Regtech, Suptech and Beyond: Innovation in Financial Services
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The role of artificial intelligence and big data in investment management
Kishore K Yalamanchili and Saurav Banerjee
Foreword
Preface
Preface
Introduction: Suptech/regtech defined: Payments, sandboxes and beyond
The uncertain prudential treatment of cryptoassets
US regulatory certainty versus uncertainty for crypto and blockchain
Bermuda: Suptech and regtech supporting the risk-based approach
Suptech: A new era of supervisory philosophy
Cloud computing in the financial sector: A global perspective
DeFi protocol risks: The paradox of cryptofinance
IT transformation in the Prudential Authority of South Africa: A case study
Making the vision a reality: Perspectives from the Monetary Authority of Singapore
Lessons from Hong Kong through the lens of the HKMA
Technological change: Is it different this time?
The ECB’s suptech innovation house: Paving the way for digital transformation of banking supervision
China’s financing opening up and regulatory convergence with the world
Disclosures and market discipline: The promise of regtech
Regtech and new derivatives developments
Fintech and regtech: Leading the evolution and regulation of alternative investments
The role of artificial intelligence and big data in investment management
The promise and challenges of machine learning in finance
Data privacy and alternative data
Digital ID and financial inclusion
Strategic technology: Regulation and innovation of CBDCs
Regulatory sandboxes: Innovation and financial inclusion
Technology and sandbox development innovation in a transitional market: A case study
Developing the regulatory ecosystem: The evolution of stablecoin
Central bank digital currency, regtech and suptech
Digital dollar: Cryptocurrency for everyday commerce
CFTC regtech implications for virtual currency trading
Fintech, regtech, suptech and central bank decision making
Artificial intelligence (AI) and big data (also referred to as alternative data) are the topics du jour across a broad spectrum of industries. These technologies have been adopted by different sectors to various degrees, highlighted by developments such as self-driving cars and chess playing computers that hit the headlines. However, one area where there is relatively low visible activity and which has scope for substantial penetration is the investment management sector. This chapter will therefore discuss the potential role of AI and big data in different aspects of investment management. Applications in different asset classes, portfolio management, trading, risk management and compliance practice areas are explored. Furthermore, we evaluate the potential impact such technologies can have for the future of investment management, including the ramifications for related compliance and regulatory oversight. The regulators may have to develop new rules for regulating the use of AI- enabled processes after careful experimentation with the use of such processes in collaboration with the industry.
ARTIFICIAL INTELLIGENCE
Artificial intelligence can be defined as intelligence
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