget. That is we can’t invest more than the money we have available. This leads to the following constraint 100* x1 + 50* x2 + 80* x3 + 40* x4 200000
The second constraint concerns the rate of return of the portfolio and is as follows 100*0.12* x1 + 50*0.08* x2 + 80*0.06* x3 + 40*0.10* x4 200000*.09
Finally, the cash investment in any one stock cannot exceed 50% of the total investment 100*x1 100000 50*x2 100000 80*x3 100000 40*x4 100000 and x1 0, x2 0, x3 0 , x4 0
Translating the Mathematical Problem into AMPL ModelAMPL is mainly an algebraic language. That means it follows the algebraic syntax used in the mathematical representation of the problems. AMPL’s main keyword declarations are set, param, var and maximize/minimize Since AMPL deal with plain text files the above problem can be rewrite as the following AMPL model as follows. Where x1, x2, x3 and x4 are replaced with the most suitable variable names StockA, StockB, StockC and StockD. Minimize Risk = 10*StockA + 3.5*StockB + 4*StockC + 4*StockD
Variables StockA 1000 StockB 2000 StockC 1250 StockD 2500
Subject to 100*StockA + 50*StockB + 80*StockC + 40*StockD 200000 12*StockA + 4*StockB + 4.8*StockC + 4*StockD 18000
Using AMPL Studio to Solve the Problem.Now the AMPL model is ready for the problem. Now you open the AMPL studio.
Create WorkspaceIn order to create a new workspace for NIA’s problem create a new workspace with the following steps.
Step 1: Choose New Workspace from the File menu.
File
Step 2: Write workspace name as NIA and choose your appropriate folder (C:\) by clicking the ellipsis (…) button where you want to create your workspace.
Click OK to create the workspace at your chosen folder.
Create a ProjectStep 1: Having created a workspace, we now define a new project by selecting Insert New Project from the Project menu.
Step 2: Enter the Project name as “StepByStep1” and choose your preferred folder by clicking the ellipsis (…) button.
Check the R Add templates checkbox and write the Model name as “StepByStep1.mod” and the Data instance as “StepByStep1.dat”.
Clicking OK will create a new project with the model and data template files within the created workspace.
Create an AMPL Model file
Double clicking on the model file will open the model template file. The lines with # at the beginning are comment lines. The AMPL key words will be in blue and the numbers in red.
Step 1: Now write your AMPL model in this window.
Step 2: To check the syntax of your model choose Build Model menu from Build menu.
Build Menu
If any syntax errors occurred then the appropriate error messages will be displayed in the Console Window. In the above model displays the following syntax error.
Step 3: Double click on the error line (line 30) will display the following screen.
Step 4: The line has two errors. 1. Risk = should be replaced by Risk : 2. Semicolon is missing at the end of line.
Step 5: Make these corrections and compiling it again will show the following.
Solve and Display ResultsStep 1: In order to solve the model you need to select the solver. By default you will receive FortMP solver with your AMPL studio distribution. FortMP is a powerful solver and capable to handle this simple problem.
Solver
Step 2: Now you can run this problem by choosing the Solve Problem menu from the Build Menu.
Immediately the problem will be solved and the results will be displayed in the Editing Area.
X Enhance to Data Separated project
Creating Data and Model FilesThe following is the investment problem exploiting structure.
Solve and Display Results
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