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13.06.2019
26th Annual MFS Conference - The final version of the program with the sessions, paper presentations and booklet is now available online
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09.05.2019
26th Annual MFS Conference - A preliminary version of the conference program is now available online
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08.04.2019
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Forthcoming MFJ Article
05.02.2019



A Comparative GARCH Analysis of Macroeconomic Variables and Returns on modelling the kurtosis of FTSE 100 Implied Volatility Index

Abdulilah Ibrahim Alsheikhmubarak, Royal Holloway, University of London, UK
Evangelos Giouvris, Royal Holloway, University of London, UK

Modelling the volatility (or kurtosis) of the implied volatility is an important aspect of financial markets when analysing market consensus and risk strategies. The purpose of this study is to evaluate the ability of symmetric and asymmetric GARCH systems to model the volatility of the FTSE 100 Implied Volatility Index (IV). We use GARCH, EGARCH, GJR-GARCH and GARCH-MIDAS to model variance. We also introduce FTSE 100 returns and several macroeconomic variables (UK industrial production, 3M LIBOR, GBP effective exchange rate and unemployment rate) to investigate whether they explain variance. Our results show that market returns is a major explanatory factor besides macroeconomic variables. Also, GARCH (1,1) outperforms other asymmetric models unless there is exceptionally high volatility such as the crisis of 2008 in which case EGARCH performs better. GJR-GARCH is outperformed by all other models. GARCH-MIDAS shows that both macroeconomic variables and market returns are useful when estimating IV. 

Keywords:
 FTSE 100 implied volatility index (IV); GARCH; EGARCH; GJR-GARCH; GARCH-MIDAS; FTSE 100 index returns; macroeconomic variables

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