The Financial Data Playbook (Algorithmic Trading) - Softcover

Conlan, Chris

Softcover

ISBN 13: 9798534050783

Verlag: Independently published, 2021

Inhaltsangabe

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 accuracy
• Improving the accuracy and validity of investment performance simulations
• Estimating the amount of data required to improve a model
• Choosing the right model for the data
• Comparing the performance of modern and legacy methods
• Accounting for counter-party expectations to improve accuracy
• And 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.

Details zur Ausgabe

• Verlag: Independently published
• Erscheinungsdatum: 2021
• Sprache: Englisch
• ISBN 13: 9798534050783
• Einband: Taschenbuch
• Anzahl der Seiten: 92
• Kontakt zum Hersteller: Manufactured by Amazon on behalf of the author; https://www.amazon.de/hz/contact-us; ; c/o Amazon Media EU S.à.r.l., 38 Avenue John F. Kennedy; Luxembourg; L-1855; Luxemburg