
Автор: Qingquan Tony Zhang, Beibei Li, Danxia Xie
Издательство: Palgrave Macmillan
Год: 2022
Страниц: 340
Язык: английский
Формат: pdf (true), epub
Размер: 28.4 MB
This book introduces a state-of-art approach in evaluating portfolio management and risk based on artificial Intelligence (AI) and alternative data. The book covers a textual analysis of news and social media, information extraction from GPS and IoTs data, and risk predictions based on small transaction data, etc. The book summarizes and introduces the advancement in each area and highlights the Machine Learning (ML) and Deep Learning (DL) techniques utilized to achieve the goals. As a complement, it also illustrates examples on how to leverage the Python package to visualize and analyze the alternative datasets, and will be of interest to academics, researchers, and students of risk evaluation, risk management, data, AI, and financial innovation. Machine Learning techniques include supervised learning (regression, classification), unsupervised learning (factor analysis, clustering), and new technologies for Deep and Reinforcement Learning which are often used to analyze unstructured data and show promise in identifying data patterns in structured data.