Transcript Slide 1

REAL OPTIONS AND EVALUATION OF REAL
OPTIONS
TURKISH CAPITAL MARKET BOARD PROGRAM
NAMIK K. AYENGIN
04.18.2003
A NEW KIND OF OPERATIVE INSTRUMENT:REAL
OPTIONS
• In very competitive market environment,
managers of the firms have to do their best efforts
to satisfy their shareholders. So the managers
have used new financial and operative
instruments like derivatives, takeovers and real
options. Real options actually are operative
instruments rather than financial instruments,
dealing with actual investment decisions and
giving the managers more flexibility
MAJOR CHARACTERISTIC OF INVESTMENT
• Irreversiblity: Investments partially or
completely irreversible that means the initial
cost of investment partially sunk at least.
• Uncertainty : Because of the uncertainties and
risks in the economic environment, the
outcomes of investments can not be estimated
in the initial stages.
• Timing: Some timing considerations also come
with the investment decisions, management may
prefer maximize to information about uncertain
conditions as much as they can do.
The Real Option Approach
• The main idea is keeping ways open and
having high flexibility.
• Superior of NPV approach.
• Deal with uncertainty and risk.
WHAT IS AN OPTION? A REAL OPTION? OPTIONS
ANALYSIS?
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Options
In general, Options are rights to exercise but not an
obligation
The main element of an option is that the cost of
exercising the option
Because of giving flexibility, an option has value.
In the financial markets, options are mostly standard
contracts. In their basic form, they specify the price at
which the holder of the option can buy or sell some
asset, such as a stock, some commodity, or foreign
exchange.
Real Options
• “Real options deal with physical
things rather than financial contracts.
They provide “rights, not obligations”
to to control and manage uncertain
economic environment. In general it
could be said that all elements of a
structure providing flexibility is
considered as “real options”.
SOME EXAMPLES OF REAL
OPTIONS
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R&D in production and marketing
Increase or decrease in scale of operations
Timing to invest
Switching to a different production
technology or market
• Temporary shut-down
• Abandonment
SOME EXAMPLES APPLICATIONMEANING
• Setting up a power plant that allow to use 2 kind of fuel .
So dual-fuel power plant that can use either oil or gas
give the operators to use the more economic fuel as a
input , although this kind of facility is much more costly
for investment .
• Using updatable computer systems so limited cost of
new technologies.
• Research and development efforts give the
management some proper ways to go in the future, for
example having the patents of products that are not
attractive now but in the future. That is why some
companies have been interested in new patents even
though they are not using them in production.
Options Analysis
• Options analysis have the methods for
calculating the value of of “real options”
that provide flexibility. They estimate the
expected value of the asymmetrical
distribution
of
possible
outcomes
associated with options. The result of an
options analysis is a value for a particular
option or element of a system.
Real Option Approach Has At Least Three Basic
Distinct Phases:
• Discovery, in this phase, managers identify the areas
where the most attractive opportunities of uncertainty are
and which of them may potentially offer the greatest
rewards from options;
• Selection, In this phase, managers evaluate how to
reach the possible means of providing flexibility to
applications, and decide on which of these options
should be implemented; and
• Monitoring, In the last phase, the managers should
focus on the uncertainties that are weather in consistent
with predictions or not. So that the decision makers will
know when to implement or abandon the options that
were built into the system.
VALUE –ADDED BY REAL
OPTIONS
Real options analysis gives to managers the power of
estimation of the value of operation flexibility. Because
of not availability of flexibility evaluation, the manager
have not been able to think about the value of flexibility.
So improvements in management science managers
can easily discover much greater value in:
• Development activities, and
• Flexibility in timing.Subject to enforcement action
PURPOSE OF USING REAL
OPTION ANALYSIS
Using real options analysis,
managers can now calculate the
value of such actions, compare
them to their cost and compare to
a firm rationale for justifying or
rejecting them.
HISTORY OF REAL OPTIONS
• In the last decade many of leading global
technological companies have been beginning
to use real options to improve proper strategies
about technology management, innovation and
system development.
The Binomial Option Pricing Model
Let us say we have an option to purchase
land next year at a price of $50 per hectare,
which is also the current price of the land.
However, next year the price may go up to
$60 a hectare with an 85% probability, or
may fall to $40 per hectare with a 15%
probability. The riskless rate of return is
10%.
Land
60
50
40
110
Bond (rF=10%)
100
110
Call Option (X=50)
10
C
0
• The expected rate of return on the land is 14%,
and the standard deviation of returns is also
14%
• If we discounted the expected cash flows of the
call at 14%, we would get a price of $7.46, and a
standard deviation of returns of 48%. Because it
is riskier, the call should intuitively have a higher
rate of return. We should thus have a lower
