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George Skiadopoulos

Researcher at Queen Mary University of London

Publications -  71
Citations -  2845

George Skiadopoulos is an academic researcher from Queen Mary University of London. The author has contributed to research in topics: Implied volatility & Futures contract. The author has an hindex of 27, co-authored 70 publications receiving 2566 citations. Previous affiliations of George Skiadopoulos include City University London & University of London.

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Should Investors Include Commodities in Their Portfolios After All? New Evidence

TL;DR: In this article, the authors investigated whether an investor is made better off by including commodities in a portfolio that consists of traditional asset classes, and they found that commodities are beneficial only to non-mean-variance investors.
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Should investors include commodities in their portfolios after all? New evidence

TL;DR: In this article, the authors investigated whether an investor is made better off by including commodities in a portfolio that consists of traditional asset classes, and they found that commodities are beneficial only to non-mean-variance investors.
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Can the evolution of implied volatility be forecasted? Evidence from European and US implied volatility indices

TL;DR: In this paper, the authors address the question whether the evolution of implied volatility can be forecasted by studying a number of European and US implied volatility indices, both point and interval forecasts are formed by alternative model specifications.
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The Dynamics of the S&P 500 Implied Volatility Surface

Abstract: This empirical study is motivated by the literature on “smile-consistent” arbitrage pricing with stochastic volatility. We investigate the number and shape of shocks that move implied volatility smiles and surfaces by applying Principal Components Analysis. Two components are identified under a variety of criteria. Subsequently, we develop a “Procrustes” type rotation in order to interpret the retained components. The results have implications for both option pricing and hedging and for the economics of option pricing.
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An empirical comparison of continuous-time models of implied volatility indices

TL;DR: In this paper, the authors explore the ability of alternative popular continuous-time diffusion and jump-diffusion processes to capture the dynamics of implied volatility indices over time and evaluate the performance of the various models under both econometric and financial metrics.