語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
到查詢結果
[ subject:"Finance- Data processing." ]
切換:
標籤
|
MARC模式
|
ISBD
Big data in finance = opportunities ...
~
Walker, Thomas.
FindBook
Google Book
Amazon
博客來
Big data in finance = opportunities and challenges of financial digitalization /
紀錄類型:
書目-電子資源 : 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.
出版者:
Cham :Springer International Publishing : : 2022.,
面頁冊數:
xxv, 272 p. :ill. (some col.), digital ;24 cm.
內容註:
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.
Contained By:
Springer Nature eBook
標題:
Finance - Data processing. -
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 finance
opportunities and challenges of financial digitalization /[electronic resource] :edited by Thomas Walker, Frederick Davis, Tyler Schwartz. - Cham :Springer International Publishing :2022. - xxv, 272 p. :ill. (some col.), digital ;24 cm.
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:
657417
Finance
--Data processing.
LC Class. No.: HG173 / .B54 2022
Dewey Class. No.: 332.028557
Big data in finance = opportunities and challenges of financial digitalization /
LDR
:04368nmm a2200325 a 4500
001
2304075
003
DE-He213
005
20221003151544.0
006
m d
007
cr nn 008maaau
008
230409s2022 sz s 0 eng d
020
$a
9783031122408
$q
(electronic bk.)
020
$a
9783031122392
$q
(paper)
024
7
$a
10.1007/978-3-031-12240-8
$2
doi
035
$a
978-3-031-12240-8
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
HG173
$b
.B54 2022
072
7
$a
KFF
$2
bicssc
072
7
$a
BUS027010
$2
bisacsh
072
7
$a
KFF
$2
thema
082
0 4
$a
332.028557
$2
23
090
$a
HG173
$b
.B592 2022
245
0 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.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Palgrave Macmillan,
$c
2022.
300
$a
xxv, 272 p. :
$b
ill. (some col.), digital ;
$c
24 cm.
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
Finance
$x
Data processing.
$3
657417
650
0
$a
Big data.
$3
2045508
650
0
$a
Financial services industry
$x
Technological innovations.
$3
681855
650
1 4
$a
Financial Technology and Innovation.
$3
3591723
650
2 4
$a
Big Data.
$3
3134868
700
1
$a
Walker, Thomas.
$3
3300473
700
1
$a
Davis, Frederick.
$3
3605969
700
1
$a
Schwartz, Tyler.
$3
3605970
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer Nature eBook
856
4 0
$u
https://doi.org/10.1007/978-3-031-12240-8
950
$a
Economics and Finance (SpringerNature-41170)
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9445624
電子資源
11.線上閱覽_V
電子書
EB HG173 .B54 2022
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入