LEADER 04672nam 22006255 450 001 9910624306803321 005 20251009102755.0 010 $a9783031116124 010 $a3031116127 024 7 $a10.1007/978-3-031-11612-4 035 $a(MiAaPQ)EBC7129835 035 $a(Au-PeEL)EBL7129835 035 $a(CKB)25299549400041 035 $a(DE-He213)978-3-031-11612-4 035 $a(EXLCZ)9925299549400041 100 $a20221031d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAlternative Data and Artificial Intelligence Techniques $eApplications in Investment and Risk Management /$fby Qingquan Tony Zhang, Beibei Li, Danxia Xie 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Palgrave Macmillan,$d2022. 215 $a1 online resource (340 pages) 225 1 $aPalgrave Studies in Risk and Insurance,$x2523-823X 311 08$a9783031116117 311 08$a3031116119 327 $aChapter 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. 330 $aThis book introduces a state-of-art approach in evaluating portfolio management and risk based on artificial intelligence and alternative data. The book covers a textual analysis of news and social media, information extraction from GPS and IoTs data, and risk predictions based on small transaction data, etc. The book summarizes and introduces the advancement in each area and highlights the machine learning and deep learning techniques utilized to achieve the goals. As a complement, it also illustrates examples on how to leverage the python package to visualize and analyze the alternative datasets, and will be of interest to academics, researchers, and students of risk evaluation, risk management, data, AI, and financial innovation. Qingquan Tony Zhang is an Adjunct Professor at the University of Illinois at Champaign, R.C. Evan Fellow, Gies Business School, focusing on finance, quantitative investment and entrepreneurship. He is President of the Chicago chapter of the Chinese American Association for Trading and Investment, who has long worked in FinTech, including artificial intelligence and big data. Beibei Li is an Associate Professor of IT & Management and Anna Loomis McCandless Chair at Carnegie Mellon University. Dr. Li has extensive experience at leveraging large-scale observational data analytics and experimental analysis with a strong focus on modeling individual user behavior across online, offline, and mobile channels for decision support. Danxia Xie is an Associate Professor in Economics at Tsinghua University, China. Dr. Xie?s teaching and research focuses on digital economy, finance, law and economics, and macroeconomics. Dr. Xie has also worked at Peterson Institute for International Economics, a top think tank at Washington, DC. 410 0$aPalgrave Studies in Risk and Insurance,$x2523-823X 606 $aFinancial risk management 606 $aFinancial engineering 606 $aValuation 606 $aRisk Management 606 $aFinancial Technology and Innovation 606 $aInvestment Appraisal 615 0$aFinancial risk management. 615 0$aFinancial engineering. 615 0$aValuation. 615 14$aRisk Management. 615 24$aFinancial Technology and Innovation. 615 24$aInvestment Appraisal. 676 $a658.155 676 $a332.1028563 700 $aZhang$b Qingquan Tony$01265561 702 $aLi$b Beibei 702 $aXie$b Danxia 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910624306803321 996 $aAlternative data and artificial intelligence techniques$93071094 997 $aUNINA