Results 271 to 280 of about 1,174,040 (290)
SSRN Electronic Journal, 2008 Realized volatility is a nonparametric ex-post estimate of the return variation. The most obvious realized volatility measure is the sum of finely-sampled squared return realizations over a fixed time interval. In a frictionless market, the estimate achieves consistency for the underlying quadratic return variation when returns are sampled at ...
Torben G. Andersen, Luca Benzoni
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SSRN Electronic Journal, 2008 Given the importance of return volatility on a number of practical financial management decisions, the efforts to provide good real-time estimates and forecasts of current and future volatility have been extensive. The main framework used in this context involves stochastic volatility models.
Torben G. Andersen, Luca Benzoni
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Problems of Information Transmission, 2005
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Goldentayer, L. +2 more
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Goldentayer, L. +2 more
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Nonvolatile, semivolatile, or volatile: Redefining volatile for volatile organic compounds
Journal of the Air & Waste Management Association, 2014Although widely used in air quality regulatory frameworks, the term "volatile organic compound" (VOC) is poorly defined. Numerous standardized tests are currently used in regulations to determine VOC content (and thus volatility), but in many cases the tests do not agree with each other, nor do they always accurately represent actual evaporation rates ...
Uyên-Uyén T, Võ, Michael P, Morris
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Dynamic volatility management: from conditional volatility to realized volatility
Journal of Investment Strategies, 2019The volatility of concern in conventional volatility-managed strategies such as volatility-targeting strategy and mean-variance optimization is the expected conditional volatility. However for investors, it is the realized volatility that is important, because there is only one realization in the market.
Rongju Zhang +3 more
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International Journal of Theoretical and Applied Finance, 2002
Hull and White [1] have priced a European call option for the case in which the volatility of the underlying asset is a lognormally distributed random variable. They have obtained their formula under the assumption of uncorrelated innovations in security price and volatility.
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Hull and White [1] have priced a European call option for the case in which the volatility of the underlying asset is a lognormally distributed random variable. They have obtained their formula under the assumption of uncorrelated innovations in security price and volatility.
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Stochastic Volatility III: Volatility Models and Volatility Surfaces
SSRN Electronic Journal, 2010We consider implied volatility, time-dependent volatility, local volatility and stochastic volatility. We derive relationships between the different concepts. The relationships are of an exact analytical type if this is possible, else we use expansions to obtain approximate expressions. We close with a discussion of the mixing theorem.
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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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Implied Volatility Forecasting Realized Volatility
2021This chapter conducts an empirical analysis of IV to forecast the RV through testing hypothesis 1–9. The analysis includes three steps. First, estimate the IV for ATM price of currency options with 1-, 2-, and 3-month maturity during opening, midday, and closing period.
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A Stochastic Volatility Model, Volatility Smile and Forecasting Volatility
SSRN Electronic Journal, 2004In this paper we propose a stochastic valuation model based on the Fourier transform for option price. This model can be used for the valuation of European options, characterized by two state variables: the price of the underlying asset and its volatility.
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