Wednesday, April 8, 2020 at 9:00 AM until 10:00 AMEastern Daylight Time UTC -04:00
Zoom Web Conference
The application of deep neural networks is helping researchers solve new kinds of finance problems. This talk is focused on a series of projects, and will touch on selecting the best features for machine learning methods, credit rating assessments using quarterly data and applications to portfolio management, and high-frequency credit rating using equity, bonds and other sources of data.
Today’s technology-intensive finance industry is desperate for analysts who bring statistical and programming skills to banks, hedge funds and wealth management offices. The Stevens master’s in Financial Analytics teaches professionals to apply their physics, statistics or engineering skills to the lucrative finance industry. More
Dan is a Ph.D. candidate at Stevens Institute of Technology. His work includes a special emphasis on machine learning and has been partially funded by UBS.
09:00AM - 09:05AM: Introduction 09:05AM - 09:30AM: Virtual Lecture by Dan Wang 09:30AM - 09:40AM: Overview of the Stevens FA Program 09:40AM - 10:00AM: Questions & Answers
Registration is no longer available.
