Fintech: the new DNA of financial services
Gespeichert in:
Hauptverfasser: | , |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Boston ; Berlin
de Gruyter Press
[2019]
|
Schlagworte: | |
Online-Zugang: | http://www.degruyter.com/search?f_0=isbnissn&q_0=9781547417087&searchTitles=true https://www.degruyter.com/doc/cover/9781547417087.jpg Inhaltsverzeichnis |
Beschreibung: | xxxi, 514 Seiten Illustrationen, Diagramme 24 cm x 17 cm, 1046 g |
ISBN: | 9781547417087 1547417080 |
Internformat
MARC
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Datensatz im Suchindex
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adam_text | Contents
Parti: An Overview of Fintech--------------1
Chapter 1: Fintech and the Disruption of Financial Services-3
The Ecosystem of Financial Services Intermediaries — 3
Basic Skills of the Fintech Revolution-5
The Evolution of Financial Services Activities-5
Compliance Processes------5
Transaction Processing----5
Insurance Calculations----6
Investment and Risk Management Decisions------6
Investment Solutions------6
Financing Solutions---6
The Journey of Evolution for Financial Services Organizations-7
Chapter 2: Fintech in the Context of the Digital Economy-9
Fintech Startups----9
The 10 Stacks of a Digital Economy-----10
#1 Trusted Digital Identity--10
#2 Trusted Digital Data---11
#3 Customer Consent Architecture-----11
#4 Public Infrastructure for the Digital Economy--12
#5 Data Residency Policies---13
#6 Scaled Computing-------13
#7 Open Architecture------13
#8 Digital Literacy, Talent and Entrepreneur Growth--15
#9 Policy Making by Experimentation and Empirical Data-----16
#10 Cyber-security----16
The Impact of Policymaking on the Journey of Fintech-18
Challenges in the Fintech Journey--19
Implementation of New Technology to Develop New Products and
Services--------19
Deployment of New Products and Services within the Physical
Ecosystem---------19
Speed of Adoption and Consumption of Fintech-based Products and
Services--------19
Chapter 3: The Landscape of Fintech----21
Why Is the World Interested in Fintech Now?----21
Landscape and Trends-----23
xvill —— Contents
Funding Trends------23
Investor Trends-----27
How Banks Are Responding------28
Banks Are Driving a “Technology-First” Agenda----29
The Move Toward Greater Digitalization and Ecosystem Platforms
Conclusion-----33
Part 2: Enablers of a Digital Economy------------35
Chapter 4: Digital Identity--37
Why We Need Digital Identities--37
Components of Digital Identity--38
The Market for Personal Digital identity Management--39
Problems Solved by Digital Identity-39
Enhanced Efficiency and Reduced Risk-----39
Power Complete Digitization----40
The Impact of Digital Identity on Business Models-40
Issues Concerning Digital Identity Management----41
A Digital Identity Application Use Case: Aadhaar-41
Why Was Aadhaar Conceived?------41
The Evolution of Aadhaar----42
Aadhaar-based Authentication----44
The Role of Technology in the Authentication Process--45
The Issues and Concerns Regarding Aadhaar-----46
How Successful Has Aadhaar Been?------46
Chapter 5: The Importance of Cloud Computing----49
It Can Rain Too---49
Governmental Access------50
The Cloud and Data Science-----50
The Cloud Services---51
The Private Cloud----53
The Public Cloud-----54
Hybrid Clouds----54
Why Implement a Cloud?------55
Why Not Use the Cloud?------56
Mitigating Risk---58
The Cloud Life Cycle-60
Cloud Architecture---61
Serverless Computing-----63
DevOps------63
Contents ----- xix
The DevOps Maturity Model-----66
Compliance----66
Cloud Security---67
Levels of Security---68
Chapter 6: Data Science and Big Data----71
Applications of Data Science and Big Data-72
What Is Data Science?----73
Machine Learning vs. Artificial Intelligence-75
What Data Science Is Not---75
What Is Big Data?----76
Data Science and Big Data in Industry Practice---76
Step 1—Defining the Problem-----77
Step 2—Data Collection---79
Step 3—Data Preparation----82
Step 4—Modeling------88
Step 5—Experimentation-----94
Big Data Technology Stack----96
Data Collection Toolkit--97
