by Benjamin Clapham (Editor), Jascha-Alexander Koch (Editor)
About this Book
This book constitutes the revised selected papers from the 10th International Workshop on Enterprise Applications, Markets and Services in the Finance Industry, FinanceCom 2020, held in Helsinki, Finland, in August 2020.
Due to the COVID-19 pandemic the conference took place virtually.
The 6 full papers presented together with 1 extended abstract in this volume were carefully reviewed and selected from a total of 14 submissions to the workshop.They are grouped in topical sections named Machine Learning Applications in Trading and Financial Markets, Fraud Detection and Information Generation in Finance, and Alternative Trading and Investment Offerings by FinTechs.The workshop spans multiple disciplines, including analytical, technical, service, economic, sociological and behavioral sciences.
Brief Contents
Machine Learning Applications in Trading and Financial Markets
- State-of-the-Art in Applying Machine Learning to Electronic Trading
- Using Machine Learning to Predict Short-Term Movements of the Bitcoin Market
- Scalable and Imbalance-Resistant Machine Learning Models for Anti-money Laundering: A Two-Layered Approach
- Leveraging Textual Analyst Sentiment for Investment
- Portfolio Rankings on Social Trading Platforms in Uncertain Times
- What Do Robo-Advisors Recommend? - An Analysis of Portfolio Structure, Performance and Risk
- The Financial Viability of eHealth and mHealth
ASIN : B08P5GJWXZ
Publisher : Springer; 1st ed. 2020 edition (November 25, 2020)
Language : English
Pages : 184