Abstract
Artificial intelligence techniques include knowledge-based reasoning, machine learning, and natural language processing. The discipline of investing requires data identification, asset valuation, and risk management. Artificial intelligence techniques apply to many aspects of financial investing, and published work has shown an emphasis on the application of knowledge-based techniques for credit risk assessment and machine learning techniques for stock valuation. Knowledge-based, machine learning, and natural language processing techniques are integrated into systems that simultaneously address data identification, asset valuation, and risk management. Future trends will integrate hybrid artificial intelligence techniques into financial investing, portfolio optimization, and risk management.
| Original language | American English |
|---|---|
| Title of host publication | Encyclopedia of Information Science and Technology |
| DOIs | |
| State | Published - 2015 |
Keywords
- SVM
- artificial intelligence
- asset valuation
- case-based reasoning
- decision tree
- evolutionary computing
- expert system
- fuzzy systems
- genetic algorithm
- investing
- neural networks
- risk management
- support vector machines
- swarm intelligence
DC Disciplines
- Engineering
- Computer Sciences