國立虎尾科技大學 |

Big Data in Finance = Opportunities and Challenges of Financial Digitalization /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Big Data in Finance/ edited by Thomas Walker, Frederick Davis, Tyler Schwartz.
其他題名:	Opportunities and Challenges of Financial Digitalization /
其他作者:	Walker, Thomas.
面頁冊數:	XXV, 272 p. 41 illus., 31 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Financial engineering. -
電子資源:	https://doi.org/10.1007/978-3-031-12240-8
ISBN:	9783031122408

Big Data in Finance = Opportunities and Challenges of Financial Digitalization /
Big Data in FinanceOpportunities and Challenges of Financial Digitalization /[electronic resource] :edited by Thomas Walker, Frederick Davis, Tyler Schwartz. - 1st ed. 2022. - XXV, 272 p. 41 illus., 31 illus. in color.online resource.

Chapter 1: Big Data in Finance: An Overview -- SECTION I: BIG DATA IN THE FINANCIAL MARKETS -- Chapter 2: Alternative Data -- Chapter 3: An Algorithmic Trading Strategy to Balance Profitability and Risk -- Chapter 4: High-Frequency Trading and Market Efficiency in the Moroccan Stock Market -- Chapter 5: Ensemble Models using Symbolic Regression and Genetic Programming for Uncertainty Estimation in ESG and Alternative Investments -- SECTION II: BIG DATA IN FINANCIAL SERVICES -- Chapter 6: Consumer Credit Assessments in the Age of Big Data -- Chapter 7; Robo-Advisors: A Big Data Challenge -- Chapter 8: Bitcoin: Future or Fad? -- Chapter 9: Culture, Digital Assets, and the Economy: A Trans-National Perspective -- SECTION III: CASE STUDIES AND APPLICATIONS -- Chapter 10: Islamic Finance in Canada Powered by Big Data: A Case Study -- Chapter 11: Assessing the Carbon Footprint of Cryptoassets: Evidence from a Bivariate VAR Model -- Chapter 12:A Data-informed Approach to Financial Literacy Enhancement using Cognitive & Behavioral Analytics.

This edited book explores the unique risks, opportunities, challenges, and societal implications associated with big data developments within the field of finance. While the general use of big data has been the subject of frequent discussions, this book will take a more focused look at big data applications in the financial sector. With contributions from researchers, practitioners, and entrepreneurs involved at the forefront of big data in finance, the book discusses technological and business-inspired breakthroughs in the field. The contributions offer technical insights into the different applications presented and highlight how these new developments may impact and contribute to the evolution of the financial sector. Additionally, the book presents several case studies that examine practical applications of big data in finance. In exploring the readiness of financial institutions to adapt to new developments in the big data/artificial intelligence space and assessing different implementation strategies and policy solutions, the book will be of interest to academics, practitioners, and regulators who work in this field. Thomas Walker is a Full Professor of Finance and the Concordia University Research Chair in Emerging Risk Management at Concordia University, Montreal, Canada. Prior to academia, he worked for several years in the German consulting and industrial sector at Mercedes Benz, Utility Consultants International, Lahmeyer International, Telenet, and KPMG Peat Marwick. Frederick Davis is an Associate Professor at the John Molson School of Business at Concordia University, Montreal, Canada. Prior to his academic career, he worked for several years in the government sector assisting communities with their economic development. His research interests include mergers and acquisitions, insider trading, big data, and other aspects of corporate finance. Tyler Schwartz holds an MSc degree in Data Science and Business Analytics from HEC Montreal. He has served as a research assistant in the Department of Finance at Concordia University for over four years and is the co-author of an edited book collection on climate change adaptation as well as working papers on social impact bonds and the Sustainable Development Goals (SDGs).

