I am currently analyzing time series data relating to financial observations (revenue and number of deposits in particular). I would like to smoothen the data because a lot of outliers are present.
Which is the most suitable smoothing filter in this case? I have read about Spencer's 15 point moving average, Henderson's moving average, exponential smoothing and a number of other techniques but I am not sure which would be best to stabilize the data.