Quantitative Finance

Investment Management, Risk Management, Algorithmic Trading, Econometric Modeling, Pricing and Insurance

Posts 1 - 10 of 11

Results for: New Features

Deep Learning in Quantitative Finance: Multiagent Reinforcement Learning for Financial Trading

The following blog was written by Adam Peters, Software Engineer at Mathworks.
Download the code for this example from Github here
Overview:
Financial trading optimization involves developing a… read more >>

MATLAB Portfolio Backtesting – A new app now on GitHub!

The following blog was written by Sara Galante, Senior Finance Application Engineer at Mathworks. 
MathWorks has a new application to implement backtesting strategies available on GitHub. This custom… read more >>

Top MATLAB Quantitative Finance Resources now on GitHub

The following blog was written by Sara Galante, Senior Finance Application Engineer at Mathworks. 
MathWorks now has a curated selection of quant finance resources using MATLAB . Whether you’re… read more >>

Model Monitoring and Drift Detection with Modelscape

MathWorks recently hosted a webinar on Model Monitoring and Drift Detection, where Paul Peeling presented strategies for maintaining the health and fairness of deployed models using the MathWorks… read more >>

Deep Learning in Quantitative Finance: Transformer Networks for Time Series Prediction 1

The following blog was written by Owen Lloyd , a Penn State graduate who recently join the MathWorks Engineering Development program.
The code used to develop this example can be found on GitHub… read more >>

Managing and Fine-Tuning Portfolio Optimization Workflows with Experiment Manager

The following blog was written by Sara Galante, Senior Finance Application Engineer at Mathworks. 
The code used to develop this example can be found on GitHub here: Managing Asset Allocation with… read more >>

The Path to Carbon Neutrality: A Time Series Approach

The following blog was written by Leslie Zhang, a Northeastern graduate who recently joined MathWorks Engineering Development program. This post aims to highlight the collaboration opportunities… read more >>

Time Series Analysis of Trends in Global Carbon Emissions from Fossil Fuels

The following post is from Hang Qian, Software Developer on the Econometrics Toolbox Team.
Global carbon emissions have increased dramatically since 1901. However, the annual growth rates were… read more >>

Reinforcement Learning as your portfolio advisor

The following post is from Ian Chie, Bowen Fang, Botao Zhang and Yichen Yao from Columbia University.
Inspiration
Let’s say you want to invest and make money. Your goal is to maximize your… read more >>

Quantum Computing for Optimizing Investment Portfolios 1

The following post is from Sofia Ma, Senior Engineer for Finance
Quantum computing is a cutting-edge field of study that harnesses the principles of quantum mechanics to perform complex computations… read more >>

Posts 1 - 10 of 11