Zhodnocení výkonnosti robo-advisory portfolií v rámci pasivní investiční strategie

Abstract

The thesis evaluates the performance of robo-advisory portfolios within a passive investment strategy on the Czech investment market. It aims to determine whether automated investment platforms represent real added value for investors through higher returns compared to traditional passive investment methods, or whether their benefit lies primarily in facilitating the investment process. To achieve this objective, four robo-advisory platforms were selected and a benchmark representing traditional passive investing was constructed. The portfolios constructed by the selected platforms and the benchmark were backtested over a period of the last 20 years and then predicted the future evolution of the portfolios for the next 5 years. The results of this work indicate the potential of robo-advisory platforms to generate long-term portfolio growth, but also that their use is not necessary when basic passive investing practices are followed. However, they remain an attractive and affordable option for investors seeking simplicity and minimal involvement.