Solutions to sample MIDTERM 2
1
a) Applying the SML equation:
.11132 = Rf + 1.04 [.108 - Rf ]
=> Rf (1 - 1.04) = .11132 -
1.04*0.108
=>
Rf = (-.001)/(-0.04) = 2.5%
b) Risk premium for the
market portfolio = E(Rm) - Rf = .108 - .025 = 8.3%
c) Risk premium for the stock= E(Ri) - Rf =
.11132 - .025 = 8.632%
d) The extra return on the market
is -.02 - .108 = -128%. The extra return on the stock will be 1.04 *
(-.128) = -13.312%. This means the ex-post E(R) for the stock
= .11132 - .13312 = -2.18%
Abnormal return = actual return - ex-post expected return = .0333 - (-0.0218) = 5.51%
2
a) Regardless of what other
information is given, we use the yield on 3-month t-bills for the short-term
riskfree rate.
Ri = short-term Rf
today + beta * [avg. historical stock return - avg. historical short-term Rf]
= 3-month t-bill
yld today + beta * [avg. historical stock return - avg. historical return
on 3-month t-bills]
= .0185 +
0.88*(0.1218 - 0.0392) = 9.1188%
b)
There
isn't an equally strong convention governing which t-bond should be used for the
long-term riskfree rate, but we stick with using 20-year t-bonds (regardless
of what other information is given).
Ri = long-term Rf
today + beta * [avg. historical stock return - avg. historical long-term Rf]
long-term Rf today =
20-year t-bond yld today - avg. risk premium for 20-year t-bond = .0552 -
(.0577-.0392) = 3.67%
avg. historical long-term Rf
= avg. historical short-term Rf = .0392
=> Ri = .0367 +
0.88*(0.1218 - 0.0392) = 10.9388%
3 a) Take the equity beta, and unlever to get the asset beta:
ba = (D/V) bd + (E/V) be = 0.25*0.11 + 0.75*0.99 = 0.77
b) Now lever up this asset beta using the new debt-to-value ratio:
If D/V = 0.35, then E/V = 0.65 => D/E = 0.35/0.65
be = ba + (D/E)[ ba - bd] = 0.77 + (0.35/0.65)*(0.77 - 0.18) = 1.0877
4 a) We really have three separate decisions here:
a) whether to make the initial $13,500,000 investment in clinical trials at time 0
b) whether to invest the additional $7,000,000 investment at time 1 if the earlier trials are not successful.
c) whether to make the $650,000,000 investment to launch the product once trials are successful.
SUCCESS /
/ prob 0.35
\ DON'T
/
SUCCESS /
INVEST IN / INVEST IN / prob 0.2 \ DON'T
/ TRIALS TODAY \ / FURTHER TRIALS \
/ \ / AT TIME 1 \ FAILURE => ABANDON
/
\ FAILURE /
prob 0.8
/
prob 0.65
\ ABANDON
DON'T INVEST
Consider first whether it is worth launching the product if the trials succeed:
Expected cashflows each year, starting next year = 45,000,000 | |
Growth rate for cf = 7% | |
PV today of future cashflows = 45,000,000/(.135 - .07) = 692,307,692.31 | |
|
NPV of the investment today = 692,307,692.31 - 650,000,000 = 42,307,692.31 |
=> if the trials succeed, it is worth launching the product
Now consider if it's worth investing in additional trials at time 1:
With a probability of 0.2, you will launch the product at time 2, and generate a time 2 NPV of $42,307,692.31 | |
|
With a probability of 0.8, you abandon the project and end up with zero |
=> the NPV at time 1 of making the additional investment = (0.2*42,307,692.31)/1.135 - 7,000,000 = 455,099.97
=> if the first round of trials do not succeed, you will continue the trials
So is it worth launching the first round of trials today?
With a probability of 0.35, the first round of trials will succeed; you will will launch the product at time 1, and generate a time 1 NPV of $42,307,692.31 | |
With a probability of 0.65, the first round of trials will not succeed. But you will continue the trials and end up with a time 1 NPV of $455,099.97 |
=> the NPV at time 0 of launching the first round of trials = (0.35*42,307,692.31 + 0.65*455,099.97)/1.135 - 13,500,000 = -192,945.12
=> they should not launch the clinical trials.
b) You have the opportunity to buy the information at time 1 if the first round of trials don't succeed. If the information is positive, you will go ahead and invest in the second round of trials at time 1, and continue on to launch the product at time 2 once the trials succeed. If the information is negative, you will abandon the trials (and the project).
On the other hand, if you don't buy the information at time 1, then you will make the same decision as before -- namely invest in the second round of trials, and launch the product if the second round of trials succeed.
