Discover how to leverage MATLAB for quantitative finance modeling
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Updated
Sep 4, 2025
Discover how to leverage MATLAB for quantitative finance modeling
MATLAB examples, functions and otherwise helpful material using the MATLAB Support Package for Quantum Computing
Access National Oceanic and Atmospheric Administration (NOAA) Data from MATLAB
Forecasting the performance of an asset and quantifying the uncertainty associated with such a forecast is a difficult task: one that is frequently made more difficult by a shortage of observed market data. This example illustrates one approach for creating a price forecast based on option price data.
MATLAB example on how to utilize the Experiment Manager app to fine tune portfolio optimization parameters
MATLAB application to create and execute portfolio backtesting strategies.
This example shows to create and simulate the Ramsey-Cass-Koopmans economic model using two distinct approaches: one using MATLAB, and the other using Simulink.
This collection of examples analyzes, models, and forecasts the volatility associated with a collection of soft commodities.
A MATLAB implementation of the Adrian-Crump-Moench (ACM) term premium model described in "Pricing the Term Structure with Linear Regressions", Federal Reserve Bank of New York Staff Reports, Staff Report No. 340, April 2013.
MATLAB custom Live Task that performs co-execution with Python code
This example shows how to analyze aspects of risk contagion in financial time series using mathematical tools such as graph theory and Markov chains.
Access National Center for Atmospheric Research (NCAR) Data in MATLAB
Access Nasdaq Risk Modelling for Catastrophes in MATLAB
Access DBnomics economic data from MATLAB
Access JBA Risk in MATLAB
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