Data Processing Toolkit--99
Data Workflow Toolkit----100
Challenges and Lessons from Data Science Projects--101
Conclusion----102
Chapter 7: Blockchain and Distributed Ledger Technology 2.0--105
Emerging from the Shadows of the Internet-106
Blockchain Technology Architecture--108
Blockchain—How It Works------110
Private vs Public Blockchains—A Closer Look--112
Private Blockchain Technology—What Is Next?------116
The Way Forward with Blockchains----116
Chapter 8: Use Cases of Blockchain Technology in Financial Services-119
What Is Currently at Stake?--119
Use Case: Payments-----121
Problem Statement----121
Application of Blockchain Technology--122
Implementation Examples----123
Use Case: Workflow Tracking and Supply Chain Management----123
Problem Statement----123
Application of Blockchain Technology--124
Implementation Examples----125
XX ----- Contents
Use Case: KYC (Know Your Customer) Process----126
Problem Statement-----126
Application of Blockchain Technology---126
Implementation Examples-------128
Use Case: Tokenization of Investment, Consumption and Physical
Assets----128
Problem Statement-----128
Application of Blockchain Technology---129
Implementation Examples-------130
Use Case: Exchanges and Post-trade Settlement-----131
Problem Statement-----131
Application of Blockchain Technology---131
Implementation Examples-------133
Use Case: Parametric Insurance----133
Problem Statement-----133
Application of Blockchain Technology---133
Implementation Examples-------134
Looking Ahead-----134
Chapter 9: Cryptoassets-----137
Introducing Cryptoassets--137
What Is a Cryptoasset?---137
Traditional Financial Assets vs. Cryptoassets-139
Cryptoasset Terminology----139
Evolution of Cryptoassets-141
Blockchain 1.0----141
Blockchain 2.0----143
Blockchain 3.0----144
Real World Assets on the Blockchain----145
Initial Coin Offerings (ICO): A New Way of Fundraising?-145
Drawbacks of Cryptoassets: “Blockchain, not Bitcoin”----147
Why Are Tokens Necessary?-----148
Possibilities of Tokenization-148
The Cryptoasset Ecosystem----149
Cryptofinance----150
Case Study: QCP Capital and Trading Cryptoassets----150
Online Communities----151
Emerging Blockchain Hubs------152
What’s Next?----152
Chapter 10: Open Banking: Digital Payments Systems-----155
A Changing Landscape------155
Contents
xxi
What Is Open Banking?-----156
Open Banking Regulation and Adoption-----157
Essentials for Operating in the Open Banking Space--159
Compliance and Competitive Threats----159
Open Banking Adoption Challenges------162
Open APIs----164
Leveraging the Open Banking/Digital Payments Opportunity----166
API Strategy----166
Collaboration and Aggregation---168
Open Banking Ecosystem------171
Life Stage Management-----172
Digital Payments for the Digital Customer-174
New Technologies Positively Impact Customers----174
Changes to the Payments Landscape-----176
Chapter 11: Theories of Artificial Intelligence and : Machine Learning-179
Al Techniques and Tools----181
Search Algorithms----181
Genetic Algorithm----184
Artificial Neural Networks (ANNs)--187
Fuzzy Logic Systems (FLS)---188
Natural Language Processing (NLP)-----189
Expert Systems (ES)----190
Robotics-----192
Reinforcement Learning (RL)---193
Deep Learning(DL)------195
Al in Financial Services: Present and Future Applications-199
Al Algorithmic Trading----200
Robo-Advisors-----200
Chatbots-----201
Fraud Detection---201
Loan/lnsurance Underwriting-----201
Chapter 12: A Practical Approach to Machine Learning (ML) and Artificial
Intelligence (Al)-------------205
Are Al and Machine Learning the Same Thing?----205
Machine Learning Covers a Lot---206
Neural Networks Are a Special Type of Machine Learning--207
Should We Always Use Neural Networks?----209
Reasons Not to Use Neural Networks Every Time---211
The Simple Alternatives to Neural Networks---212
Linear Is Straightforward---212
xxii ----- Contents
Trees Are Understandable----213
Putting It into Practice-214
Tools of the Trade---214
Frameworks to Focus on Solutions---214
Creating Your First ML Solution-215