price and higher expected return for the call.
Solution by replicating the
option
 Suppose we buy 1/2 hectare of land, and
borrow $18.18.
The net cost today is 25-18.18=$6.82
The debt repayment next year is
18.18(1.1)=$20
Our 1/2 hectare of land will be worth either
30 or 20, so the total payoff will be either
$10 or $0
10
6.82
0
Since the payoff is identical to the payoff on the call option, we
conclude C=6.82
N60 – B(1+0.1) = 10
N40 – B(1+0.1) = 0
=> N = ½
=> B = 18.18
Observe that the expected return on the call is now 24.6%,
which is higher than the expected return on the stock due to
the greater risk.
Note that we did not use the probabilities of the up and down
state at all in calculating the price.
Solve by risk-neutral probabilities
• Conceptual leap: instead of thinking of a world where
people require compensation for risk through higher
discount rates, we think of everyone using the risk-free
rate of return to value all cash flows. To compensate for
this monumental assumption, we revise the “subjective”
(true) probabilities of the up and the down states to come
up with “risk-neutral” probabilities for the up and the
down state.
• The risk-neutral probabilities are the revised probabilities
for the up and the down state that exactly compensate
for risk. We will see that they revise the probability of the
up state downward, and the probability of the down state
upward.
• Let q = the risk-neutral probability of the
up-state.
• P(stock) = 50 = [q*60 + (1-q)*40]/1.1
• q=.75
• We can now value the option directly by
using the risk-neutral probabilities:
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P(call)=[.75*10+.25*0]/1.1
• P(call)=6.82
• Note that this is the same answer we
previously derived by arbitrage.
Example:
• You bought a 100-share call contract three
weeks ago. It expires five weeks from
today. On that date, the price will either be
$120 or $95. The two states are equally
likely to occur. Currently, P(stock)=$96.
X=$112. You can borrow money at 10%
annually. What is the value of the call
contract?
Standard method
• Replicate the cash flows of the call contract with
a portfolio of stock and borrowing.
• Payoff(Call contract) = 100(120-112) = 800 if up
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= 100*0
if down
• Now calculate the payoffs of a portfolio of N
stocks and borrowing B dollars.
• Use an interest rate of (1.1)5/52-1=.921%:
• Payoff(portfolio)= N*120-B*(1.00921)
if up
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= N*95-B*(1.00921)
if down
• Solve for N & B that replicate the payoffs:
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25*N=800  N=32
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32*95-B*1.00921=0  B=3012.26
• Now calculate the cost of this
portfolio=32*96-3012.26=$59.74. Since
the call contract has the same payoffs, it
must also have the same price.
Method 2: Risk-Neutral Pricing
• Calculate the risk-neutral probabilities that satisfy risk-neutral
pricing for the stock:
• 96 = [q*120 + (1-q)*95]/1.00921
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 1.884 = 25*q  q = .07536
• Now price the call contract using the risk neutral probabilities
• P(call contract)=[.07536*800 + (1-.07536)*0]/1.00921
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=$59.74
• We get the same answer.
Real Option Example
NSP Power is contemplating three choices for
constructing a power plant.
• Build a 24 megawatt (MW) plant for $4000.
• For an extra $75, this power plant can be made
expandable to 44 MW, but this will require an
extra $1100 in costs at the time of expansion.
• For $4500, the power plant can be made so that
it is costless to expand to 44 MW.
• Assume that all output can be sold at the current
market price. The current market price of
$30/MW will move for two years, and then be
constant in perpetuity. The price path below has
been constructed so that price increases by 36%
after an upward move (75% probability) or
decreases by 26% after a downward move (25%
probability). This gives an expected price
increase of 20% and a standard deviation of
returns of 26%.
54.7
40.5
30
30
22.2
16.5
The variable costs of production are $21.25
per MW for the first 24 MW’s and $42.50
per MW for the next 20 MW’s. The
riskless rate is 10%. After t=2, all
uncertainty is resolved, and so cash flows
beyond this point should be discounted at
the risk-free rate. Which plant should NSP
choose, and what is the NPV?
Real Options Example: Solution, Part I
• The first thing to solve for is the riskneutral probabilities of the up and the
down state. Notice that the subjective
(true) probabilities and returns are the
same at all nodes, so we only have to
solve
• This gives p = 58% and 1-p = 42%. We
can then work backward from t=2. We first
analyze the problem for the 24 MW plant,
and then address each of the two
additional options.
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Valuation of 24 MW plant
At t=2, the price is known forever, and we simply
must decide whether to operate or shut down.
Formally, the value at time 2 in each of the three
states is
Max[24*(54.7 – 21.25)*(1+1/0.1),0] = $8831 ==>
operate
Max[24*(30 – 21.25)*(1+1/0.1),0] = $2310 ==>
operate
Max[24*(16.5 – 21.25)*(1+1/0.1),0] = $0 ==>
abandon
The values at t=1 are then
0.58 * 8831  0.42 * 2310
 Max[24 * (40.5  21.25),0]  5538  462  $6000
1.1
0.58 * 2310  0.42 * 0
 Max[24 * (22.2  21.25),0]  1218  23  $1241
1.1
Working backwards we get a value at t=0 of
0.58 * 6000  0.42 * 1241
 $3637
1.1
Note that if we had naively taken a present value, we would have obtained
PV=
.75 * 462  .25 * 23 .75 * .75 * 8831  2 * .75 * .25 * 2310

