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Real options valuation, also often termed real options analysis, [1] (ROV or ROA) applies option valuation techniques to capital budgeting decisions. [2] A real option itself, is the right—but not the obligation—to undertake certain business initiatives, such as deferring, abandoning, expanding, staging, or contracting a capital investment project. [3]
Fig. 1 Typical project cash flow with uncertainty. The mathematical equation for the DM Method is shown below. The method captures the real option value by discounting the distribution of operating profits at R, the market risk rate, and discounting the distribution of the discretionary investment at r, risk-free rate, before the expected payoff is calculated.
See Asset pricing for a listing of the various models here. As regards (2), the implementation, the most common approaches are: Closed form, analytic models: the most basic of these are the Black–Scholes formula and the Black model. Lattice models (Trees): Binomial options pricing model; Trinomial tree; Monte Carlo methods for option pricing
The first application to option pricing was by Phelim Boyle in 1977 (for European options). In 1996, M. Broadie and P. Glasserman showed how to price Asian options by Monte Carlo. An important development was the introduction in 1996 by Carriere of Monte Carlo methods for options with early exercise features.
[12] [13] [14] Robert C. Merton was the first to publish a paper expanding the mathematical understanding of the options pricing model, and coined the term "Black–Scholes options pricing model". The formula led to a boom in options trading and provided mathematical legitimacy to the activities of the Chicago Board Options Exchange and other ...
To use these models, traders input information such as the stock price, strike price, time to expiration, interest rate and volatility to calculate an option’s theoretical price. To find implied ...