Big data and machine learning in quantitative investment /
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| Format: | eBook |
| Language: | English |
| Published: |
Chichester, West Sussex, United Kingdom :
John Wiley & Sons Ltd,
[2019]
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| Series: | Wiley finance series.
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Item Description: | Machine generated contents note: Chapter 1: Do algorithms dream about artificial alphas? Chapter 2: Taming Big data Chapter 3: State of machine learning applications in investment management Chapter 4: Implementing alternative data in an investment Process Chapter 5: Using alternative and Big Data to trade macro assets Chapter 6: Big is beautiful: How email receipt data can help predict company sales Chapter 7: Ensemble learning applied to quant equity: gradient boosting in a multi-factor framework Chapter 8: A social media analysis of corporate culture Chapter 9: Machine Learning & Event Detection for Trading Energy Futures Chapter 10: Natural language processing of financial news Chapter 11: Support-Vector-Machine Based Global Tactical Asset Allocation Chapter 12: Reinforcement learning in finance Chapter 13: Deep learning in Finance: Prediction of stock returns with long short term memory networks Biography of contributors. Electronic resource. |
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| Physical Description: | 1 online resource. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781119522089 1119522080 9781119522218 1119522218 9781119522225 1119522226 |