Abstract: A system, method and computer program product are provided for determining a minimum asset value for exercising a contingent claim of an option. The method may include determining a present value conditional distribution of contingent future benefits attributable to the exercise of a contingent claim, including conditioning a distribution of contingent future benefits on an estimated minimum asset value, and discounting the distribution according to a first discount rate. Similarly, the method may include determining present values of respective exercise prices required to exercise one or more contingent claims, including discounting respective exercise prices according to a second discount rate.

Abstract: A system, method and computer program product are provided for determining a minimum future benefits value for exercising a contingent claim of an option. The method may include determining a present value distribution of contingent future benefits at an expiration exercise point, and present values of respective exercise prices at the expiration exercise point and one or more decision points before that point. Determining these present value distribution and present values may include discounting a distribution and respective values according to first and second discount rates, respectively. The method may also include repeatedly determining, for a plurality of forecasted asset values at a selected decision point, respective values based upon the present value distribution and the present values, where the respective values may be conditioned on the forecasted asset values. A forecasted asset value that maximizes the value may then be selected.

Abstract: Systems, methods and computer program products for determining a learning curve value and modeling an associated profitability of a good are provided. According to one method of determining a learning curve value, recurring costs of producing each unit of the good are modeled as a function of potential learning curve values. Nonrecurring costs of producing each unit of the good are then modeled as a function of potential learning curve values. Next, the learning curve value is determined based upon the recurring costs model and the nonrecurring costs value such that the sum of the recurring costs and nonrecurring costs at the determined learning curve value is minimized over the potential learning curve values.

Abstract: Systems, methods and computer program products for determining a learning curve value and modeling an associated profitability of a good are provided. According to one method of determining a learning curve value, recurring costs of producing each unit of the good are modeled as a function of potential learning curve values. Nonrecurring costs of producing each unit of the good are then modeled as a function of potential learning curve values. Next, the learning curve value is determined based upon the recurring costs model and the nonrecurring costs value such that the sum of the recurring costs and nonrecurring costs at the determined learning curve value is minimized over the potential learning curve values.

Abstract: A systems, methods and computer program products are provided for modeling a monetary measure of a good, such as a cost or revenue associated with the good. A method begins by selecting at least one qualitative measure of maturity for at least one technology associated with the good, where each qualitative measure of maturity is associated with a distribution such that each technology is correspondingly associated with a distribution. Next, a monetary point is associated with each technology, and thereafter a monetary distribution is determined for each technology based upon a respective monetary point and a respective distribution. A plurality of monetary values are selected by randomly selecting the plurality of monetary values for each technology based upon a respective monetary distribution. Finally, the monetary measure for the good are modeled based upon the selected monetary values for each technology.

Abstract: Systems, methods and computer program products for modeling demand, supply and associated profitability of a good. According to one method, a price sensitivity distribution is determined, and then a market potential distribution of a number of units of the good is determined. Next, a forecasted market is selected according to a Monte Carlo method based upon the market potential distribution, where the forecasted market includes a predefined number of units of the good. A demand and/or supply for the good in the forecasted market is then modeled based upon the price sensitivity distribution and the predefined number of units in the forecasted market. By so modeling demand and/or supply, the method can account for uncertainty in a market for the good, as defined by the number of units of the good purchased and the price at which those units are purchased and/or produced.

Abstract: Systems, methods and computer program products for determining a learning curve value and modeling an associated profitability of a good are provided. According to one method of determining a learning curve value, recurring costs of producing each unit of the good are modeled as a function of potential learning curve values. Nonrecurring costs of producing each unit of the good are then modeled as a function of potential learning curve values. Next, the learning curve value is determined based upon the recurring costs model and the nonrecurring costs value such that the sum of the recurring costs and nonrecurring costs at the determined learning curve value is minimized over the potential learning curve values.

Abstract: A method includes providing a plurality of component modules in a spreadsheet environment. Each component module is capable of modeling a portion of an event and includes at least one process. Each component module can be accessed independent of the other component modules, and at least one component module includes at least one input and at least one component module includes at least one output. The inputs and the outputs can be linked to thereby model the event. Thereafter, the processes of the component modules can be performed to simulate the event.

