YoVDO

They Might Be Robots - Using Data for Investment Management and Trading

Offered By: Open Data Science via YouTube

Tags

Investment Management Courses Data Analysis Courses Risk Management Courses Quantitative Finance Courses Portfolio Management Courses Financial Crisis Courses Fundamental Analysis Courses

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

Economics of Money and Banking, Part One
Columbia University via Coursera
Economics of Money and Banking, Part Two
Columbia University via Coursera
Финансовые рынки и институты (Financial Markets and Institutions)
Higher School of Economics via Coursera
Макроэкономика (Macroeconomics)
Higher School of Economics via Coursera
Understanding Modern Business and Organisations
University of Strathclyde via FutureLearn