Mathematical modeling and forecasting of the volatility of financial processes

Abstract

In the qualifying work, an overview of financial market forecasting models under conditions of stochastic uncertainty was carried out; different GARCH and EGARCH family models for forecasting the volatility and conditional volatility of the stock market are investigated. Volatility forecasting was carried out on stock index indicators and implemented in the Python language.