Excel to Analytica Mappings/Financial Functions

CUMIPMT(rate,nper,pv,start_period,end_period,type)

Analytica equivalent:

CumIPmt(rate, nper, pv,start_per,end_per,type)

CUMPRINC(rate,nper,pv,start_period,end_period,type)

Analytica equivalent:

CumPrinc(rate,nper,pv,start_per,end_per,type)

FV(rate,nper,pmt,pv,type)

Analytica equivalent:

Fv(rate,nper,pmt,pv,type)

FVSCHEDULE(principal,schedule)

This computes the future value of principal after compounding interest according to a time-varying array of interest rates. So when this is used, «schedule» is an array. In Analytica, since «schedule» is an array, it will have an index, say I. The equivalent is then:

principal * Product(1+schedule,I)

IPMT(rate,per,nper,pv,fv,type)

Analytica equivalent:

IPmt(rate,per,nper,pv,fv,type)

IRR(values,guess)

Analytica equivalent:

Irr(values,I,guess)

where I is the index that the internal rate of return is computed over. This index parameter is often the Time index.

ISPMT(rate,per,nper,pv)

The Analytica equivalent is:

-pv*(1-per/nper)*rate

MIRR(values,finance_rate,reinvest_rate

Analytica equivalent (requires Analytica 4.2 or later):

MIrr(values,I,finance_rate,reinvest_rate)

where the array of cash flows, values, is indexed by I.

NPER(rate,pmt,pv,fv,type)

Analytica equivalent:

NPer(rate,pmt,pv,fv,type) 

NPV(rate,value1,value2,...)

Analytica equivalent:

Npv(rate,values,I)

where I is the index that the net present value is computed over. The Time index is often used for this index.

PMT(rate,nper,pv,fv,type)

Analytica equivalent:

Pmt(rate,nper,pv,fv,type)

PPMT(rate,per,nper,pv,fv,type)

Analytica equivalentt:

PPmt(rate,per,nper,pv,fv,type)

PV(rate,nper,pmt,fv,type)

Analytica equivalent:

Pv(rate,nper,pmt,fv,type)

RATE(nper,pmt,pv,fv,type,guess)

Analytica equivalent:

Rate(nper,pmt,pv,fv,type,guess)

XIRR(values,dates,guess)

Analytica equivalent:

XIrr(values,dates,I,guess)

where the index I dimensions both values and dates.

XNPV(rate,values,dates)

Analytica equivalent:

XNpv(rate,values,dates,I)

where the index I dimensions both values and dates.