Garch
The Extended GARCH Toolbox estimates a variety of GARCH models with different distributions and for any order of ARCH (p) and GARCH (q) effects.The supported models are:GARCH: Bollerslev (1986)GJR-GARCH: Glosten et al. (1993) EGARCH: Nelson (1991) NARCH: Nonlinear ARCH: Engle and Bollerslev...
Platforms: Matlab
License: Freeware | Size: 10 KB | Download (52): Extended GARCH Toolbox Download |
this function calculates the price of Call option based on the GARCH option pricing formula of Heston and Nandi(2000). The input to the function are: current price of the underlying asset, strike price, unconditional variance of the underlying asset, time to maturity in days, and daily risk free...
Platforms: Matlab
License: Freeware | Size: 10 KB | Download (53): Heston Nandi Option price Download |
Discrete-time models: random walk, ARMA, fractional integration, GARCH). Continuous-time counterparts: Levy processes, Ornstein-Uhlenbeck, fractional Brownian motion, stochastic volatility, subordination.To walk through the code and for a thorough description, refer to A. Meucci (2009), "Review...
Platforms: Matlab
License: Freeware | Size: 4.69 MB | Download (43): Review of Discrete and Continuous Processes in Finance Download |
Updates from version 2.0:1. The marginal GARCH models are estimated from the toolbox functions (without the use of the econometrics/GARCH toolbox of MATLAB).2. Hansen's Skew t distribution for the margins is supported.3. Asymptotic standard errors are computed (Godambe info. matrix)
Platforms: Matlab
License: Freeware | Size: 235.52 KB | Download (47): Dynamic Copula Toolbox Download |
The Toolbox forecasts the volatility of a (mxn) vector of data and from a variety of in-built / non-in-built GARCH models with various distributions, as well as the univariate RiskMetrics. The toolbox also estimates a number of Volatility Forecast Loss Functions and if selected Value-at-Risk for...
Platforms: Matlab
License: Freeware | Size: 20.48 KB | Download (45): Volatility Forecast Toolbox Download |
There are two issues with the Pearson type IV distribution: (I) the complex gamma function entering the normalization constant in the probability density function (pdf) and (II) the complex Gauss hypergeometric function entering the cumulative distribution function (cdf). For the complex gamma...
Platforms: Matlab
License: Freeware | Size: 10 KB | Download (45): In sample Value at Risk and backtesting with the Pearson type IV distribution Download |
Statmetrics is a free cross-platform software application providing an integrated solution for analysis and modelling of financial markets. Statmetrics combines innovative quantitative finance technology's with the traditional technical and econometric analysis methods.
Statmetrics can be...
Platforms: Windows, Mac, *nix, Java,Other
License: Freeware | Size: 585.94 KB | Download (143): Statmetrics Download |
Is a cross-platform software package for econometric analysis, written in the C programming language. It is free, open-source software. You may redistribute it and/or modify it under the terms of the GNU General Public License (GPL) as published by the Free Software Foundation. Features Easy...
Platforms: Windows
License: Freeware | Size: 17.2 MB | Download (635): gretl Portable Download |
This submission provides functions (and examples scripts) for estimation, simulation and forecasting of a general Markov Regime Switching Regression. Features of the package:- Support for univariate and multivariate models.- Support of any number of states and any number of explanatory...
Platforms: Matlab
License: Freeware | Size: 409.6 KB | Download (56): MS_Regress - A Package for Markov Regime Switching Models in Matlab Download |
I wrote this code because I wanted to incorporate a new distribution in the model, not availiable in Matlab or OxMetrics. In this sample the input is a return series, it uses a Garch(1,1) model with a constant in mean in the returns, and calculates the maximum likelihood estimator (mle) for the...
Platforms: Matlab
License: Freeware | Size: 10 KB | Download (44): In sample value at risk and backtesting Download |