Modeling asymmetric volatility in the Chicago Board Options Exchange Volatility Index

Artikel

Empirical studies have shown that a large number of financial asset returns exhibit fat tails (leptokurtosis) and are often characterized by volatility clustering and asymmetry. This paper considers the ability of the asymmetric GARCH-type models (TGARCH, EGARCH, APGARCH) to capture the stylized features of volatility in the Chicago Board Options Exchange Volatility Index (VIX). We analyzed daily VIX returns for the period September 26th, 2012 - September 27th, 2017. The results of this paper suggest that in the presence of asymmetric responses to innovations in the market, the EGARCH (1,1) Student-t model which accommodates the kurtosis of VIX return series is preferred.

Angaben zum Objekt

• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Journal: Financial Studies ; ISSN: 2066-6071 ; Volume: 22 ; Year: 2018 ; Issue: 1 (79) ; Pages: 20-31 ; Bucharest: Romanian Academy, National Institute of Economic Research (INCE), "Victor Slăvescu" Centre for Financial and Monetary Research

Klassifikation und Themen

• Klassifikation: Wirtschaft ; Single Equation Models; Single Variables: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes ; Financial Econometrics ; International Financial Markets
• Thema: asymmetry ; volatility ; response to market innovation

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Ural, Mert ; Demireli, Erhan
• Ereignis: Veröffentlichung
• (wer): Romanian Academy, National Institute of Economic Research (INCE), "Victor Slăvescu" Centre for Financial and Monetary Research
• (wo): Bucharest
• (wann): 2018

Weitere Informationen

• Handle: http://hdl.handle.net/10419/231656
• Letzte Aktualisierung: 10.03.2025, 11:44 MEZ