Automation of Automation----219
How Software Is Currently Created--220
How (Simple) Machine Learning Can Help You Create Better
Software---------221
Teach Logic to Your Software--221
Automation of Machine Learning Itself--222
Part 3: Fintech Innovations and Disruptions--------------225
Chapter 13: Disruption in Asset Servicing--227
The Asset Management Sector Is Ripe for Disruption---227
Disruptive Technologies---228
Blockchain----228
Robotic Process Automation (RPA)---232
Cognitive Technology----234
Preparing for the Wave of Disruption-236
Possible Outcomes-----237
Chapter 14: Disruption in the Capital Markets--241
How Did We Get Here?-----242
What’s Happening Now?-----244
Equities---245
Foreign Exchange-----247
Fixed Income----249
Open Banking------252
The Future-----254
Case Study—Saxo-----256
Chapter 15: Disruption in Investment Management-----259
The Transition Toward Outcome-Oriented Absolute Return Products
Transition Toward Allocation as the Central Investment Problem-
Implementation of Multiple Concurrent Allocation Investment
Processes--------262
Diversity in Allocation Investment Processes-262
Change in the Asset Owner Portfolio Structure-264
Change in the Asset Owner Portfolio Process--265
---260
261
Contents -----
Redefinition of the Concept of Asset Class Risk Premium--266
The Transition to an Exposure-based Framework----267
Creation of Large Number of Indices as Passive Product Benchmarks---268
Redefinition of Risk Measures to Include Intra-horizon Risk-269
Asset Management Distribution to Change from Product-centric to Client-
centric-------270
Incorporation of Technology in the Investment Model---271
Implications of the New Investment Model----273
Chapter 16: Alternative Data in Portfolio Management----275
A Paradigm Shift in Active Investing--275
The History: 30 Years of Quantitative Investing-276
The Future of Active Investing—Big Data Evolution---280
Using Satellite Imagery Data in Sales Forecasting---282
A Brief Introduction---282
An Example: Chipotle Mexican Grill, Inc. (CMG)--286
Natural Language Processing and Management Presentation-----287
Readability Index and Language Complexity----289
Sentiment or Tone Analysis Based on Lexicons----291
Conclusion----294
Chapter 17: Online Marketplace Lending----297
US-----297
China-----297
Institutional Investors---298
New Borrowers-----298
Requirements for Online Marketplace Lending----299
Borrower Data-----299
Historical Default Rates--299
Risk Framework----300
Machine Learning Platform----300
Case Study: Applying Machine Learning to Online Marketplace Lending----3
Business Case and Data Model------301
Identifying Patterns---301
Deployment and Iteration-----302
Comparison of US and Chinese Online Marketplace Lending-----303
Customer Segmentation-----304
Customer Acquisition------305
Charge-offs----305
Cost of Funding---306
xxiv — Contents
Chapter 18: Lending and Crowdfunding---309
Crowdfunding and Its Entry into Lending---309
Importance of Debt-based Crowdfunding-----310
Lower Cost to Serve---310
Greater Accuracy and Access----310
Impact across the Globe and In Southeast Asia--311
Digital Crowdfunding Technology----312
The Early Days---313
Moving Past the Minimum Viable Product into Growth---313
Key Pieces of Technology in a Digital Crowdfunding Firm-314
Applications Developed at Funding Societies | Modalku--317
A Competitive and Evolving Market--319
Evolution in Digital Crowdfunding Technology--320
From Crowdfunding to Digital Financing Everywhere---322
Conclusion----323
Chapter 19: Robo-Advisory and Multi-Asset Allocation-327
What Is Robo-Advisory About?----327
Pain Points Addressed by Robo-Advisory---328
A Brief History of Robo-Advisory (including B2B vs B2C vs B2B2C)-
Why Is Robo-Advisory Important?----330
Bringing Significant Changes to the Wealth Management Industry
Helping People in Personal Financial Management-----330
How Does Robo-Advisory Work?----332
Introduction to Robo-Advisors’Technology---332
Digital Financial Advice-332
Automated Fund Management------333
Limitations---334
How Can Robo-Advisors Reduce Costs? —- 335
