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200 10$aBeauty will save the world $erecovering the human in an ideological age /$fGregory Wolfe
210 1$aWilmington, Delaware :$cISI Books,$d[2013]
210 4$d©2013
215 $a1 online resource (481 p.)
300 $aIncludes index.
311 $a1-61017-100-4
327 $aCover; Title; Dedication; Contents; Prologue: The Four Cultures and Me; PART ONE: FROM IDEOLOGY TO HUMANISM; 1. Beauty Will Save the World; 2. A Portrait of the Editor as a Young Man; 3. Art, Faith, and the Stewardship of Culture; 4. Christian Humanism: A Faith for All Seasons; PART TWO: CHRISTIANITY, LITERATURE, AND MODERNITY; 5. The Writer of Faith in a Fractured Culture; 6. Ever Ancient, Ever New: The Catholic Writer in the Modern World; 7. After This Our Exile: The Christian Poet in the Modern World; 8. The End in the Beginning: The Paradox of Artistic Creativity; PART THREE: SIX WRITERS
327 $a9. Evelyn Waugh: Savage Indignation10. Shusaku Endo: At the Crossroads between East and West; 11. Geoffrey Hill: True Sequences of Pain; 12. Andrew Lytle: Myth and Memory; 13. Wendell Berry: Marriage to a Place; 14. Larry Woiwode: The Overwhelming Question; PART FOUR: THREE ARTISTS; 15. Fred Folsom: Grace à Go-Go; 16. Mary McCleary: Constructing Paradox; 17. Makoto Fujimura: Refiner's Fire; PART FIVE: FOUR MEN OF LETTERS; 18. Russell Kirk: Politics and the Imagination; 19. Gerhart Niemeyer: Discerning the Spirits; 20. Malcolm Muggeridge: Slow Pilgrim; 21. Marion Montgomery: Being and Metaphor
327 $aNotesAcknowledgments; Index; Copyright
330 $a
Culture, Not Politics
606 $aAesthetics
606 $aChristian literature$xHistory and criticism
606 $aHumanity
615 0$aAesthetics.
615 0$aChristian literature$xHistory and criticism.
615 0$aHumanity.
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200 10$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.
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