 $4345
1.2
1.2 * 1.2
Valuation of the Option to Expand
When expansion is costless, the value at time 2
of the option to expand in each state is
• Max[20*(54.7 – 42.5)*(1+1/0.1),0] = $2684 ==>
expand
• Max[20*(30 – 42.5)*(1+1/0.1),0] = $0 ==> don’t
expand
• Max[20*(16.5 – 42.5)*(1+1/0.1),0] = $0 ==> don’t
expand
The values at t=1 are then
0.58 * 2684  0.42 * 0
 Max[20 * (40.5  42.5),0]  1415  0  $1415
1.1
0.58 * 0  0.42 * 0
 Max[20 * (22.2  42.5),0]  $0
1.1
Working backwards we get a value at t=0 of
0.58 * 1415  0.42 * 0
 $746
1.1
If we had naively taken a present value, we would have obtained
PV=
.75 * .75 * 2684
 $1048
1.2 * 1.2
Valuation of the Option to Expand When Expansion
is Costly
If expansion costs $1100, then the option value of
expansion is
 2684  1100 

 * 746  $440
2684


The ordinary DCF value of expansion is then
 2684  1100 

 * 1048  $618
2684


Summarizing the NPV’s of Alternatives
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1. 24 MW Plant
2. Expandable
at Cost of $1100
3. Expandable
Plant
Initial
Cost
$4000
Ordinary
DCF
4345-4000 =$345
$4075
4963-4075 =$888
$4500
5393-4500 = $893
Option
Valuation
3637-4000 = $-363
4077-4075 =$2
4383-4500 =$-117
The difference between ordinary DCF and
real option evaluation method is clear
here. In DCF method analysis the most
attractive number 3 investment, but on the
other hand, by using option valuation
analysis, the most attractive is number 2
investment alternative.
CONCLUSION
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The main concept is keeping open possibilities in
management decision process has made manager think
differently than before.
This new methodology helps the managers to:
Recognize that the value of the projects is integrally
associated with the fluctuations of the market;
Understand that uncertainly is not always a risk to be
avoided, but also presents valuable opportunities that
can be exploited;
Adopt a proactive stance toward risk, looking not just to
respond to it passively, but to manage it proactively
through the use of real options; and
Introduce far more flexibility, justified in terms of its
option value, into the design of systems than has been
the norm.
Although real option is a new instrument, some
primitive forms of real options have already been
in used by Turkish companies. For example
investment timing, when interest rates is
relatively high, companies postpone investment
decision under the expectation of decrease in
the interest rates in the future. But, there are
many areas with high potential for real option
applications in scientific meaning.