Microsoft KB Archive/214105

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Description of the algorithm used by the XIRR() function in Excel

Article ID: 214105

Article Last Modified on 1/19/2007



APPLIES TO

  • Microsoft Office Excel 2007
  • Microsoft Office Excel 2003
  • Microsoft Excel 2002 Standard Edition
  • Microsoft Excel 2000 Standard Edition



This article was previously published under Q214105

For a Microsoft Excel 97 and earlier versions of Excel version of this article, see 90728.

SUMMARY

The following information describes the algorithm used by the XIRR() function in Microsoft Excel to compute the internal rate of return on a schedule of cash flows that are not necessarily periodic. That is, payments may be made at different time intervals.

MORE INFORMATION

Excel includes a function that is called XIRR() . This function returns the internal rate of return for a schedule of cash flows that are not necessarily periodic. This function is similar to the IRR() function that returns the internal rate of return for a series of periodic cash flows.

NOTE: If the XIRR() function is not available, you must install the Analysis ToolPak add-in.

With IRR(), all cash flows are discounted using an integer number of compounding periods. For example, the first payment is discounted one period, the second payment two periods, and so on.

The XIRR() function permits payments to occur at unequal time periods. With this function you associate a date with each payment and thereby permit fractional periods (raising or discounting with a fractional power).

The next step is to calculate the correct discounting rate. Basically, the larger the rate, the more the values are reduced.

The XIRR() function sets bounds on the discount rate above and below the correct rate by doubling guesses in each direction. With known upper and lower bounds, the function uses Newton's method to find the appropriate guess to the level of accuracy you want.

The discounting calculation is performed after each iteration.

NOTE: Newton's method is a way to approach the root of an equation (y=f(x)) by using the tangent line to the equation's curve at successive x-values. The new x-value keeps getting closer and closer to the root of the equation until you reach some preset precision.


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