書籍詳細

書籍詳細




洋書

フィンテック革命

Fintech Innovation : From Robo-Advisors to Goal Based Investing and Gamification

(Wiley Finance)

Sironi, Paolo

Wiley 2016/08
157 p. 24 cm   
装丁: Hrd    装丁について
テキストの言語: ENG    出版国: US
ISBN: 9781119226987
KCN: 1023963756
紀伊國屋書店 選定タイトル
標準価格:¥7,480(本体 ¥6,800)   
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納期について
DDC: 332
KDC: E210 金融理論
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Full Description

A survival guide for the FinTech era of banking FinTech Innovation examines the rise of financial technology and its growing impact on the global banking industry. Wealth managers are standing at the epicenter of a tectonic shift, as the balance of power between offering and demand undergoes a dramatic upheaval.
Detailed information

Table of Contents

Preface xiii Acknowledgments xix About the Author xxi PART ONE Personalize Personal Finance CHAPTER 1 The Theory of Innovation: From Robo-Advisors to Goal Based Investing and Gamification 3 1.1 Introduction 3 1.2 A vibrant FinTech ecosystem 5 1.3 Some definitions, ladies and gentlemen 8 1.4 Personalization is king 9 1.5 The theory of innovation 11 1.6 My Robo-Advisor is an iPod 13 1.7 What incumbents should consider when thinking about FinTech innovation 15 1.8 Conclusions 17 PART TWO Automated Long-Term Investing Means Robo-Technology CHAPTER 2 Robo-Advisors: Neither Robots Nor Advisors 21 2.1 Introduction 21 2.2 What is a Robo-Advisor? 22 2.3 Automated digital businesses for underserved markets 25 2.4 Passive investment management with ETFs 26 2.5 Algorithms of automated portfolio rebalancing 29 2.6 Personalized decision-making, individual goals, and behaviour 30 2.7 Single minded businesses 31 2.8 Principles of tax-loss harvesting 33 2.9 Conclusions 36 CHAPTER 3 The Transformation of the Supply-Side 39 3.1 Introduction 39 3.2 The investment management supply-demand chain 40 3.3 How intermediaries make money 42 3.4 Issuers of direct claims (debt owners) 44 3.5 The institutionalization of the private banking relationship 45 3.6 The digital financial advisor 51 3.7 Asset management is being disintermediated 54 3.8 ETF providers and the Pyrrhic victory 57 3.9 Vertically integrated solutions challenge traditional platforms 59 3.10 Conclusions 60 CHAPTER 4 Social and Technology Mega Trends Shape a New Family of Taxable Investors 61 4.1 Introduction 61 4.2 Generational shift (X, Y, Z, and HENRYs) 62 4.3 About transparency, simplicity, and trust 65 4.4 The cognitive era 67 4.5 Conclusions 70 CHAPTER 5 The Industry s Dilemma and the Future of Digital Advice 71 5.1 Introduction 71 5.2 Wealth management firms: Go digital or die 72 5.3 Asset management firms: Less passive, more active 75 5.4 Robo-Platforms: Less transactions, more portfolios 76 5.5 Digital-Advisors: Empowered customization 77 5.6 Robo-Advisors: Be human, be virtual, take care of retirement 79 5.7 Conclusions: Clients take centre stage, at last 81 PART THREE Goal Based Investing is the Spirit of the Industry CHAPTER 6 The Principles of Goal Based Investing: Personalize the Investment Experience 85 6.1 Introduction 85 6.2 Foundations of Goal Based Investing 89 6.3 About personal needs, goals, and risks 91 6.4 Goal Based Investing process 96 6.5 What changes in portfolio modelling 97 6.6 Personal values 100 6.7 Goal elicitation 100 6.8 Goal priority 102 6.9 Time horizons 102 6.10 Risk tolerance 103 6.11 Reporting goal-centric performance 105 6.12 Conclusions 108 CHAPTER 7 The Investment Journey: From Model Asset Allocations to Goal Based Operational Portfolios 109 7.1 Introduction 109 7.2 Main traits of Modern Portfolio Theory 113 7.2.1 Asset diversification and efficient frontier 114 7.2.2 The Mean-Variance model portfolio 117 7.2.3 Final remarks about Mean-Variance 118 7.3 Main traits of Black-Litterman 118 7.3.1 The equilibrium market portfolio 119 7.3.2 Embedding professional views 121 7.3.3 The Black-Litterman optimal portfolio 122 7.3.4 Final remarks on Black-Litterman 122 7.4 Mean-Variance and mental accounts 123 7.4.1 Final remarks on Mean-variance and Mental Account 123 7.5 Main traits of Probabilistic Scenario Optimization 124 7.5.1 The PSO process 124 7.5.2 The investor s risk and return profile 126 7.5.3 Generation of scenarios and scenario paths 128 7.5.4 Stochastic simulation of products and portfolios over time 128 7.5.5 Potential and admissible portfolios: Allocation constraints 129 7.5.6 Adequate portfolios: Risk adequacy 130 7.5.7 Objective function: Probability maximization 131 7.5.8 Final remarks on PSO 135 7.5.9 Conclusions 135 CHAPTER 8 Goal Based Investing and Gamification 137 8.1 Introduction 137 8.2 Principles of Gamification 138 8.3 Gamification of wealth management 140 8.4 The mechanics of games 141 8.5 Conclusions 143 Concluding Remarks 145 Bibliography 147 Index 151