Abstract: Systems, methods and computer program products for performing a valuation of a contingent claim are provided that initially determine the present value distribution of contingent future benefits that is attributable to the exercise of a contingent claim. In this regard, the distribution of contingent future benefits is discounted according to a first discount rate, such as the weighted average cost of capital. The present value of a contingent future investment required to exercise the contingent claim is also determined based upon another appropriate discount rate, such as a risk-free rate of discounting. An average of the difference between the present value distribution of contingent future benefits and the present value of the contingent future investment is determined. By utilizing appropriate discount rates, the benefits and investment can be effectively valued, which, in turn, permits the contingent claim project to be effectively valued in an intuitive manner.

Abstract: A systems, methods and computer program products are provided for modeling a monetary measure of a good, such as a cost or revenue associated with the good. A method begins by selecting at least one qualitative measure of maturity for at least one technology associated with the good, where each qualitative measure of maturity is associated with a distribution such that each technology is correspondingly associated with a distribution. Next, a monetary point is associated with each technology, and thereafter a monetary distribution is determined for each technology based upon a respective monetary point and a respective distribution. A plurality of monetary values are selected by randomly selecting the plurality of monetary values for each technology based upon a respective monetary distribution. Finally, the monetary measure for the good are modeled based upon the selected monetary values for each technology.

Abstract: Systems, methods and computer program products for determining a learning curve value and modeling an associated profitability of a good are provided. According to one method of determining a learning curve value, recurring costs of producing each unit of the good are modeled as a function of potential learning curve values. Nonrecurring costs of producing each unit of the good are then modeled as a function of potential learning curve values. Next, the learning curve value is determined based upon the recurring costs model and the nonrecurring costs value such that the sum of the recurring costs and nonrecurring costs at the determined learning curve value is minimized over the potential learning curve values.

Abstract: Systems, methods and computer program products for modeling demand, supply and associated profitability of a good. According to one method, a price sensitivity distribution is determined, and then a market potential distribution of a number of units of the good is determined. Next, a forecasted market is selected according to a Monte Carlo method based upon the market potential distribution, where the forecasted market includes a predefined number of units of the good. A demand and/or supply for the good in the forecasted market is then modeled based upon the price sensitivity distribution and the predefined number of units in the forecasted market. By so modeling demand and/or supply, the method can account for uncertainty in a market for the good, as defined by the number of units of the good purchased and the price at which those units are purchased and/or produced.

Abstract: Systems, methods and computer program products are provided for modeling future benefits. According to the method, modeling future benefits begins by defining a growth rate for the good for each time segment of a period of time, where the period of time includes a plurality of time segments. An uncertainty for the good is then determined for each time segment. Next, a benefit distribution is determined at an end of each time segment based upon the growth rate and uncertainty for the respective time segment. Finally, a benefit value is selected at the end of each time segment by randomly selecting each benefit value based upon a respective benefit distribution to thereby model future benefits over the period of time. The method therefore allows the growth rate and/or the uncertainty to very between time segments. The method can also account for contingencies at the end of previous time segments.

Abstract: Systems, methods and computer program products for performing a valuation of a contingent claim, such as a call or a put, are provided that initially determine the present value distribution of contingent future benefits that is attributable to the exercise of a contingent claim, such as according to a jump-diffusion model. The present value of an exercise price, such as a distribution of contingent future investments of a distribution of contingent future investments, required to exercise the contingent claim is also determined. An average of the difference between the present value distribution of contingent future benefits and the present value of the contingent future investment is determined. By utilizing appropriate discount rates, the benefits and investment can be effectively valued, which, in turn, permits the contingent claim project to be effectively valued in an intuitive manner.

Abstract: Systems, methods and computer program products for performing a valuation of a contingent claim are provided that initially determine the present value distribution of contingent future benefits that is attributable to the exercise of a contingent claim. In this regard, the distribution of contingent future benefits is discounted according to a first discount rate, such as the weighted average cost of capital. The present value of a contingent future investment required to exercise the contingent claim is also determined based upon another appropriate discount rate, such as a risk-free rate of discounting. An average of the difference between the present value distribution of contingent future benefits and the present value of the contingent future investment is determined. By utilizing appropriate discount rates, the benefits and investment can be effectively valued, which, in turn, permits the contingent claim project to be effectively valued in an intuitive manner.