Overview
This course aims to explore industry trends and techniques for utilizing data in portfolio management and active trading. The course covers topics such as passive and active investing, investment philosophy, fundamental value, convolutional neural networks, ratings, transparency, communication, and API. The teaching method involves a survey of industry trends and techniques. The course is designed for individuals interested in using data for investment management and trading, including hedge fund professionals, institutional investors, and those involved in quantitative finance.
Syllabus
Intro
Passive and active investing
Financial crisis
Investment philosophy
Fundamental value
Pipeline
Convolutional Neural Networks
Value and Risk
Ratings
Transparency
Communication
API
Black boxes
Inventory
Future
Portfolio effect
Questions
Taught by
Open Data Science