EN
The aim of the papers is to study the effect of noise reduction, carried out using the nearest neighbor method, on the identification of chaotic dynamics in the selected time series. The tools used to distinguish chaotic time series from random ones will be the BDS statistic and the correlation dimension The test will be conducted based on the economic time series which consist of closing share prices of companies listed on the Warsaw Stock Exchange and the daily exchange rates.