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Matrices, matrix functions, and matrix algebra are
the most efficient ways to analyze sets of numbers.
Matrix algebra you learned in school but may have
Inputs and outputs for Financial
to Computational Finance with MATLAB: A Risk Management Example (44
min 00 sec)
Using MATLAB to Develop and Deploy Financial Applications (51 min 20
Tables for Financial Data (5 min 33 sec)
Computing with MATLAB in Computational Finance (51 min 53 sec)
for R Users in Computational Finance (55 min 12 sec)
in MATLAB for Financial Applications (63 min 00 sec)
Machine Learning for Algorithmic Trading (32 min 55 sec)
Investment Strategies with CVaR Portfolio Optimization in MATLAB (50
min 42 sec)
MATLAB Based Financial Analytics into Databases, Web, and Messaging
Systems (29 min 32 sec)
Production Server for Financial Applications (38 min 28 sec)
a Portfolio Analysis Production Application in MATLAB using Object-Oriented
Programming Techniques (50 min 46 sec)
Trading with MATLAB (44 min 28 sec)
Trading with MATLAB and FactSet (69 min 09 sec)
Equity-Indexed Annuities with MATLAB (52 min 26 sec)
Variable Annuities with MATLAB (59 min 05 sec)
and Analysis of an Insurance Contract (34 min 09 sec)
Risk Modeling with MATLAB (53 min 10 sec)
Corporate Default Rates with MATLAB (54 min 36 sec)
Trading with MATLAB for Financial Applications (64 min 42 sec)
Trading System Development with MATLAB (70 min 21 sec)
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