Stochastic Volatility under Student's-t Distributed Errors
Option Valuation under Stochastic Volatility
... Reasonable efforts have been made to publish reliable data and information, but the author and the publisher cannot assume responsibility for the validity of all materials or the consequences of their use. All ...
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Option Valuation under Stochastic Volatility
... Reasonable efforts have been made to publish reliable data and information, but the author and the publisher cannot assume responsibility for the validity of all materials or the consequences of their use. All ...
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Option Valuation under Stochastic Volatility
... Reasonable efforts have been made to publish reliable data and information, but the author and the publisher cannot assume responsibility for the validity of all materials or the consequences of their use. All ...
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Stochastic Volatility Model with Leverage and Asymmetrically Heavy-Tailed Error Using GH Skew Student?s t-Distribution
... Student’s t-distributions, and it is closed under affine trans- formations, conditioning and ...Student’s t-distributions (Hansen (1994), Fern´andez and Steel (1998), Aas and Haff ...
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Asset Pricing Under Information with Stochastic Volatility
... Rubinstein (1976) and Brennan (1979) make explicit assumptions on the dis- tribution and the ASPK. More precisely, they assume a representative investor and thus the representative investor’s utility function ...
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Pricing Currency Options Under Stochastic Volatility
... i t , is the currency i option’s market price, N is the trading call/put options in sample period t in each moneyness-maturity category, and C i t GK , is Garman and Kohlhagen’s theory call/put price ...
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Box-Cox Stochastic Volatility Models with Heavy-Tails and Correlated Errors
... As the MCKL involves selecting an optimal bandwidth based on the posterior sample, de Valpine (2004) indicates that further work on automated bandwidth selection would facilitate the application of MCKL. To estimate the ...
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Option Pricing under Stochastic Volatility and Trading Volume
... implied volatility patterns and signi cant conditional skewness and excess kurtosis of stock returns when it is calibrated to reasonable values of ...pricing errors from the SVV model are lower overall than ...
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Prediction distribution for linear regression model with multivariate Student-t errors under the Bayesian approach
... f(z* | y) ∝ β σ 2 > 0 f( β , σ 2 | y) f(z*) d σ 2 d β (5) where f( β , σ 2 | y) is the joint posterior density of unknown parameters β and σ 2 that is provided in (4) and f(z*) is a probability density of the future ...
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Corporate credit risk prediction under stochastic volatility and jumps
... sum-of-squared errors of the fitted regression, as the two measures convey the same information, but the former is better to show how much time-variation of the actual spreads has been explained by the model ...
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"Pricing Barrier and Average Options under Stochastic Volatility Environment"
... Moreover, Appendix examines how different choices of ϵ and y affect the approximation errors of option prices given their multiplication, ϵy is fixed, that is a strike price K = S (0) T − ϵy is fixed. 4 ...
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Executive Stock Option Pricing in China under Stochastic Volatility
... After discarding the burn-in samples, we can collect a series of random samples from the Gibbs output, which can be regarded as effectively random observations from the joint posterior distribution, ( , , , 0 : ...
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Pricing volatility derivatives with stochastic volatility
... large errors on some specifical ...options, under stochastic volatility model with simultane- ous jumps in the asset price and volatility ...and S&P500 ...different ...
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Evaluation of Realized Volatility Predictions from Models with Leptokurtically and Asymmetrically Distributed Forecast Errors
... realized volatility, while Section 3 describes the most widely known specifications for forecasting realized volatility, the ARFIMA and HAR ...forecast errors, whereas Section 6 provides evidence ...
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"Multivariate stochastic volatility"
... the Student t distribution as a replacement for the default Gaussian ...the Student t distribution is that it has a simple hierarchical form as a scale mixture of ...if T is ...
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Asymptotic skew under stochastic volatility
... 1 Introduction : Brief review of Lewis’ work This section has two purposes : first, to introduce the notations we will use hereafter, then to briefly review the methodology as well as the main results concerning the ...
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Implied volatility asymptotics under affine stochastic volatility models
... affine stochastic volatility models ([30] and [68]) form a wide class of tractable and realistic models for equity and foreign exchange markets, and we shall concentrate on ...
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Bayesian prediction distributions for some linear models under student-t errors
... multivariate Student-t and a univariate Student-t distributions respectively with appropriate location, scale and shape parameters; and all of these marginal distributions can be obtained ...
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Exotic Options Pricing under Stochastic Volatility
... different stochastic volatility ...square-root volatility process by inverting the characteristic function seen as a Fourier ...including stochastic volatility and jumps processes by ...
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Pricing variance swaps under stochastic volatility and stochastic interest rate
... the importance of encompassing the uncertainties which later led to investigation of stochastic interest rate models. Yet, it is undeniable that this goes inextricably with the real scenarios occurring in the ...
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