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Forecasting Value-at-Risk and Expected Shortfall Using Fractionally Integrated Models of Conditional Volatility : International Evidence

Degiannakis, Stavros Antonios - 2018

The present study compares the performance of the long memory FIGARCH model, with that of the short memory GARCH specification, in the forecasting of multi-period Value-at-Risk (VaR) and Expected Shortfall (ES) across 20 stock indices worldwide. The dataset is comprised of daily data covering...

Persistent link: https://www.econbiz.de/10012910119

Value-at-risk and expected shortfall when there is long range dependence

Härdle, Wolfgang (contributor); Mungo, Julius (contributor) - 2008

portfolio (Bayer, Siemens and Volkswagen). Classical V aR estimation methodology such as exponential moving average (EMA) as …

Persistent link: https://www.econbiz.de/10003636008

Die parametrische und semiparametrische Analyse von Finanzzeitreihen : Neue Methoden, Modelle und Anwendungsmöglichkeiten

Peitz, Christian - 2016 - 1. Aufl. 2016

Semiparametrische Volatilitätsmodelle -- Hochfrequente und Ultra-Hochfrequente Finanzdaten -- Berechnung des Value-at-Risk auf Grundlage parametrischer und semiparametrischer Modelle -- Analyse von Handelswartezeiten -- Glättung der Volatilität von hochfrequenten Finanzdaten in einem...