Nothing

```
#' Calculates the effective maturity based on the specified regulatory framework
#' @title Calculates the Effective Maturity
#' @param trades The full list of the Trade Objects
#' @param framework Specifies the regulatory framework used in the calculations. It can take the values of 'IMM', 'CEM', 'SA-CCR'
#' @param simulated_exposure The exposure profile list containing the EE, EEE etc
#' @param time_points The timepoints that the analysis is performed on
#' @return The effective maturity of the trade set
#' @export
#' @author Tasos Grivas <[email protected]@openriskcalculator.com>
#'
calcEffectiveMaturity = function(trades, time_points, framework, simulated_exposure)
{
if(framework == "IMM")
{
effective_maturity = max(1,min( sum(simulated_exposure[time_points>1]*diff(time_points[time_points>=1]))/sum(simulated_exposure[time_points<1]*diff(time_points[time_points<=1])),5))
}
else
{
Notional_vector = as.numeric(lapply(trades, function(x) x$Notional))
if(framework == "SA-CCR")
{
adj_notional_vector = as.numeric(lapply(trades, function(x) x$CalcAdjNotional()))
effective_maturity = max(1, min(sum(adj_notional_vector)/sum(Notional_vector),5))
}
else if(framework == "CEM")
{
Maturity_vector = as.numeric(lapply(trades, function(x) x$Ei))
effective_maturity = max(1, min(5,sum(Notional_vector*Maturity_vector)/sum(Notional_vector)))
}
}
return(effective_maturity)
}
```

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