Linear programming bank assets problem

In summary, the bank's objective is to maximise the annual return on its investment portfolio. The LP (in standard form) that will enable the bank to meet this goal is a car loan portfolio that has a 12% ROI.
  • #1
Dr Zoidburg
39
0
I've got this question to do:
A bank is attempting to determine where its assets should be invested during the current
year. At present $500 million is available for investment in bonds, home loans, car loans,
and personal loans. The annual rate of return on each type of investment is known to be:
bonds, 7%; home loans, 8%; car loans, 12%; personal loans, 11%. In order to ensure that
the bank’s portfolio is not too risky, the bank’s investment manager has placed the
following three restrictions on the bank’s portfolio:
(a) The amount invested in personal loans cannot exceed the amount invested in bonds.
(b) The amount invested in home loans cannot exceed the amount invested in car loans.
(c) No more than 25% of the total amount invested may be in personal loans.
The bank’s objective is to maximize the annual return on its investment portfolio.
Formulate an LP (in standard form) that will enable the bank to meet this goal. Assume
interest is calculated annually.

Pretty straight forward I think. I did this:
Let:
B = Bonds
H = Home Loans
C = Car Loans
P = Personal Loans
Maximise
Z = 0.07B + 0.08H + 0.12C + 0.11P
Subject to:
P <=B
H <=C
P <= 125 Million
B,H,C,P >=0
B+H+C+P <= 500 Million

However, using the constraints as they are, intuitively - and supported by excel solver - the best way to maximise profits is to put everything into car loans (at 12% ROI). Am I right, or did I miss something?
I ask because it just seems too easy to lump it all into car loans, and it hardly matches the goal of minimising risk by spreading the loans.
 
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  • #2
Dr Zoidburg said:
However, using the constraints as they are, intuitively - and supported by excel solver - the best way to maximise profits is to put everything into car loans (at 12% ROI). Am I right, or did I miss something?
I ask because it just seems too easy to lump it all into car loans, and it hardly matches the goal of minimising risk by spreading the loans.

Based on the constraints, that seems like the right answer. It doesn't actually minimize risk by diversifying, but it satisfies the constraints that the problem defines as the ones chosen to minimize risk.

The problem would be more interesting if, say, personal loans had the highest yield instead of car loans. Then things would be more interesting because you have two upper bounds on P, whereas you only have the one lower bound on C.
 
  • #3
Also, for c), instead of
P <= 125 Million
you may want
P <= .25*(B+H+C+P)

Turns out not to matter for this case though.
 
  • #4
Hi, I'm just about to sign on my first home loan but want to know how close to good faith estimate will my loan be. I don't want to pay much more than what I was quoted. The loan agent at the mortgage company (referred by builder) has told me that the good faith estimate is a breakdown of what I can expect but he estimates it will be a bit lower. I don't want to lose my earnest money and money for upgrades if at closing it looks wrong. Please help me positively.
 

1. What is linear programming?

Linear programming is a mathematical technique used to optimize a given objective function, subject to a set of linear constraints. It is often used in operations research, economics, and engineering to find the best possible solution to a problem.

2. How does linear programming apply to bank asset management?

In the context of bank asset management, linear programming can be used to determine the optimal allocation of a bank's assets. This involves balancing the risk and returns associated with various investment options to maximize the bank's overall profit.

3. What are the key components of a linear programming model for bank assets?

A linear programming model for bank assets typically includes an objective function, decision variables, and a set of constraints. The objective function represents the bank's goal, the decision variables represent the allocation of assets, and the constraints represent limitations or requirements on the assets.

4. What are the benefits of using linear programming for bank asset management?

Linear programming allows banks to make data-driven decisions and find the optimal solution for asset allocation. It also helps to minimize risk and maximize profits by considering various factors such as interest rates, market conditions, and investment options.

5. What are some limitations of linear programming in managing bank assets?

While linear programming is a powerful tool, it does have some limitations when it comes to managing bank assets. For example, it assumes that the relationships between variables are linear, which may not always be the case in real-world situations. Additionally, linear programming models can become complex and difficult to solve when there are a large number of constraints and variables involved.

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