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  • Automated Data Analytics in MATLAB

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  • Real Options Valuation with MATLAB

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  • Solving Large-Scale Optimization Problems with MATLAB

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Using hedge fund data as an example, this article demonstrates how MATLAB® can be used to automate the process of acquiring and analyzing fraud detection data.
A process for real options valuation of an iron ore mine, including developing price and interest-rate models based on historical data, and producing distributions for a range of economic outcomes based on calculations of net present value (NPV).
Three techniques for finding a control strategy for optimal operation of a hydroelectric dam: using a nonlinear optimization algorithm, a nonlinear optimization algorithm with derivative functions, and quadratic programming.
Examples of how financial professionals from more than 2300 organizations worldwide use MATLAB to develop and implement financial models, analyze substantial volumes of data, and operate under tightening regulation.
A MATLAB based model lets economists quickly update GDP forecasts and deliver the results almost in real time
Run your MATLAB code on a GPU by making a few simple changes to the code.
Using WMS to simplify the process of finding geospatial raster data and Mapping Toolbox to analyze the data and create map displays.
A MATLAB based model helps analysts project the future state of the New Zealand economy.
We performed coupled electro-mechanical finite element analysis of an electro-statically actuated micro-electro-mechanical (MEMS) device.
Using MATLAB®, Capgemini has developed a process for calculating economic capital that takes portfolio concentration into account.
This article demonstrates how to ease the calculation and use of gradients using Symbolic Math Toolbox™.
This article provides brief profiles of 7 customers who use parallel computing to solve computationally intensive problems: Max Planck Institute, EIM Group, Argonne National Laboratory, C-COR, MIT, Univ of London, Univ of Geneva.
New scenario analysis models enable Italy’s leading bank to comply with Basel II requirements by holding capital against losses arising from operational risk.
In the summer of 2002, flooding in Europe caused billions of Euros in damage. Five years earlier, a 75% drop in the Thai stock market contributed to a 554-point drop in the Dow Jones Industrial Average on October 27, 1997.
Use MATLAB and Financial Toolbox to construct realistic, optimal portfolios that are stable over time.
This article walks you through a simple example that illustrates how to use Excel Builder and Visual Basic for Applications (VBA) to create a custom GUI-based application that plugs right into Microsoft Excel.

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