Simulation tests for 1 dimensional stochastic volatility model
Monte Carlo Simulation of a Two-Factor Stochastic Volatility Model
... As well known, quasi-Monte Carlo methods have better convergence rate, at least asymptotically, of O(log d N/N ), whereas Monte Carlo methods have con- vergence rate of O(N −1/2 ), where N is the sample size or ...
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A low-bias simulation scheme for the SABR stochastic volatility model
... SABR model, i.e. β = 1 and α = 0, ...= 1, the asset price follows a basic geometric Brownian motion and there is no complication with the absorbing boundary at ...
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The Heston Stochastic-Local Volatility Model: Efficient Monte Carlo Simulation
... SLV model and highlight the issues related to efficient model ...Carlo simulation scheme, nontrivial conditional expectations can be evaluated ...the simulation of the full-scale model ...
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Nonparametric specification tests for stochastic volatility models based on volatility density
... continuous-time stochastic volatility model: dX t = σ t dB t , dσ t 2 = b(σ t 2 )dt + a(σ t 2 )dW t , (1) ∗ I wish to thank the co-editor Yacine A¨ıt-Sahalia, the associate editor and three ...
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Nonparametric specification tests for stochastic volatility models based on volatility density
... continuous-time stochastic volatility model: dX t = σ t dB t , dσ t 2 = b(σ t 2 )dt + a(σ t 2 )dW t , (1) ∗ I wish to thank the co-editor Yacine A¨ıt-Sahalia, the associate editor and three ...
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On Leverage in a Stochastic Volatility Model
... the simulation inefficiency is less a problem for the asymmetric SV models than that for the basic SV model (see Section 5 ...a simulation study (see Section 6 below) clearly show that BUGS produces ...
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Heston stochastic volatility model
... Heston model is not covered in the literature in such extent that could be comparable to the coverage of the simulation ...the model to ...server 1 we were able to find benchmark values by ...
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The Jacobi Stochastic Volatility Model
... Jacobi model is a highly tractable and versatile stochastic volatility ...Heston stochastic volatility model as a limit ...finite dimensional distributions of the log ...
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A semiparametric stochastic volatility model
... Our model extends the model studied in Harvey and Shephard (1996), Yu (2005), Omori et al ...the simulation-based maximum likelihood (SML) method. Our model is closely related to the ...
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Nonparametric estimation for a stochastic volatility model.
... V t dB t , with V t a one-dimensional positive diffusion process independent of the Brownian motion B. For both the drift and the diffusion coefficient of the un- observed diffusion V , we propose nonparametric ...
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The stochastic volatility Markov functional model
... implied volatility has no effect on the auto-correlations of the driver and therefore the swap rates at their setting dates, which is inconsistent with what we observed in the ...non-stochastic ...
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A Stochastic Volatility Model with Conditional Skewness
... and tests a parsimonious discrete-time affine model with stochastic volatility and conditional ...time-series volatility models is motivated by their tractability in empirical ...SV ...
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Unit Root Tests in Time Series and Stochastic Volatility Models
... Table 1-30 provides the results of a simulation ...ADF tests using 6 and 12 lags and the IV- based test are also appended to the table to facilitate a quick ...
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Specification tests for time-varying parameter models with stochastic volatility
... Recall that a positive log Bayes factor represents evidence in support of the unrestricted model against the restricted version—i.e., the model with some form of stochastic volatil- ity is preferred. ...
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Frequentist and Bayesian Unit Root Tests in Stochastic Volatility Models
... As seen above, deriving the joint posterior density of the SVM parameters amounts to integrating out the unobserved log-volatilities h which is difficult to perform both analytically and numerically as the number of ...
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A Comparison of Biased Simulation Schemes for Stochastic Volatility Models
... the simulation of the Heston model in its full glory have started ...exact simulation algorithm has been devised for the Heston ...Heston model and variations thereof, the exact algorithm ...
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Importance sampling for monte carlo simulation to evaluate collar options under stochastic volatility model
... constant volatility assumption, the pricing problem of collar options can be solved in the classical Black Scholes ...constant volatility assumption, so stochastic volatility model is ...
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A Complete Stochastic Volatility Model in the HJM Framework
... a stochastic volatility version of the Heath, Jarrow and Morton (1992) term structure ...complete stochastic volatility stock market model to the interest rate ...Numerical ...
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Properties of Time Varying Causality Tests in the Presence of Multivariate Stochastic Volatility
... causality tests when errors of variables have multivariate stochastic volatility ...sality tests in this paper are based on a logistic smooth transition autoregressive ...causality ...
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Stochastic volatility
... a simulation approach to implement a non-linear Kalman-filter-type technique, which yields effective forecasts for the unobservable state ...structural model is correct and the data are simulated at the ...
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