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Flexible Design of Airport System Using Real Options Analysis - MIT

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12/14/2007<br />

1.231 Planning and <strong>Design</strong> <strong>of</strong> <strong>Airport</strong> <strong>System</strong> Dai Ohama<br />

As introduced in section 3.1, there are three types <strong>of</strong> evaluation method in financial<br />

options, and these are also applied to real options analysis. Black-Scholes option pricing<br />

model and Binomial Lattice Model are widely used in financial options, but because they are<br />

very complex and needs financial skills, they are not so widely used in real options in<br />

engineering practice as in financial field. [7] Even if those methods are used appropriately,<br />

it is very difficult to explain to those managers who are not familiar with financial skills. [7]<br />

On the other hand, Monte Calro Simulation can be used more easily by using spread sheet<br />

than those two methods. Compared to conventional methods using financial mathematics,<br />

real options analysis using Monte Calro Simulation has advantages such as user friendly<br />

procedure, being based on data availability in practice, and being easy to explain graphically.<br />

[7] Thus real options analysis based on Monte Calro Simulation can be the appropriate as a<br />

tool for the valuation method for this case study.<br />

3.3.2 <strong>Real</strong> <strong>Options</strong> <strong>Analysis</strong> <strong>Using</strong> Monte Calro Simulation<br />

In this case study, real options analysis using Monte Calro Simulation method is used<br />

and its procedure is: 1) to estimate cash flows pro forma including capital investment, future<br />

costs and revenues <strong>of</strong> the project, and calculate the economic value <strong>of</strong> currently designed<br />

case, 2) to explore the effects <strong>of</strong> uncertainty by simulating possible scenarios, each <strong>of</strong> which<br />

leads to a various NPVs, and the collection <strong>of</strong> each scenario generate both an “expected net<br />

present value” (ENPV) and the distribution <strong>of</strong> possible outcomes for a project by<br />

demonstrating cumulative distribution functions, and 3) to explore ways to avoid the<br />

downside risk and take advantage <strong>of</strong> upside potential by exercising options. [7]<br />

4. <strong>Analysis</strong> <strong>of</strong> Case - Tokyo Int’l <strong>Airport</strong> New Runway Extension Project<br />

4.1 <strong>Analysis</strong> Condition<br />

In order to conduct real options analysis, it is necessary to set up analysis conditions<br />

such as cash flow pro forma including capital investment, revenue scheme, operating and<br />

maintenance costs.<br />

In this case study, three types <strong>of</strong> design should be considered. Case A refers to the<br />

Term Project: <strong>Flexible</strong> <strong>Design</strong> <strong>of</strong> <strong>Airport</strong> <strong>System</strong> Page 11 <strong>of</strong> 22

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