Monte Carlo Methods In Finance

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...

Blackjack basic strategy calculator project is a Monte Carlo basic strategy calculator. bsc finds the Blackjack strategy through the Monte Carlo method. It analyzes each situation with adaptive depth, and is generally optimized for speed. The rules are hard coded for the authors local...

Analyse risks and make better decisions using Monte Carlo simulation. Stand-alone app that includes drag-n-drop interface, tons of examples and 'What-If' analysis. Produces lots of graphs and charts to help understand the results.While not required, it works great with Excel giving your...


Platforms: Windows

Function for pricing basket option using Monte Carlo Simulation. You can specify if you want an American option. For American options, it follows LMS algorithm. You can choose to specify Averaging date, Average Price, Average type etc. asianbasket.m and europeanbasket.m are the files for pricing....


Platforms: Matlab

Risk matters to anyone who intends to start up with a new business project, whether it be a hot dog stand, a garage or an airplane factory. Your gut feeling is of the greatest relevance. But sometimes helpers have a different perspective than you and want something more tangible to decide on...


Platforms: Windows, *nix, Windows 7, Other

The MATLAB program simulates binary frequency shift keying (BFSK) at baseband through Monte Carlo method. The goal is to simulate bit error rate (BER) over an additive white Gaussian noise (AWGN) channel. For realizing that, the effect of noise is represented in the baseband with Gaussian random...


Platforms: Matlab

The MATLAB program simulates binary phase shift keying (BPSK) at baseband through Monte Carlo method. The goal is to simulate bit error rate (BER) over an additive white Gaussian noise (AWGN) channel. For realizing that, the effect of noise is represented in the baseband with Gaussian random...


Platforms: Matlab

The STP LJ2DMetropolis program is a Monte Carlo simulation of Lennard-Jones particles in two dimensions in contact with a heat bath. The default initial condition is a rectangular configuration of N=64 particles in a box of length L = 18 and a temperature T= 1. STP LJ2DMetropolis is part of a...


Platforms: Mac

Inyo is a Monte Carlo-based global illumination renderer written in Java.


Platforms: Windows, Mac, Linux

Photonics is a photon tracking Monte Carlo package, which calculates photon flux and time distributions in a heterogeneous medium surrounding a light source. The propagation medium and detector and light sources are highly customizable.


Platforms: Mac, BSD, Linux

The QuantLib project is aimed at providing a comprehensive software framework for quantitative finance. QuantLib is a free/open-source library for modeling, trading, and risk management in real-life. QuantLib is written in C++ with a clean object model, and is then exported to different...


Platforms: Windows, Mac, *nix, C/C++, BSD Solaris

This program performs a Monte Carlo simulation of a coherent QPSK communication system and plot the error probability performance over additive whit Gaussian noise channel. The detection is based on correlation metric. Simulation is performed for 10,000 bits and measurements are made accordingly.


Platforms: Matlab

In Evolutionary Multiobjective Optimization (EMO), an algorithm produces a set of points in the performance space as an estimation of the Pareto front. A quantitive measure is desired to estimate the closeness of the estimated data points to the true Pareto front.One of such measures is the...


Platforms: Matlab

Simulates the wall effect in a gaseous thermal neutron detector with a gaseous neutron converter (He-3) using the Monte Carlo method. Based on the gap thickness (in m) and the partial pressure of helium-3 (in bar), this program computes the fraction of events that suffers to some extent from the...


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

It is aimed to perform comparison analysis of numerical solution search ..% methods of 2nd order ODE. Heun's Method, Euler's method, Runge-Kutta% (MATLAB built-in solver-ODE45) and analytical solution of the given ODE.% Given an ODE: D2y+2Dy+y=exp(-t); ICs: y(0)=1; Dy(0)=2.


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