Главная
Study mode:
on
1
Intro
2
Passive and active investing
3
Financial crisis
4
Investment philosophy
5
Fundamental value
6
Pipeline
7
Convolutional Neural Networks
8
Value and Risk
9
Ratings
10
Transparency
11
Communication
12
API
13
Black boxes
14
Inventory
15
Future
16
Portfolio effect
17
Questions
Description:
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.

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

Open Data Science
Add to list