ISBN: 9783031122408

Standard No.: 10.1007/978-3-031-12240-8doiSubjects--Topical Terms:

591542
Financial engineering.

LC Class. No.: HG176.7

Dewey Class. No.: 332

Big Data in Finance = Opportunities and Challenges of Financial Digitalization /
LDR:04764nam a22004095i 4500 001 1083942
003 DE-He213
005 20221003151544.0
007 cr nn 008mamaa
008 221228s2022 sz | s |||| 0|eng d
020 $a 9783031122408 $9 978-3-031-12240-8
024 7 $a 10.1007/978-3-031-12240-8 $2 doi
035 $a 978-3-031-12240-8
050 4 $a HG176.7
072 7 $a KFF $2 bicssc
072 7 $a BUS027010 $2 bisacsh
072 7 $a KFF $2 thema
082 0 4 $a 332 $2 23
082 0 4 $a 658.15 $2 23
245 1 0 $a Big Data in Finance $h [electronic resource] : $b Opportunities and Challenges of Financial Digitalization / $c edited by Thomas Walker, Frederick Davis, Tyler Schwartz.
250 $a 1st ed. 2022.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Palgrave Macmillan, $c 2022.
300 $a XXV, 272 p. 41 illus., 31 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
505 0 $a Chapter 1: Big Data in Finance: An Overview -- SECTION I: BIG DATA IN THE FINANCIAL MARKETS -- Chapter 2: Alternative Data -- Chapter 3: An Algorithmic Trading Strategy to Balance Profitability and Risk -- Chapter 4: High-Frequency Trading and Market Efficiency in the Moroccan Stock Market -- Chapter 5: Ensemble Models using Symbolic Regression and Genetic Programming for Uncertainty Estimation in ESG and Alternative Investments -- SECTION II: BIG DATA IN FINANCIAL SERVICES -- Chapter 6: Consumer Credit Assessments in the Age of Big Data -- Chapter 7; Robo-Advisors: A Big Data Challenge -- Chapter 8: Bitcoin: Future or Fad? -- Chapter 9: Culture, Digital Assets, and the Economy: A Trans-National Perspective -- SECTION III: CASE STUDIES AND APPLICATIONS -- Chapter 10: Islamic Finance in Canada Powered by Big Data: A Case Study -- Chapter 11: Assessing the Carbon Footprint of Cryptoassets: Evidence from a Bivariate VAR Model -- Chapter 12:A Data-informed Approach to Financial Literacy Enhancement using Cognitive & Behavioral Analytics.
520 $a This edited book explores the unique risks, opportunities, challenges, and societal implications associated with big data developments within the field of finance. While the general use of big data has been the subject of frequent discussions, this book will take a more focused look at big data applications in the financial sector. With contributions from researchers, practitioners, and entrepreneurs involved at the forefront of big data in finance, the book discusses technological and business-inspired breakthroughs in the field. The contributions offer technical insights into the different applications presented and highlight how these new developments may impact and contribute to the evolution of the financial sector. Additionally, the book presents several case studies that examine practical applications of big data in finance. In exploring the readiness of financial institutions to adapt to new developments in the big data/artificial intelligence space and assessing different implementation strategies and policy solutions, the book will be of interest to academics, practitioners, and regulators who work in this field. Thomas Walker is a Full Professor of Finance and the Concordia University Research Chair in Emerging Risk Management at Concordia University, Montreal, Canada. Prior to academia, he worked for several years in the German consulting and industrial sector at Mercedes Benz, Utility Consultants International, Lahmeyer International, Telenet, and KPMG Peat Marwick. Frederick Davis is an Associate Professor at the John Molson School of Business at Concordia University, Montreal, Canada. Prior to his academic career, he worked for several years in the government sector assisting communities with their economic development. His research interests include mergers and acquisitions, insider trading, big data, and other aspects of corporate finance. Tyler Schwartz holds an MSc degree in Data Science and Business Analytics from HEC Montreal. He has served as a research assistant in the Department of Finance at Concordia University for over four years and is the co-author of an edited book collection on climate change adaptation as well as working papers on social impact bonds and the Sustainable Development Goals (SDGs).
650 0 $a Financial engineering. $3 591542
650 0 $a Big data. $3 981821
650 1 4 $a Financial Technology and Innovation. $3 1388433
650 2 4 $a Big Data. $3 1017136
700 1 $a Walker, Thomas. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1282003
700 1 $a Davis, Frederick. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1390090
700 1 $a Schwartz, Tyler. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1390091
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783031122392
776 0 8 $i Printed edition: $z 9783031122415
776 0 8 $i Printed edition: $z 9783031122422
856 4 0 $u https://doi.org/10.1007/978-3-031-12240-8
912 $a ZDB-2-ECF
912 $a ZDB-2-SXEF
950 $a Economics and Finance (SpringerNature-41170)
950 $a Economics and Finance (R0) (SpringerNature-43720)