001450851 000__ 04962cam\a2200589\a\4500
001450851 001__ 1450851
001450851 003__ OCoLC
001450851 005__ 20230310004547.0
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001450851 007__ cr\un\nnnunnun
001450851 008__ 221103s2022\\\\sz\\\\\\ob\\\\001\0\eng\d
001450851 019__ $$a1350469732
001450851 020__ $$a9783031116124$$q(electronic bk.)
001450851 020__ $$a3031116127$$q(electronic bk.)
001450851 020__ $$z3031116119
001450851 020__ $$z9783031116117
001450851 0247_ $$a10.1007/978-3-031-11612-4$$2doi
001450851 035__ $$aSP(OCoLC)1349563139
001450851 040__ $$aYDX$$beng$$cYDX$$dGW5XE$$dFIE$$dEBLCP$$dOCLCF$$dN$T$$dUKAHL
001450851 049__ $$aISEA
001450851 050_4 $$aHG4529.5
001450851 08204 $$a332.1028563$$223/eng/20221111
001450851 1001_ $$aZhang, Qingquan Tony,$$eauthor.
001450851 24510 $$aAlternative data and artificial intelligence techniques :$$bapplications in investment and risk management /$$cQingquan Tony Zhang, Beibei Li, Danxia Xie.
001450851 260__ $$aCham, Switzerland :$$bPalgrave Macmillan,$$c2022.
001450851 300__ $$a1 online resource.
001450851 336__ $$atext$$btxt$$2rdacontent
001450851 337__ $$acomputer$$bc$$2rdamedia
001450851 338__ $$aonline resource$$bcr$$2rdacarrier
001450851 4901_ $$aPalgrave studies in risk and insurance
001450851 504__ $$aIncludes bibliographical references and index.
001450851 5050_ $$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.
001450851 506__ $$aAccess limited to authorized users.
001450851 520__ $$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. Xies 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.
001450851 588__ $$aDescription based on print version record.
001450851 650_0 $$aPortfolio management$$xData processing.
001450851 650_0 $$aInvestments$$xDecision making.
001450851 650_0 $$aArtificial intelligence.
001450851 650_0 $$aFinancial risk management$$xData processing.
001450851 655_0 $$aElectronic books.
001450851 7001_ $$aLi, Beibei,$$eauthor.
001450851 7001_ $$aXie, Danxia,$$eauthor.
001450851 77608 $$iPrint version:$$z9783031116124
001450851 77608 $$iPrint version:$$z3031116119$$z9783031116117$$w(OCoLC)1330688574
001450851 77608 $$iPrint version:$$aZHANG, QINGQUAN TONY. LI, BEIBEI. XIE, DANXIA.$$tALTERNATIVE DATA AND ARTIFICIAL INTELLIGENCE TECHNIQUES.$$d[S.l.] : PALGRAVE MACMILLAN, 2022$$z3031116119$$w(OCoLC)1330688574
001450851 830_0 $$aPalgrave studies in risk and insurance.
001450851 852__ $$bebk
001450851 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-11612-4$$zOnline Access$$91397441.1
001450851 909CO $$ooai:library.usi.edu:1450851$$pGLOBAL_SET
001450851 980__ $$aBIB
001450851 980__ $$aEBOOK
001450851 982__ $$aEbook
001450851 983__ $$aOnline
001450851 994__ $$a92$$bISE