##### Modelling Seasonality
Forecasting revenues that vary seasonally
Seasonality in Business Functions is where you want an amount disbursed pretty evenly, but you want to be able to specify certain times of the year where the rate is higher. In particular:
• You want to specify a yearly rate.
• You want that rate to vary seasonally throughout the year.

Business Functions facilitates the modelling of seasonality with functions that have the "?S" suffix, like ConS and UniSpreadS, derived from Con and UniSpread respectively.

Two additional variables are used to model seasonality, SeasonFactors and SeasonSeq, although you only need to use SeasonFactors.

There are basically two methods of modelling seasonality:

1. Evenly spaced seasonality just using SeasonFactors

Here, you just input a list of factors, or weights (that needn"t add up to one or any particular number), and the rate is adjusted accordingly. If you input 12 factors, these are treated as calendar monthly factors starting at January. If you input 4 factors, they are treated as quarters. You can even specify 3 factors and have them treated as "thirds" of a year if you want. This method is easy and great if you want your factors applied to evenly time-spaced weighting periods. If you want to use this method, either stop your inputs after the SeasonFactors argument, or if you need to specify DayCount or Periods, just leave a blank between the commas in the functions argument list. See Optional Parameters.

2. Specified, or unevenly spaced seasonality using both SeasonFactors and SeasonSeq

Here you specify both a list of factors and a list of annual dates in the SeasonSeq variable. The latter dates are annual sequence dates in the form mm.dd, e.g. {1.01,7.01}, such as are used in the Periods and CashBasis variables. The seasonal factors apply from the sequence date. So the first sequence date must be "1.01" (1st January) otherwise the function will return an error.

Using both variables allows you to so things like "150% of the rate between 15 May and 21 August", which would be expressed as SeasonFactors={1,1.5,1} and SeasonSeq={1.01,5.15,8.21}.