Quantitative Finance

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

다음에 대한 결과: 2023

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… 더 읽어보기 >>

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… 더 읽어보기 >>

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… 더 읽어보기 >>

MathWorks Finance Conference 2023 preview (Oct 11 – 12)

It’s my pleasure to give everyone a sneak peek into the upcoming MathWorks Finance 2023 conference, which will be held virtually over 2 days on October 11 and 12.
You will get a chance to hear how… 더 읽어보기 >>

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… 더 읽어보기 >>

Quantum Computing for Optimizing Investment Portfolios

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… 더 읽어보기 >>

The evolution of Quantitative Finance in MATLAB (What’s New)

Hi Everyone,
I would like to welcome you to our new blog on Quantitative Finance. To kick things off, I’d like to give an overview of the main areas that we’ve been working on here at MathWorks in… 더 읽어보기 >>