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Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance
This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.
A Survey of Research on Retail Central Bank Digital Currency
This paper examines key considerations around central bank digital currency (CBDC) for use by the general public, based on a comprehensive review of recent research, central bank experiments, and ongoing discussions among stakeholders. It looks at the reasons why central banks are exploring retail CBDC issuance, policy and design considerations; legal, governance and regulatory perspectives; plus cybersecurity and other risk considerations. This paper makes a contribution to the CBDC literature by suggesting a structured framework to organize discussions on whether or not to issue CBDC, with an operational focus and a project management perspective.
Instant Payments: Regulatory Innovation and Payment Substitution Across Countries
Instant, or fast, payments are credit transfers completed and settled within seconds or minutes. They have low costs, reduce payment risk, and have significantly replaced the use of cash, cards, or check and direct debit payments. We note the role played by regulators in promoting instant payments and identify instances of significant payment instrument substitution across 12 advanced and emerging market economies. This substitution reflects the realized demand for attributes offered by instant payments. As these attributes are quite similar to those for CBDC, the demand for retail CBDC (if issued) may be less compelling.
Understanding cryptocurrency fraud
This handbook focuses on the key issues that continue to hinder the formal development of cryptocurrencies as a mainstream financial asset. It primarily examines reputationally damaging events, particularly those related to illicit behavior. The goal of the handbook is to determine whether some of these events could be mitigated by improved or at least coordinated international regulation. The handbook will be useful for specialist technical audiences such as legal, accounting and financial practices. It will also be beneficial for upper level masters and research students in economics, law, accounting, taxation, investment and portfolio management.
How to Assess Country Risk
The IMF’s Vulnerability Exercise (VE) is a cross-country exercise that identifies country-specific near-term macroeconomic risks. As a key element of the Fund’s broader risk architecture, the VE is a bottom-up, multi-sectoral approach to risk assessments for all IMF member countries. The VE modeling toolkit is regularly updated in response to global economic developments and the latest modeling innovations. The new generation of VE models presented here leverages machine-learning algorithms. The models can better capture interactions between different parts of the economy and non-linear relationships that are not well measured in ”normal times.” The performance of machine-learning-based models is evaluated against more conventional models in a horse-race format. The paper also presents direct, transparent methods for communicating model results.
FinTech in Financial Inclusion: Machine Learning Applications in Assessing Credit Risk
Recent advances in digital technology and big data have allowed FinTech (financial technology) lending to emerge as a potentially promising solution to reduce the cost of credit and increase financial inclusion. However, machine learning (ML) methods that lie at the heart of FinTech credit have remained largely a black box for the nontechnical audience. This paper contributes to the literature by discussing potential strengths and weaknesses of ML-based credit assessment through (1) presenting core ideas and the most common techniques in ML for the nontechnical audience; and (2) discussing the fundamental challenges in credit risk analysis. FinTech credit has the potential to enhance financi...
Global Financial Stability Report, October 2017
The October 2017 Global Financial Stability Report finds that the global financial system continues to strengthen in response to extraordinary policy support, regulatory enhancements, and the cyclical upturn in growth. It also includes a chapter that examines the short- and medium-term implications for economic growth and financial stability of the past decades’ rise in household debt. It documents large differences in household debt-to-GDP ratios across countries but a common increasing trajectory that was moderated but not reversed by the global financial crisis. Another chapter develops a new macroeconomic measure of financial stability by linking financial conditions to the probability distribution of future GDP growth and applies it to a set of 20 major advanced and emerging market economies. The chapter shows that changes in financial conditions shift the whole distribution of future GDP growth.
Capital Flow Management Measures in the Digital Age
Capital flow management measures (CFMs) can be part of the broader policy toolkit to help countries reap the benefits of capital flows while managing the associated risks. Their implementation typically requires that financial intermediaries verify the nature of transactions and the identities of transacting parties but is facing the rising challenge of crypto assets. Indeed, crypto assets have become a significant instrument for payments and speculative investments in some countries. They can be traded pseudonymously and held without identification of the residency of the asset holder. Many crypto service providers operate across borders, making supervision and enforcement by national autho...
How Should Central Banks Explore Central Bank Digital Currency?
Digitalization of the economy provides both challenges and opportunities. Central banks should ensure that they have the capacity to continue to meet their policy objectives in the digital age. It is in this context that central bank digital currency (CBDC) should be evaluated. If designed appropriately, CBDCs could allow central banks to modernize payment systems and future-proof central bank money as the pace and shape of digitalization continues to evolve. However, the decision to proceed with CBDC exploration and an eventual launch would need to be jurisdiction specific, depending on the degree of digitalization of the economy, the legal and regulatory frameworks, and the central bank’s internal capacity. This paper proposes a dynamic decision-making framework under which the central bank can make decisions under uncertainty. A phased and iterative approach could allow central banks to adjust the pace, scale, and scope of their CBDC projects as the domestic and international environment changes.
Fintech and Financial Services
A new wave of technological innovations, often called “fintech,” is accelerating change in the financial sector. What impact might fintech have on financial services, and how should regulation respond? This paper sets out an economic framework for thinking through the channels by which fintech might provide solutions that respond to consumer needs for trust, security, privacy, and better services, change the competitive landscape, and affect regulation. It combines a broad discussion of trends across financial services with a focus on cross-border payments and especially the impact of distributed ledger technology. Overall, the paper finds that boundaries among different types of service providers are blurring; barriers to entry are changing; and improvements in cross-border payments are likely. It argues that regulatory authorities need to balance carefully efficiency and stability trade-offs in the face of rapid changes, and ensure that trust is maintained in an evolving financial system. It also highlights the importance of international cooperation.