How Can Robo-Advisors Improve Quality?---335
Applications: The StashAway Case--336
Competitive Landscape----337
The US Landscape------337
The Rest of the World---339
How Is This Technology Likely to Evolve?-340
Is Robo-Advisory Here to Stay?-340
How Will the Products and Technology Change?--341
Implications for Current Business Models and Processes-342
Impact on Existing Models---342
Options Available for Incumbents--343
How to “Skills Future-proof” the Workforce-343
Conclusions----344
329
■330
Contents ----- XXV
Chapter 20: WealthTech-------347
Asia and Greater China---347
WealthTech versus Traditional Wealth Management------348
The Changes Taking Place in Asia----349
Customer Demand------350
Regulatory Change----351
New Product Evolution----353
Operational Efficiency---354
The Cutting Edge----357
Artificial Intelligence--357
Big Data-----359
Blockchain-----361
Cloud Computing------362
How Wealth Management Business Models Are Changing-------363
The Rise of Bionic Advisory--363
Client Acquisition and Engagement----365
Provision of Advice--366
Looking to China: New Ecosystems-----367
Looking into the Digital Crystal Ball-369
Chapter 21: RegTech: We are coming out of Fintech!---373
Putting RegTech in Context---373
RegTechs to the Rescue---374
Ecosystem and Trends-----376
Landscape of RegTechs----376
Ecosystem: Who Are the Stakeholders and Why?-----381
FI Applications Adoption---383
Case Example: Silent Eight---384
Adoption-----385
Challenges to Adoption---386
The Future: At the Tipping Point of Adoption--387
RegTech Associations-----392
Conclusion-----393
Chapter 22: Digitalizing the Client Lifecycle and KYC/AML with RegTech
What’s Wrong with Client Lifecycle Management Today?-----396
The Future of CLM Is Digitalization-400
What Does Digitalization Actually Mean?---400
So Where Are We in Tech Evolution?---400
Pivot versus Disruptive--401
Pivot Innovation-----402
Centralize for Re-Use----
395
404
xxvi
Contents
Embracing Disruptive Technologies----409
Five Ways to Apply Disruptive Technology to AML/KYC-----411
Robotics Process Automation (RPA)----414
Key Success Factors for Digitalizing Client Lifecycle Management--416
Conclusion------417
Chapter 23: InsurTech: Using China as an Example------421
Introduction----421
What Is InsureTech?-----421
Trends and Challenges-----423
Technology Enablers and Applications------424
Digital----425
Artificial Intelligence and Big Data-426
Blockchain-----429
Mobile loT----432
Market Landscape------433
Future of InsurTech---437
Part 4: The Impact of Fintech-----------441
Chapter 24: Technology and the Dislocation of the Fast Moving Consumer Goods
Industry-----------------443
Chapter 25: Legal Implications of Fintech---453
The Challenge: How and Why to Regulate Fintech----453
The Digital Customer Journey----454
Due Diligence----456
Marketing and Design Considerations-----457
Pricing/Quoting----461
Advisory Services----462
Purchasing the Product or Service---463
Data Storage---465
Customer Complaints-----467
Ongoing Customer Relationship-----467
Smart Nations: Collaboration and Competition Between Jurisdictions---468
Collaboration----468
Competition----469
Future Developments------471
Conclusions-----472
Chapter 26: Talent Development and HR Implications for Fintech----475
Talent Development Infrastructure and Pipeline in Singapore---476
Contents ----- xxvii
Developing Fintech Capabilities---476
Workforce Demand and Supply Gap-------476
International Talent Attraction Targeting Fintech Start-ups and
Experts---------477
Talent Development in Institutions of Higher Learning----477
Talent Development through Trade Associations, Organizations, and
Government Agencies----------478
Understanding Fintech Roles, Skills, Sentiments, and Priorities of the Banking
and Financial Community----------478
Traditional Technology and Operations Roles versus Emerging Fintech
Roles---------478
Contextual Application and Disruptive Innovation Impact: Differential
Factors for Fintech Skills in Demand--479
institute of Banking and Finance (IBF) Future-Enabled Skills-480
