Results 261 to 270 of about 11,306 (311)
Computationally Efficient Multi-Asset Stochastic Volatility Modeling
, 2018 Yizhou Fang
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Non-parametric Causal Discovery for EU Allowances Returns Through the Information Imbalance
Salvagnin C +4 more
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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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Stochastic volatility demand systems [PDF]
Econometric Reviews, 2015 We address the estimation of stochastic volatility demand systems. In particular, we relax the homoscedasticity assumption and instead assume that the covariance matrix of the errors of demand systems is time-varying. Since most economic and financial time series are nonlinear, we achieve superior modeling using parametric nonlinear demand systems in ...
Apostolos Serletis, Maksim Isakin
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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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Discrete Stochastic Autoregressive Volatility
SSRN Electronic Journal, 2013Abstract We use Markov chain methods to develop a flexible class of discrete stochastic autoregressive volatility (DSARV) models. Our approach to formulating the models is straightforward, and readily accommodates features such as volatility asymmetry and time-varying volatility persistence.
Adriana S. Cordis, Chris Kirby
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Stochastic Local Volatility [PDF]
SSRN Electronic Journal, 2008 There are two unique volatility surfaces associated with any arbitrage-free set of standard European option prices, the implied volatility surface and the local volatility surface. Several papers have discussed the stochastic differential equations for implied volatilities that are consistent with these option prices but the static and dynamic no ...
Carol Alexander, Leonardo Nogueira
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2008
Stochastic volatility (SV) is the main concept used in the fields of financial economics and mathematical finance to deal with the endemic time-varying volatility and codependence found in financial markets. Such dependence has been known for a long time; early commentators include Mandelbrot (1963) and Officer (1973). It was also clear to the founding
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Stochastic volatility (SV) is the main concept used in the fields of financial economics and mathematical finance to deal with the endemic time-varying volatility and codependence found in financial markets. Such dependence has been known for a long time; early commentators include Mandelbrot (1963) and Officer (1973). It was also clear to the founding
openaire +1 more source