Decomposition of Google Trends Series for the Search of Patterns and Seasonality of Financial Risk Control Interest

Abstract

In this paper, it is proposed to use the Google Trends service for the identification of interest in risk control trends through queries in different languages of users in the world and Ukraine for such risk control terms: "risk control", "forensic", "financial investigations" in different languages. The time series formation model was described and analyzed, taking into account the high asymmetry and seasonality of the development of forensic in the regions of Ukraine and the world. Google Trends have sufficient opportunities to determine users' level of interest in major trends in the financial investigations, which allows forming a statistical base for decision making for modeling and further development of this direction. The experimental modeling showed the seasonality for "forensic" and "risk control" popularity trends as well as the determination of the eastern and western in Ukraine in the relation of "forensic".