Industry Sentiments and Priorities----480
An Integrated and Multimodal Approach for Effective Fintech Skills
Development---------482
Recognizing and Redefiningthe Components of a Fintech Skill----482
Developing Fintech Skills----483
Human Resources Trends for Fintech Talent in the Near Future--485
Conclusion-----486
Index
489
|
any_adam_object | 1 |
author | Gupta, Pranay 1966- Tham, T. Mandy |
author_GND | (DE-588)1155331079 (DE-588)1021395390 |
author_facet | Gupta, Pranay 1966- Tham, T. Mandy |
author_role | aut aut |
author_sort | Gupta, Pranay 1966- |
author_variant | p g pg t m t tm tmt |
building | Verbundindex |
bvnumber | BV045353188 |
classification_rvk | QK 305 |
ctrlnum | (OCoLC)1078873737 (DE-599)DNB116255374X |
discipline | Wirtschaftswissenschaften |
format | Book |
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id | DE-604.BV045353188 |
illustrated | Illustrated |
indexdate | 2024-07-10T08:15:46Z |
institution | BVB |
institution_GND | (DE-588)2036938-4 |
isbn | 9781547417087 1547417080 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030739827 |
oclc_num | 1078873737 |
open_access_boolean | |
owner | DE-706 DE-384 DE-355 DE-BY-UBR DE-739 DE-2070s DE-20 DE-92 DE-703 DE-N2 DE-1043 DE-M382 DE-898 DE-BY-UBR |
owner_facet | DE-706 DE-384 DE-355 DE-BY-UBR DE-739 DE-2070s DE-20 DE-92 DE-703 DE-N2 DE-1043 DE-M382 DE-898 DE-BY-UBR |
physical | xxxi, 514 Seiten Illustrationen, Diagramme 24 cm x 17 cm, 1046 g |
publishDate | 2019 |
publishDateSearch | 2019 |
publishDateSort | 2019 |
publisher | de Gruyter Press |
record_format | marc |
spelling | Gupta, Pranay 1966- Verfasser (DE-588)1155331079 aut Fintech the new DNA of financial services Pranay Gupta and T. Mandy Tham Boston ; Berlin de Gruyter Press [2019] xxxi, 514 Seiten Illustrationen, Diagramme 24 cm x 17 cm, 1046 g txt rdacontent n rdamedia nc rdacarrier Finanzdienstleistung (DE-588)4212226-0 gnd rswk-swf Finanztechnologie (DE-588)1115819186 gnd rswk-swf Fintech, Wealthtech, Insure-tech, Health-tech, Startup, Blockchain, Data science, Crowdfunding, Cyberassets, Automation, Regulation, AI Finanztechnologie (DE-588)1115819186 s Finanzdienstleistung (DE-588)4212226-0 s b DE-604 Tham, T. Mandy Verfasser (DE-588)1021395390 aut Walter de Gruyter Inc. (DE-588)2036938-4 pbl Erscheint auch als Online-Ausgabe, PDF 978-1-5474-0090-4 Erscheint auch als Online-Ausgabe, EPUB 978-1-5474-0092-8 X:MVB http://www.degruyter.com/search?f_0=isbnissn&q_0=9781547417087&searchTitles=true X:MVB https://www.degruyter.com/doc/cover/9781547417087.jpg Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030739827&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
spellingShingle | Gupta, Pranay 1966- Tham, T. Mandy Fintech the new DNA of financial services Finanzdienstleistung (DE-588)4212226-0 gnd Finanztechnologie (DE-588)1115819186 gnd |
subject_GND | (DE-588)4212226-0 (DE-588)1115819186 |
title | Fintech the new DNA of financial services |
title_auth | Fintech the new DNA of financial services |
title_exact_search | Fintech the new DNA of financial services |
title_full | Fintech the new DNA of financial services Pranay Gupta and T. Mandy Tham |
title_fullStr | Fintech the new DNA of financial services Pranay Gupta and T. Mandy Tham |
title_full_unstemmed | Fintech the new DNA of financial services Pranay Gupta and T. Mandy Tham |
title_short | Fintech |
title_sort | fintech the new dna of financial services |
title_sub | the new DNA of financial services |
topic | Finanzdienstleistung (DE-588)4212226-0 gnd Finanztechnologie (DE-588)1115819186 gnd |
topic_facet | Finanzdienstleistung Finanztechnologie |
url | http://www.degruyter.com/search?f_0=isbnissn&q_0=9781547417087&searchTitles=true https://www.degruyter.com/doc/cover/9781547417087.jpg http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030739827&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
work_keys_str_mv | AT guptapranay fintechthenewdnaoffinancialservices AT thamtmandy fintechthenewdnaoffinancialservices AT walterdegruyterinc fintechthenewdnaoffinancialservices |