The Financial Data Playbook

By Chris Conlan

The Financial Data Playbook is a compendium of thoughtful business lessons from a career financial machine learning engineer. It offers insights on how to navigate the business expectations and theoretical challenges of modern applied finance.

Each argument is presented as a careful mathematical discussion that illustrates how investors, executives, and engineers think about and allocate resources to high-risk high-reward research and development projects.

Readers will learn about:

Measuring the business value of improving model accuracyImproving the accuracy and validity of investment performance simulationsEstimating the amount of data required to improve a modelChoosing the right model for the dataComparing the performance of modern and legacy methodsAccounting for counter-party expectations to improve accuracyAnd more ...

This book is written for finance and data business managers who want to maximize their financial data science R&D investment by understanding the opportunities and constraints presented by recent advances in financial machine learning.

• Format: Paperback
• Language: English
• ISBN: B09BYDNSWH
• ISBN13: 9798534050783
• Release Date: August 2021
• Publisher: Independently Published
• Length: 94 Pages
• Weight: 0.30 lbs.
• Dimensions: 0.2" x 6.0" x 9.0"