Big data and machine learning in quantitative investment / Tony Guida
- Bib ID:
- 8037210
- Format:
- Book
- Author:
- Guida, Tony, 1979-, author
- Online Access:
- http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=1985287
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- Description:
-
- Chichester, West Sussex, United Kingdom : John Wiley & Sons Ltd, [2019]
- 1 online resource.
- ISBN:
-
- 9781119522089 (electronic book)
- 1119522080 (electronic book)
- 9781119522218 (electronic book)
- 1119522218 (electronic book)
- 9781119522225 (electronic book)
- 1119522226 (electronic book)
- Invalid ISBN:
- 9781119522195 (hardcover)
- Series:
- Wiley finance series.
- Notes:
-
- 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.
- Includes bibliographical references and index.
- Description based on online resource; title from digital title page (viewed on March 06, 2019).
- Reproduction:
- Electronic reproduction. Ipswich, MA Available via World Wide Web.
- Subject:
- Other authors/contributors:
- EBSCOhost
- Available From:
- OverDrive, Inc.
- Copyright:
-
In Copyright
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Copyright status was determined using the following information:
- Material type:
- Literary, dramatic or musical work
- Published status:
- Published
- Publication date:
- 2019
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