Portfolio Optimization Summary

Various quantitative finance algorithms in areas related to asset allocation and portfolio simulation. Includes Black-Litterman model, State/Preferencem Interior points, and Active Set quadratic optimization.

An advanced portfolio management software. It offers you a clear concise way of managing multiple accounts under one "umbrella." Setting up new accounts and managing the information is a snap! It offers consolidated reports, market updates, portfolio yields, accounts yields, allocation reporting,...

This script produces a summary of the data, grouped by the given key (default: the first item), and giving totals of the given value (default: the second item). The key and value arguments should be functions which, given a data record, return the relevant value.


Platforms: Windows, Mac, *nix, Python, BSD Solaris

This function decorates a function with tail call optimization. It does this by throwing an exception if it is it's own grandparent, and catching such exceptions to fake the tail call optimization. This function fails if the decorated function recurses in a non-tail contexif the de />


Platforms: Windows, Mac, *nix, Python, BSD Solaris

The list can be inserted into any page or post through the [blog-summary] shortcode. InstallationUnpack and upload it to the /wp-content/plugins/ directory.Activate the plugin through the 'Plugins' menu in WordPress. Key features "Blog Summary": - Out-of-the-box function using shortcode without...


Platforms: Windows, Mac, *nix, PHP, BSD Solaris

Dennisse Portfolio Analyzer is a lightweight yet powerful portfolio trading management software for stock market investment. This tools enables you to utilize to the max of the trading signals from most popular trading indicators. It's suitable for individual investor who likes to maximize their...


Platforms: Windows, Other

A few popular metaheuristic algorithms are included, such as the particle swarm optimization, firefly algorithm, harmony search and others.


Platforms: Matlab

M-files accompanying the " Genetic Algorithms & New Optimization Methods in MATLAB " webinar.These files provide what you need to run the two demos: Optimization of non-smooth objective function, and Optimization of a random stochastic objective function.To run the first demo run the file...


Platforms: Matlab

Particle swarm optimization is a technique used in many control systems application. Here i used the PSO in PID controller tuning


Platforms: Matlab

An animated simulation of Particles in 2D searching for a global minima of a simple function using Particle Swarm Optimization algorithm


Platforms: Matlab

This upload contains a hybrid Particle Swarm Optimization algorithm for functions in the real space. An options file is also provided, which lets the user fully parameterize the process. The hybrid function used is the @fminsearch, which is available on the MATLAB core. The PSO performs very well...


Platforms: Matlab

This demo shows how to use MATLAB, Optimization Toolbox, and Genetic Algorithm and Direct Search Toolbox to optimize the design of a double wishbone suspension system.Note: You will need to have the following products installed in order to run this demo: MATLAB, Simulink, Optimization Toolbox,...


Platforms: Matlab

GANSO is a programming library for global and nonsmooth, nonlinear optimization. Unlike local methods (e.g., quasi-Newton), global optimization methods aim at locating the absolute minimum of a function, not the nearest stationary point. GANSO toolbox provides an interface for calling GANSO...


Platforms: Matlab

A demo program of image edge detection using ant colony optimization.


Platforms: Matlab

Deterministic unconstrained optimization method using Powell.


Platforms: Matlab

Fiels from the webinar: Speeding up optimization problems with parallel computing


Platforms: Matlab

This is a wrapper function to solve optimization problems (using FMINCON) of the form:min w.r.t. X of CostFunc(X) = beta*(W_ls*F(X)) + (1 - beta)*(max(W_mm*F(X)))subject to: A*X


Platforms: Matlab

This book starts with a review of parameter optimization and then treats dynamic optimization, first with fixed final time and no constraints, next with terminal contraints, and finally with terminal constraints and open final time. This is followed by chapters on linear-quadratic problems and...


Platforms: Matlab

SNTO is a global optimization method where many points are generated in a multi-dimensional domain; the optimum point is selected and the domain is contracted around the neighborhood of the optimum. See for example: Number-Theoretic Methods in Statistics By K?ai-t?ai Fang, Yuan Wang


Platforms: Matlab

Contains the demos (plus a few extra) that were shown in the August 21, 2008 Webinar titled "Tips and Tricks: Getting started using optimization with MATLAB".Included parallel computing examples that were not shown in the webinar (require R2008a products)


Platforms: Matlab