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Internal rate of return (IRR) is a method of calculating an investment's rate of return. The term internal refers to the fact that the calculation excludes external factors, such as the risk-free rate, inflation, the cost of capital, or financial risk. The method may be applied either ex-post or ex-ante. Applied ex-ante, the IRR is an estimate ...
The modified internal rate of return (MIRR) is a financial measure of an investment's attractiveness. [ 1 ] [ 2 ] It is used in capital budgeting to rank alternative investments of unequal size. As the name implies, MIRR is a modification of the internal rate of return (IRR) and as such aims to resolve some problems with the IRR.
A backup of an Excel Spreadsheet Add-in (DLL) .xll: Adds custom functionality; written in C++/C, Fortran, etc. and compiled into a special dynamic-link library: Macro .xlm: A macro is created by the user or pre-installed with Excel. Template .xlt: A pre-formatted spreadsheet created by the user or by Microsoft Excel. Module .xlv
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Like the modified Dietz method, the simple Dietz method is based on the assumption of a simple rate of return principle, unlike the internal rate of return method, which applies a compounding principle. Also like the modified Dietz method, it is a money-weighted returns method (as opposed to a time-weighted returns method).
The internal rate of return (IRR) (which is a variety of money-weighted rate of return) is the rate of return which makes the net present value of cash flows zero. It is a solution r {\displaystyle r} satisfying the following equation:
According to Hayley (2013), however, the IRR is a misleading measure of returns for strategies such as VA. These strategies systematically invest less after strong returns than they do after weak returns. This makes the IRR calculation put more weight on earlier returns when they were high and less when they were low.
Spreadsheet modeling is often preferred for early-stage technologies and startups since it tends to offer greater flexibility, accessibility, and transparency. Process simulators, on the other hand, offer more powerful process simulation capabilities, greater standardization, and integrated cost-estimation modules.