Introduction by SmartSE
Applying English Wikipedia commonfixes
No changes necessary: references template found.
HTTP error (404) for http://www.library.cornell.edu/nr/bookcpdf.html on [[Stochastic volatility]]
DO NOT DELETE CiteWeb or the Wayback Machine can be used to relocated dead link, Checklinks is designed to handle this.
List citation templatesReference:

Current revision
91
==Calibration==
91
==Calibration==
n92
Once a particular SV model is chosen, it must be calibrated against existing market data. Calibration is the process of identifying the set of model parameters that are most likely given the observed data. One popular technique is to use [[Maximum likelihood|Maximum Likelihood Estimation]] (MLE). For instance, in the Heston model, the set of model parameters $\Psi_0 = \{\omega, \theta, \xi, \rho\} \,$ can be estimated applying an MLE algorithm such as the Powell [[Directed set|Directed Set]] method [http://www.library.cornell.edu/nr/bookcpdf.html] to observations of historic underlying security prices.
n92
Once a particular SV model is chosen, it must be calibrated against existing market data. Calibration is the process of identifying the set of model parameters that are most likely given the observed data. One popular technique is to use [[Maximum likelihood|Maximum Likelihood Estimation]] (MLE). For instance, in the Heston model, the set of model parameters $\Psi_0 = \{\omega, \theta, \xi, \rho\} \,$ can be estimated applying an MLE algorithm such as the Powell [[Directed set|Directed Set]] method <ref>[http://www.library.cornell.edu/nr/bookcpdf.html ]{{dead link|date=December 2013}}</ref> to observations of historic underlying security prices.
93
93
104
*[[Black–Scholes]]
104
*[[Black–Scholes]]
t105
*[[Subordinator_(mathematics)|Subordinator]]
t105
*[[Subordinator (mathematics)|Subordinator]]
106
106