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Artificial Intelligence and Finance Competition, Crimes and Financial Management.pdf
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资料全名：Artificial Intelligence and Finance Competition, Crimes and Financial Management
Artificial intelligence (AI) has been increasingly shaping the organization and operation of global capital markets by backing the consequences of algorithmic trading. However, concerns about the growing contribution of AI are mounting, particularly in relation to its potential to destabilize fair and orderly trading. This resource examines the impact of AI on finance, financial management, competition, and crimes. It presents the AI-driven economy by combining a theoretical framework with econometric analysis and involves a discussion of the intersection of novel areas, including blockchain and AI. It investigates the AI-driven economy from four perspectives: economic impacts and financial implications, technological innovation, and political considerations. This interdisciplinary approach enables a holistic analysis of the subject, ensuring its relevance. The resource begins by signaling the latest advancements in AI and its significance for the economy, presenting new forms of finance. It investigates the role of AI within financial markets, followed by an analysis of the role of AI on developments in finance, financial management, and governance, with an emphasis on the metaverse and Non-Fungible Tokens (NFTs), Central Bank Digital Currencies (CBDCs), cyber assets, and digital currencies. The role of competition in finance is highlighted, and financial crimes and their influence on financial markets are examined. The resource will find an audience among researchers and students in the field of economics, finance, or business, as well as economists, lawyers, and financial and cybersecurity professionals.
AI and Finance 6
1.1 Introduction 6
1.2 Bitcoin as Money 8
1.3 Regulating Virtual Currencies 12
1.4 Monetary Policy and Financial Stability Policy 14
1.5 New Technologies and Dollar 16
1.6 Metaverse in Finance 17
1.7 AI, Decentralized Finance (DeFi), and NFTs 18
1.8 NFTs and Digital Economy 20
1.9 Financing Startups 22
1.10 Finance Models 23
1.11 Data and Finance 28
1.12 Digital Financial Services 29
1.13 CBDCs and Global Finance 30
1.14 ChatGPT and Finance 33
1.15 Blockchain and AI in Finance 34
1.16 EU AI Act and Finance 35
Notes 36
2 AI, Crypto Assets, and Financial Markets 47
2.1 Introduction 47
2.2 Digitalization 48
2.3 Centralization versus Decentralization 51
2.4 Financial Globalization 55
2.5 The Market, Banks, and Cash Management 59
2.6 Venture Capital and AI 64
2.7 AI and Financial Markets 68
2.8 Metaverse and Non-Fungible Tokens (NFTs) 70
2.9 Security and Tokens 72
2.10 Crypto Assets 73
Contents
viii Contents
Contents
2.11 Crypto Market Developments 80
2.12 Banks and Crypto-finance 81
2.13 Corruption and Tax Evasion 83
Notes 88
3 AI, Financial Governance, and Management 100
3.1 AI, Corporations, and Management 100
3.2 Algorithmic Governance 101
3.3 AI, Governance, and Decision-Making 105
3.4 Financial Data Governance 108
3.5 Capital Management 109
3.6 AI and Risk Management 112
3.7 Financial Risk Management and AI 118
3.8 Risk Management Implications and Finance 123
Notes 129
4 AI Formalism and Financial Competition 137
4.1 Introduction 137
4.2 Characteristics of Antitrust/Competition law 140
4.3 Globalization and Competition 150
4.4 AI and Competition 153
4.5 Formalism and AΑΙ Neo-Formalism in Competition 155
4.6 Finance and Competition 170
4.7 Formalism in Financial Competition 173
Notes 174
5 Financial Crimes 188
5.1 Market Abuse in EU 188
5.2 AI Algorithmic Trading and Manipulation 191
5.3 Market Manipulation in NFT Markets 193
5.4 Insider Trading on the Blockchain and Beyond 195
5.5 Big Data and Insider Trading 196
5.6 Digital Currencies and Insider Trading 197
5.7 Insider Trading and EU Law 207
5.8 AI and Insider Trading Developments in EU and US 208
5.9 AI Logistics of Information Is the Remedy against Insider Trading 218
5.10 Insider Trading and Accounting 218
5.11 Corruption and Insider Trading 221
5.12 Governance and Insider Trading 222
5.13 Corporate Social Responsibility (CSR) and Insider Trading 225
5.14 AI and Money Laundering 226
Notes 231
Contents ix
6 Econometric Analysis of the Impact of Competition, Exports,
and Trade Upon AI Economy 245
6.1 Introduction 245
6.2 Methodology and Data 246
6.3 Linear Empirical Results 247
6.4 Non-Linear Empirical Results 251
6.5 Conclusions 253
Notes 255
Conclusions 256
Index 26
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