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Forecasting Volatility with Time-Varying Leverage and Volatility of Volatility Effects
SSRN Electronic Journal, 2018Abstract Predicting volatility is of primary importance for business applications in risk management, asset allocation, and the pricing of derivative instruments. This paper proposes a measurement model that considers the possibly time-varying interaction of realized volatility and asset returns according to a bivariate model to capture its major ...
Catania, L, Proietti, T
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ASYMPTOTICS OF IMPLIED VOLATILITY IN LOCAL VOLATILITY MODELS
Mathematical Finance, 2010Using an expansion of the transition density function of a one‐dimensional time inhomogeneous diffusion, we obtain the first‐ and second‐order terms in the short time asymptotics of European call option prices. The method described can be generalized to any order.
J. Gatheral +4 more
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Variance Swaps Under Multiscale Stochastic Volatility of Volatility
Methodology and Computing in Applied Probability, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Min-Ku Lee, See-Woo Kim, Jeong-Hoon Kim
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Volatility of volatility is (also) rough
Journal of Futures Markets, 2019AbstractUsing high‐frequency data for major volatility indexes, we compute the volatility of volatility and show that its logarithm follows a fractional Brownian motion with Hurst parameter smaller than 1/2 thereby extending to the volatility asset class the recent findings obtained for the equity index markets.
José Da Fonseca, Wenjun Zhang
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Stochastic Volatility of Volatility and Variance Risk Premia
SSRN Electronic Journal, 2011This article introduces a new class of stochastic volatility models which allows for stochastic volatility of volatility (SVV): Volatility modulated non-Gaussian Ornstein--Uhlenbeck (VMOU) processes. Various probabilistic properties of (integrated) VMOU processes are presented.
Barndorff-nielsen, O.E., Veraart, A.E.D.
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THE ROLE OF IMPLIED VOLATILITY IN VOLATILITY COMBINING FORECASTS
International Journal of Economics and Business Research, 2023This study explores the role of implied volatility (IV) in volatility combining forecasts for S&P 500 and DAX markets. A range of GARCH models, ad hoc models and STES models were developed to identify the best performing model that served as a base model for subsequent combining process, of which GJRGARCH model appeared to be the superior model among ...
Ho, Jen Sim +4 more
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Board Structure and the Volatility of Volatility
SSRN Electronic Journal, 2020Using the NYSE/NASDAQ listing rule changes to establish causality, we are the first to empirically show that board structure can significantly reduce the volatility of volatility of stock returns, which can be a consequence of erratic decision-making. The effect is moderated by firm characteristics such as size and fundamental risk.
Alexander Merz, Sebastian Trabert
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The economic value of volatility timing using “realized” volatility
Journal of Financial Economics, 2001Abstract Recent work suggests that intradaily returns can be used to construct estimates of daily return volatility that are more precise than those constructed using daily returns. We measure the economic value of this “realized” volatility approach in the context of investment decisions.
Jeff Fleming +2 more
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The Role of Volatility Regimes on Volatility Transmission Patterns
SSRN Electronic Journal, 2011This paper investigates volatility transmission patterns between the US and Eurozone stock markets differentiating between low and high volatility periods which tend to be related with international crisis. Our approach let us distinguish the spillover intensities between markets in calm and crisis periods and also tests for a potential increase of ...
Nikos Nomikos, Enrique Salvador
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Trade fragmentation and volatility-of-volatility networks
Journal of International Financial Markets, Institutions and MoneyInternational ...
Bastidon, Cécile, Jawadi, Fredj
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