Abstract: A method for estimating future cash flows of an investment instrument (or portfolio of investment instruments) is performed by simulating past performance (i.e., cash flows) similar instruments based on actual data of past performance, using the simulated past performance to generate a distribution of possible future performance outcomes of the investment instrument, and using the distribution of possible future performance outcomes to make estimates of the expected cash flow from the investment instrument. In one embodiment, cash flow time series of private equity funds (J-curves) are simulated for fully-liquidated vintage years by scaling an aggregate net cash flow time series from a plurality of fully liquidated funds for that vintage year. The time series is scaled by scalar coefficients calculated based on statistics of the four parameters, internal rate of return, money multiple, depth of curve, and speed to depth, of the aggregated vintage fund J-curves.

Abstract: A method for estimating future cash flows of an investment instrument (or portfolio of investment instruments) is performed by simulating past performance (i.e., cash flows similar instruments based on actual data of past performance, using the simulated past performance to generate a distribution of possible future performance outcomes of the investment instrument, and using the distribution of possible future performance outcomes to make estimates of the expected cash flow from the investment instrument. In one embodiment, cash flow time series of private equity funds (J-curves) are simulated for fully-liquidated vintage years by scaling an aggregate net cash flow time series from a plurality of fully liquidated funds for that vintage year. The time series is scaled by scalar coefficients calculated based on statistics of the four parameters, internal rate of return, money multiple, depth of curve, and speed to depth, of the aggregated vintage fund J-curves.