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In this document description about Rate of Return Analysis,Rate of Return,Solution,Assumptions and Difficulties with ROR analysis
Typology: Lecture notes
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Rate of return (ROR) is the rate paid on the unpaid
balance of borrowed money, or the rate earned on
the unrecovered balance of an investment, so that
the final payment or receipt brings the balance to
exactly zero with interest considered.
In ROR problems you are trying to find an unknown
interest rate (i*) that satisfies the following:
PWi(+ cash flows) – PWi( - cash flows) = 0
This means that the interest rate (i*) is an unknown
parameter.
An engineer for a company constructing one of the
world’s tallest buildings (Shanghai Financial Center
in the Peoples’ Republic of China) has requested
that $500,000 be spent now during construction on
software and hardware to improve the efficiency of
the environmental control systems. This is expected
to save $10,000 per year for 10 years in energy
costs and $700,000 at the end of 10 years in
equipment refurbishment costs. Find the ROR.
Use the trial-and-error procedure based on a PW equation.
0 = - 500,000 + 10,000 ( P/A , i *,10) + 700,000 ( P/F , i *,10) [7.5]
Use the estimation procedure to determine i for the first trial. All income will be
regarded as a single F in year 10 so that the P/F factor can be used. The P/F factor is
selected because most of the cash flow ($700,000) already fits this factor and errors
created by neglecting the time value of the remaining money will be minimized. Only
for the first estimate of i , define
P = $500,000, n = 10, and F = 10(10,000) + 700,000 = $800,000.
PWi(+ cash flows) – PWi( - cash flows) = 0
Year Amount Trial i PW value
0 -$500,000 4.00% $54,
1 $10,000 4.20% $44,
2 $10,000 4.40% $34,
3 $10,000 4.60% $25,
4 $10,000 4.80% $15,
5 $10,000 5.00% $6,
6 $10,000 5.20% -$1,
7 $10,000 5.40% -$10,
8 $10,000 5.60% -$19,
9 $10,000 5.80% -$27,
10 $710,000 6.00% -$35,
ROR =
5.16%
Solution
Use AW computations to find the ROR for the cash flows in Example 7.2.
The AW relations for disbursements (AW
D
) and receipts (AW
R
) are formulated using
Equation [7.2].
D
R
Trial-and-error solution yields these results:
At i = 5%, 0 < $
At i = 6%, 0 > - $
By interpolation, i * = 5.16%, as before.
So far we have dealt with conventional (or simple) cash flow series. The algebraic signs on
the net cash flows changed only once, usually from minus in year 0 to plus at some time
during the series.
However, for many series the net cash flows switch between positive and negative from one
year to another, so there is more than one sign change. Such a series is called
nonconventional (nonsimple).
When there is more than one sign change in the net cash flows, it is possible that there will
be multiple i * values in the - 100% to plus infinity range.
There are two tests to perform in sequence on the nonconventional series to
determine if there is one unique or multiple i * values that are real numbers. The first
test is the (Descartes’) rule of signs states that the total number of real-number roots
is always less than or equal to the number of sign changes in the series. This rule is
derived from the fact that the relation set up by Equation [7.1] or [7.2] to find i * is an
n th-order polynomial.
(It is possible that imaginary values or infinity may also satisfy the equation.) The
second and more discriminating test determines if there is one, real number, positive
i * value. This is the cumulative cash flow sign test, also known as Norstrom’s
criterion_._ It states that only one sign change in the series of cumulative cash flows
which starts negatively, indicates that there is one positive root to the polynomial
relation. To perform this test, determine the series
t
Observe the sign of S 0 and count the sign changes in the series S
0
1
n
. Only
if S 0
0 and signs change one time in the series is there a single, real number,
positive i *.
0
(b) The PW relation is:
PW = 2000 – 500 ( P/F , i ,1) – 8100 ( P/F , i , 2) + 6800( P/F , i , 3)
Select values of i to find the two i * values, and plot PW vs. i. The PW values are shown
below and plotted in Figure 7–5 for i values of 0, 5, 10, 20, 30, 40, and 50%.
The characteristic parabolic shape for a second-degree polynomial is obtained, with PW
crossing the i axis at approximately i
1
i
2