Lecture

Quantitative Risk Management: Volatility Modeling

Description

This lecture by the instructor covers the modeling of volatility in quantitative risk management, focusing on topics such as ARMA processes, ARCH and GARCH models, and volatility forecasting. The lecture delves into the properties and causal representation of ARMA processes, the estimation and stationarity of ARCH and GARCH models, and the fitting of these models to data. Additionally, it explores the simulation of ARCH processes, serial correlation, and the use of GARCH processes for risk-factor changes. The lecture concludes with discussions on conditional risk measurement, intraday volatility models like Garman-Klass and Garman-Klass-Yang-Zhang, and rough volatility modeling.

About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.