Treffer: Big data and machine learning in quantitative investment
Titel:
Beteiligt:
Veröffentlicht:
Chichester, West Sussex, United Kingdom : Wiley, [2019]
Vertrieb:
Hoboken, NJ : John Wiley & Sons, Inc.
Umfang:
1 Online-Ressource
Format:
Sprache:
Englisch
Anmerkungen:
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
ISBN:
9781119522089 ; 1119522080 ; 9781119522218 ; 1119522218 ; 9781119522225 ; 1119522226 ; 9781119522195 (Sekundärausgabe)
DOI:
10.1002/9781119522225