Monte Carlo Software

Compute European call option price using the Heston model and a conditional Monte-Carlo method [call_prices, std_errs] = Heston(S0, r, V0, eta, theta, kappa, strike, T, M, N)*******************************************************************************INPUTS: S0 - Current price of the underlying...

Simulation model to accompany the article, "Monte-Carlo Simulation in MATLAB Using Copulas" in the November 2003 issue of MATLAB News&Notes. The function METAPOP runs the metapopulation simulation model described in the article.MATLABdlT«'s Statistics Toolboxd-OC?D? includes a variety of...

Applying the inverse transform method to the normal distribution entails evaluation of the inverse normal. This is the Beasley-Springer-Moro algorithm for approximating the inverse normal.Input: u, a sacalar or matrix with elements between 0 and 1Output: x, an approximation for the inverse normal...


Platforms: Matlab

As a coursework, we are required to price a double barriers knock-in binary put option. We used finite difference method in 24 ways and multinomial lattice in 12 ways. We also implemented analytic and Markov chain method. At the end, we compared these four methods and Monte Carlo method.In this...


Platforms: Matlab

A Monte-Carlo simulation meant to calculate the position of micronsized particles in an optical trap (seen as an harmonic potential). It returns the position in meters. Bead radius, corner frequency/ trapping stiffness, sampling frequency and number of sampled points can be varied. It is small...


Platforms: Matlab

Online Simulation of Brownian motion in 2d, 3d. Stock Simulation with EWMA, GARCH(1,1). One factor equilibrium interest rate model simulations, estimation and residual testing using Euler's appr. Monte Carlo option pricing with stochastic interest rates.


Platforms: Matlab

Function PAGE computes the value of Page test statistic for layout matrix x, with subjects in rows and treatments in columns. Midranks are calculated with Matlab's TIEDRANKS.Function MCPAGE computes the value of Page test statistic for layout x and B random within-subject permutations of x,...


Platforms: Matlab

The script gf_mmc_driver.m runs multiple independent instances of a MMC method in parallel with MATLAB's Distributed Computing Toolbox. The outer loop in script gf_mmc_driver.m represents the basic MMC iteration, which initializes and runs a Markov chain and performs a Berg update. In each of the...


Platforms: Matlab

The bootstrap is a way of estimating the variability of a statistic from a single data set by resampling it independently and with equal probabilities (Monte Carlo resampling). Allows the estimation of measures where the underlying distribution is unknown or where sample sizes are small. Their...


Platforms: Matlab

The bootstrap is a way of estimating the variability of a statistic from a single data set by resampling it independently and with equal probabilities (Monte Carlo resampling). Allows the estimation of measures where the underlying distribution is unknown or where sample sizes are small. Their...


Platforms: Matlab

The bootstrap is a way of estimating the variability of a statistic from a single data set by resampling it independently and with equal probabilities (Monte Carlo resampling). Allows the estimation of measures where the underlying distribution is unknown or where sample sizes are small. Their...


Platforms: Matlab

The bootstrap is a way of estimating the variability of a statistic from a single data set by resampling it independently and with equal probabilities (Monte Carlo resampling). Allows the estimation of measures where the underlying distribution is unknown or where sample sizes are small. Their...


Platforms: Matlab

The bootstrap is a way of estimating the variability of a statistic from a single data set by resampling it independently and with equal probabilities (Monte Carlo resampling). Allows the estimation of measures where the underlying distribution is unknown or where sample sizes are small. Their...


Platforms: Matlab

this file showing how the Randomization in Monte-carlo method can get PI value (constant value)


Platforms: Matlab

Use this code to simulate basic microstructure evolution. This is quite an old code. Will post the updated code in 2D and 3D shortly. This version uses wrap boundary condition and the computation is a bit slower as against the new code. However, I am making some changes to the newer versions. So,...


Platforms: Matlab

This program estimates the failure probability of a superficial square footing on stiff consistency plastic soil; using two failure criteria, bearing capacity and maximum settlement.


Platforms: Matlab

The STP XY Model program implements a Monte Carlo simulation of the planar ferromagnet or XY Model of spins on a lattice. The simulation returns the configuration of spins with the option of showing the vortices. The default system is a lattice of linear dimension L = 20 at temperature T = 0.89....


Platforms: Mac

The Fermat Light Ray model shows a light ray traveling left to right through N homogeneous regions with different refractive indicies. Because light travels in a straight line through a homogenous medium, the path is determined by the vertical coordinates at each boundary. A data table allows...


Platforms: Mac

The STP Hard Disks Metropolis program is a Monte Carlo simulation of hard disks in two dimensions. The default initial condition is a rectangular configuration of N=64 particles in a box of length L = 40. You can slowly increase the density of the gas (by setting the minimum scale length between...


Platforms: Mac

The STP 1DIsing program is a Monte Carlo simulation of a one-dimensional Ising model in equilibrium with a heat bath at temperature T using the Metropolis algorithm. The default is N=64 spins up (s = 1) with no external field with heat bath temperature T=1. STP Ising1D is part of a suite of Open...


Platforms: Mac