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Correlation of Income Instability With 12 Non-Communicable Disease Risks in Korea: A Prospective Cohort Study. [PDF]
Cho J +14 more
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Ketamine and Psilocybin Differentially Impact Sensory Learning During the Mismatch Negativity
Allohverdi SG +7 more
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Non-parametric Causal Discovery for EU Allowances Returns Through the Information Imbalance
Salvagnin C +4 more
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HEDGING VOLATILITY RISK: THE EFFECTIVENESS OF VOLATILITY OPTIONS [PDF]
In this paper we focus on the performance of volatility options as hedging instruments for hedging volatility risk. We investigate (a) the relative hedging performance of volatility and European options, (b) the relative hedging performance of volatility index and straddle options, and (c) the impact of model misspecification on hedging effectiveness.
YUNBI AN, ATA ASSAF, JUN YANG
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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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