They Might Be Robots - Using Data for Investment Management and Trading
Offered By: Open Data Science via YouTube
Course Description
Overview
Explore industry trends and techniques for data-driven portfolio management and active trading in this 39-minute conference talk by Dan Von Kohorn at BDF2015. Gain insights into passive and active investing, financial crisis management, and investment philosophies. Learn about fundamental value assessment, pipeline development, and the application of Convolutional Neural Networks in finance. Discover how to evaluate value and risk, create ratings, and maintain transparency in investment strategies. Understand the importance of communication, APIs, and addressing black box concerns in quantitative investing. Examine inventory management, future projections, and portfolio effects. Conclude with a Q&A session to deepen your understanding of data-driven investment management and trading techniques.
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
Related Courses
Introduction to FinanceUniversity of Michigan via Coursera Information Security and Risk Management in Context
University of Washington via Coursera Financial Engineering and Risk Management
Columbia University via Coursera Building an Information Risk Management Toolkit
University of Washington via Coursera Caries Management by Risk Assessment (CAMBRA)
University of California, San Francisco via Coursera