SUCCESS /
/ prob 0.35
\ DON'T
/ POSITIVE => CONTINUE WITH 2ND ROUND AT TIME
INVEST IN /
GET INFO
/ prob 0.2
TRIALS TODAY \ / AT TIME 1 \
\ / \ NEGATIVE => ABANDON
\ FAILURE /
prob 0.8
prob
0.65
\ DON'T GET => SAME DECISION AS BEFORE (DO 2ND
INFO ROUND; EARN TIME 1 NPV OF $455,099.97)
If you buy the information at time 1:
with probability of 0.2, the information is positive; you invest $7,000,000 in the trials at time 1 and pick up a time 2 NPV of $42,307,692.31 when you launch the product. | |
|
with a probability of 0.8, the information is negative; you abandon the project and get nothing |
=> the NPV at time 1 of getting the information = 0.2*(42,307,692.31/1.135 - 7,000,00) - 3,500,000 = 2,555,099.97
(We subtract away the time 1 information cost from the expected time 1 "cashflows" resulting from getting the information.)
So when we consider whether to invest in the first round of trials:
|
with a probability of 0.35 you end up with a time 1 NPV (from launching the product) of 42,307,692.31 | |
|
with a probability of 0.65 you end up with a time 1 NPV (from buying the information) of 2,555,099.97 |
=> the NPV at time 0 of investing in the first round of trials = (0.35*42,307,692.31 + 0.65*2,555,099.97)/1.135 - 13,500,000 = $1,009,698.05
=> Clearly, they should buy the information. Buying the information increases the NPV of launching the trials enough to make it positive. So now, Baschaproff should launch the clinical trials.
5 a) First we take each firm's equity beta, and unlever to get the asset beta:
Firm P: ba = (D/V) bd + (E/V) be = (12/40)*0.2 + (28/40)*1.6 = 1.18
Firm Q: ba = (24/48)*0.3 + (24/48)*2.1 = 1.20
Firm R: ba = (30/50)*0.4 + (20/50)*2.25 = 1.14
Then we take the average asset beta = (1.18 + 1.2 + 1.14)/3 = 1.1733
b) Using the asset beta estimated in part a, we lever it up to get the estimated equity beta for firm D:
If D/V = 0.4, then E/V = 0.6 => D/E = 0.4/0.6 = 0.6667
be = ba + (D/E)[ ba - bd] = 1.1733 + 0.6667*(1.1733 - 0.25) = 1.7889
6 a)
Firm-specific news and economy-wide news are both randomly positive or
negative; it’s not clear why one type of news is diversifiable and one is not.
F
b)
A stock whose expected return is less than the riskfree rate will tend to
go down when there is good news about the economy.
T
c)
If a stock has a beta greater than 1,
the stock will tend to fluctuate more than the market when there is good news or
bad news about the economy. T
d)
If the economy is expected to do badly enough, the E(R) for the market
portfolio can sometimes be less than the riskfree return.
F
e) If a
company increases its debt ratio (holding the investment decision constant), its
debt beta will increase. T
The
risk of a firm's shares has two components, business risk and financial
risk. Financial risk increases with debt. So the more debt a firm
has, the riskier its shares.
f)
If short-term interest rates are
expected to increase, the yield on short-term treasuries today > (yield on
long-term treasuries today + average historical difference between the two
yields). F
g)
Positive NPV projects plot to the
left of the SML and negative NPV projects plot to the right.
T
h) If
the variables that are used to compute a project's cashflows are estimated
carefully to begin with, we will not have to worry about errors in the estimated
NPV. F
i)
One problem that arises in the context of capital budgeting is that some
long-term investments (e. g.
R&D expenses) do not show up in the capital budget.
T
j)
If a project has positive NPV despite a high probability
of bankruptcy, stockholders want the project to be accepted; in this situation,
they regard bankruptcy as a calculated risk they are prepared to take.
T The fact that there is a high probability of
bankruptcy is already reflected in the NPV computation. If NPV is positive
regardless, then it is a risk stockholders are prepared to take.
k)
If stock prices increase sharply,
they are then more likely to fall than to go up more. F
l)
Stock prices follow a random walk with drift; the drift comes from the
fact that expected return is positive. T
m) If a market is weak-form
efficient, it must automatically be semi-strong form efficient too.
F
n)
In an efficient market, all securities are zero NPV investments.
T
o) 99% of the time anomalies do not work, but 1% of the time they work and allow you to beat the market. F 99% of the money making rules researchers examine don't work, but those are not called anomalies. "Anomalies" refers only to the 1% that seem to work. So it's wrong to say that 99% of the time anomalies don't work.