國立高雄大學圖資館 |

Language: English

Back

Alternative data and artificial intelligence techniquesapplications in investment and risk management /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Alternative data and artificial intelligence techniquesby Qingquan Tony Zhang, Beibei Li, Danxia Xie.
Reminder of title:	applications in investment and risk management /
Author:	Zhang, Qingquan Tony.
other author:	Li, Beibei.
Published:	Cham :Springer International Publishing :2022.
Description:	xxii, 330 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Portfolio managementData processing.
Online resource:	https://doi.org/10.1007/978-3-031-11612-4
ISBN:	9783031116124$q(electronic bk.)

Alternative data and artificial intelligence techniquesapplications in investment and risk management /
Zhang, Qingquan Tony.

Alternative data and artificial intelligence techniquesapplications in investment and risk management /[electronic resource] :by Qingquan Tony Zhang, Beibei Li, Danxia Xie. - Cham :Springer International Publishing :2022. - xxii, 330 p. :ill., digital ;24 cm. - Palgrave studies in risk and insurance,2523-823X. - Palgrave studies in risk and insurance..

Chapter 1: The introduction of the portfolio management and risk evaluation -- Chapter 2: The major trends in financial portfolio management -- Chapter 3: Machine Learning and AI in financial portfolio management -- Chapter 4: Introduction of Alternative data in Finance -- Chapter 5: Alternative Data utilization from country perspective -- Chapter 6: Smart Beta and Risk Factors based on Textural Data and Machine Learning -- Chapter 7: Smart Beta and Risk Factors based on IoTs and AIoTs Data -- Chapter 8: Environmental, Social Responsibility and Corporate Governance on Corporations -- Chapter 9: Case Study - Fraud and Deception Detection: Text-based Data Analytics -- Chapter 10: Case Study - Investment Risk Analysis based on Sentiment Analysis and implementation -- Chapter 11: Case Study - Analyzing the corporation performance with ESG Factors -- Chapter 12: Alternative Data Visualization in Python.

This book introduces a state-of-art approach in evaluating portfolio management and risk based on artificial intelligence 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 and deep learning 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. Qingquan Tony Zhang is an Adjunct Professor at the University of Illinois at Champaign, R.C. Evan Fellow, Gies Business School, focusing on finance, quantitative investment and entrepreneurship. He is President of the Chicago chapter of the Chinese American Association for Trading and Investment, who has long worked in FinTech, including artificial intelligence and big data. Beibei Li is an Associate Professor of IT & Management and Anna Loomis McCandless Chair at Carnegie Mellon University. Dr. Li has extensive experience at leveraging large-scale observational data analytics and experimental analysis with a strong focus on modeling individual user behavior across online, offline, and mobile channels for decision support. Danxia Xie is an Associate Professor in Economics at Tsinghua University, China. Dr. Xie's teaching and research focuses on digital economy, finance, law and economics, and macroeconomics. Dr. Xie has also worked at Peterson Institute for International Economics, a top think tank at Washington, DC.

ISBN: 9783031116124$q(electronic bk.)

Standard No.: 10.1007/978-3-031-11612-4doiSubjects--Topical Terms:

537753
Portfolio management
--Data processing.

LC Class. No.: HG4529.5 / .Z43 2022

Dewey Class. No.: 332.1028563

Alternative data and artificial intelligence techniquesapplications in investment and risk management /
LDR:03874nmm a2200361 a 4500 001 631346
003 DE-He213
005 20221031165257.0
006 m d
007 cr nn 008maaau
008 230411s2022 sz s 0 eng d
020 $a 9783031116124$q(electronic bk.)
020 $a 9783031116117$q(paper)
024 7 $a 10.1007/978-3-031-11612-4 $2 doi
035 $a 978-3-031-11612-4
040 $a GP $c GP
041 0 $a eng
050 4 $a HG4529.5 $b .Z43 2022
072 7 $a KJM $2 bicssc
072 7 $a GPQD $2 bicssc
072 7 $a BUS033070 $2 bisacsh
072 7 $a KJM $2 thema
072 7 $a GPQD $2 thema
082 0 4 $a 332.1028563 $2 23
090 $a HG4529.5 $b .Z63 2022
100 1 $a Zhang, Qingquan Tony. $3 936981
245 1 0 $a Alternative data and artificial intelligence techniques $h [electronic resource] : $b applications in investment and risk management / $c by Qingquan Tony Zhang, Beibei Li, Danxia Xie.
260 $a Cham : $b Springer International Publishing : $b Imprint: Palgrave Macmillan, $c 2022.
300 $a xxii, 330 p. : $b ill., digital ; $c 24 cm.
490 1 $a Palgrave studies in risk and insurance, $x 2523-823X
505 0 $a Chapter 1: The introduction of the portfolio management and risk evaluation -- Chapter 2: The major trends in financial portfolio management -- Chapter 3: Machine Learning and AI in financial portfolio management -- Chapter 4: Introduction of Alternative data in Finance -- Chapter 5: Alternative Data utilization from country perspective -- Chapter 6: Smart Beta and Risk Factors based on Textural Data and Machine Learning -- Chapter 7: Smart Beta and Risk Factors based on IoTs and AIoTs Data -- Chapter 8: Environmental, Social Responsibility and Corporate Governance on Corporations -- Chapter 9: Case Study - Fraud and Deception Detection: Text-based Data Analytics -- Chapter 10: Case Study - Investment Risk Analysis based on Sentiment Analysis and implementation -- Chapter 11: Case Study - Analyzing the corporation performance with ESG Factors -- Chapter 12: Alternative Data Visualization in Python.
520 $a This book introduces a state-of-art approach in evaluating portfolio management and risk based on artificial intelligence 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 and deep learning 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. Qingquan Tony Zhang is an Adjunct Professor at the University of Illinois at Champaign, R.C. Evan Fellow, Gies Business School, focusing on finance, quantitative investment and entrepreneurship. He is President of the Chicago chapter of the Chinese American Association for Trading and Investment, who has long worked in FinTech, including artificial intelligence and big data. Beibei Li is an Associate Professor of IT & Management and Anna Loomis McCandless Chair at Carnegie Mellon University. Dr. Li has extensive experience at leveraging large-scale observational data analytics and experimental analysis with a strong focus on modeling individual user behavior across online, offline, and mobile channels for decision support. Danxia Xie is an Associate Professor in Economics at Tsinghua University, China. Dr. Xie's teaching and research focuses on digital economy, finance, law and economics, and macroeconomics. Dr. Xie has also worked at Peterson Institute for International Economics, a top think tank at Washington, DC.
650 0 $a Portfolio management $x Data processing. $3 537753
650 0 $a Investments $x Decision making. $3 202605
650 0 $a Artificial intelligence. $3 194058
650 0 $a Financial risk management $x Data processing. $3 920438
650 1 4 $a Risk Management. $3 297189
650 2 4 $a Financial Technology and Innovation. $3 918801
650 2 4 $a Investment Appraisal. $3 744569
700 1 $a Li, Beibei. $3 881186
700 1 $a Xie, Danxia. $3 936982
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Palgrave studies in risk and insurance. $3 820769
856 4 0 $u https://doi.org/10.1007/978-3-031-11612-4
950 $a Economics and Finance (SpringerNature-41170)