# exp

Exponential values

`exp` is not recommended. Use `timetable` instead. For more information, see Convert Financial Time Series Objects fints to Timetables.

## Syntax

``newfts = exp(tsobj)``

## Description

example

````newfts = exp(tsobj)` calculates the natural exponential (base e) of all the data in the data series of the financial time series object `tsobj` and returns the result in the object `newfts`.```

## Examples

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1. Create a `fints` object.

`dates_and_times = (now:now+5)'`
```dates_and_times = 1.0e+05 * 7.3840 7.3840 7.3840 7.3841 7.3841 7.3841 ```
` tsobj = fints(dates_and_times, randn(6,1))`
```Warning: FINTS is not recommended. Use TIMETABLE instead. For more information, see Convert Financial Time Series Objects (fints) to Timetables. > In fints (line 169) ```
```tsobj = desc: (none) freq: Unknown (0) {'dates: (6)'} {'times: (6)'} {'series1: (6)'} {'07-Sep-2021'} {'12:30' } {[ 0.5377]} {'08-Sep-2021'} {'12:30' } {[ 1.8339]} {'09-Sep-2021'} {'12:30' } {[ -2.2588]} {'10-Sep-2021'} {'12:30' } {[ 0.8622]} {'11-Sep-2021'} {'12:30' } {[ 0.3188]} {'12-Sep-2021'} {'12:30' } {[ -1.3077]}```
2. Calculate exponential values using `exp`.

`newfts = exp(tsobj)`
```Warning: FINTS is not recommended. Use TIMETABLE instead. For more information, see Convert Financial Time Series Objects (fints) to Timetables. > In fints/exp (line 17) newfts = desc: EXP of freq: Unknown (0) {'dates: (6)'} {'times: (6)'} {'series1: (6)'} {'03-Sep-2021'} {'17:10' } {[ 4.1343]} {'04-Sep-2021'} {'17:10' } {[ 1.3385]} {'05-Sep-2021'} {'17:10' } {[ 1.2187]} {'06-Sep-2021'} {'17:10' } {[ 4.8925]} {'07-Sep-2021'} {'17:10' } {[ 0.4473]} {'08-Sep-2021'} {'17:10' } {[ 2.0070]}```

## Input Arguments

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Financial time series object, specified as a `fints` object.

Data Types: `object`

## Output Arguments

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Financial time series object, returned as a `fints` object.

## Version History

Introduced before R2006a