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application of real options valuation to r&d investments in ...

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t: years <strong>to</strong> expirationr: annual risk-free rate <strong>of</strong> returnv: standard deviation per year <strong>of</strong> rate <strong>of</strong> return on s<strong>to</strong>ck2.3.5 Compound OptionIn the <strong>real</strong> world, <strong>real</strong> <strong>options</strong> are <strong>of</strong>ten compound <strong>options</strong>. Also known as option onoption, a compound option is like a standard option, but its underly<strong>in</strong>g asset is antherstandard option. And the values <strong>of</strong> compound <strong>options</strong> are extremely sensitive <strong>to</strong> thevolatility <strong>of</strong> volatility. The <strong>valuation</strong> <strong>of</strong> compound option is first analysed <strong>of</strong> Analyticformulas by Geske (1979), and then by Hodges and Selby (1987) and Rub<strong>in</strong>ste<strong>in</strong>(1991). A compound option can be simultaneous, or sequential.There are four types <strong>of</strong> compound <strong>options</strong>: Call on a call, Put on a call, Call on a putand Put on a put. And the third type, a call on a put, gives the holder the right <strong>to</strong> buy aput option. In this case, on the first exercise date, the holder <strong>of</strong> the compound optionis allowed <strong>to</strong> pay the first strike price and receive a put option. The put option givesthe holder the right <strong>to</strong> sell the underly<strong>in</strong>g asset for the second strike price on thesecond exercise date.Consider under a Black-Scholes environment (that is: the underly<strong>in</strong>g asset is follow alognormal random walk, the risk-free <strong>in</strong>terest rate is used as the discount rate and theunderly<strong>in</strong>g asset price is expected <strong>to</strong> appreciate at the same risk-free rate, and allow arisk-neutral <strong>valuation</strong>.2.3.6 Monte Carlo SimulationMonte-Carlo simulation is also known simply as simulation. Suppose we know how<strong>to</strong> value a derivative if only we knew the cash flows, and we know the cash flows arerandom while we have a model for the random effects. Then these components can beput <strong>to</strong>gether <strong>to</strong> create a <strong>valuation</strong> method.Page | 23

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