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Author: Mizuho Kida
Publisher: International Monetary Fund
ISBN: 1513582437
Category : Business & Economics
Languages : en
Pages : 37
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Book Description
The Financial Action Task Force’s gray list publicly identifies countries with strategic deficiencies in their AML/CFT regimes (i.e., in their policies to prevent money laundering and the financing of terrorism). How much gray-listing affects a country’s capital flows is of interest to policy makers, investors, and the Fund. This paper estimates the magnitude of the effect using an inferential machine learning technique. It finds that gray-listing results in a large and statistically significant reduction in capital inflows.
Author: Mizuho Kida
Publisher: International Monetary Fund
ISBN: 1513582437
Category : Business & Economics
Languages : en
Pages : 37
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Book Description
The Financial Action Task Force’s gray list publicly identifies countries with strategic deficiencies in their AML/CFT regimes (i.e., in their policies to prevent money laundering and the financing of terrorism). How much gray-listing affects a country’s capital flows is of interest to policy makers, investors, and the Fund. This paper estimates the magnitude of the effect using an inferential machine learning technique. It finds that gray-listing results in a large and statistically significant reduction in capital inflows.
Author: International Monetary Fund. Legal Dept.
Publisher: International Monetary Fund
ISBN:
Category : Business & Economics
Languages : en
Pages : 88
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Book Description
The background papers support the stocktaking analysis and the proposed way forward for the 2023 review of the IMF's AML/CFT Strategy. The five background papers provide in-depth discussions on the following key topics: (i) illicit financial flows; (ii) the impact of money laundering in financial stability; (iii) synergies between financial integrity issues and other Fund policies and work; (iv) the Fund’s collaboration with key partners in the AML/CFT global policy architecture; and (v) stakeholders’ views of the effectiveness of the Fund’s AML/CFT engagement.
Author: International Monetary Fund. Legal Dept.
Publisher: International Monetary Fund
ISBN:
Category : Business & Economics
Languages : en
Pages : 56
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Book Description
This paper reviews the Fund’s efforts to safeguard financial integrity and proposes the way forward for the Fund’s Anti-Money Laundering and Combating the Financing of Terrorism (AML/CFT) Strategy. For over 20 years, the IMF has recognized that effective AML/CFT frameworks, and financial integrity more broadly, are key to the soundness and stability of the financial sector and to prevent the negative macroeconomic implications of financial crimes on the broader economy of members, progressively integrating this work across all its core functions and in a broad set of Fund policies. The paper takes stock of the implementation of the IMF's AML/CFT strategy since 2018. It also proposes deepening the integration of financial integrity issues and an enhanced focus on the macroeconomic impact of AML/CFT issues for the way forward.
Author: Mr. Emmanuel Mathias
Publisher: International Monetary Fund
ISBN:
Category : Business & Economics
Languages : en
Pages : 51
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Book Description
The paper advocates leveraging anti-money laundering (AML) measures to enhance tax compliance, tackle tax crimes, and, in turn, help mobilize domestic revenues. While AML measures have already been deployed to improve tax compliance, including during the European debt crisis, the benefits that such measures could bring to the integrity of the tax system are yet to be fully realized. In recent years, the relevance of AML measures for tax purposes resurfaced in public discourse in light of numerous data leaks that provided ample evidence of the closely intertwined nature of tax crimes and money laundering. There might now be the right political momentum for greater utilization of AML measures given post-pandemic calls for a more progressive tax system, elevated sovereign debt burdens, a challenging global economic outlook, and widespread cost-of-living crisis. In this context, the IMF has stressed the importance of rebuilding fiscal buffers, as countries with more fiscal room are better placed to weather the economic slowdown and protect households and businesses.
Author: Söhnke M. Bartram
Publisher: CFA Institute Research Foundation
ISBN: 195292703X
Category : Business & Economics
Languages : en
Pages : 95
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Book Description
Artificial intelligence (AI) has grown in presence in asset management and has revolutionized the sector in many ways. It has improved portfolio management, trading, and risk management practices by increasing efficiency, accuracy, and compliance. In particular, AI techniques help construct portfolios based on more accurate risk and return forecasts and more complex constraints. Trading algorithms use AI to devise novel trading signals and execute trades with lower transaction costs. AI also improves risk modeling and forecasting by generating insights from new data sources. Finally, robo-advisors owe a large part of their success to AI techniques. Yet the use of AI can also create new risks and challenges, such as those resulting from model opacity, complexity, and reliance on data integrity.
Author: M. Ayhan Kose
Publisher: World Bank Publications
ISBN: 1464815453
Category : Business & Economics
Languages : en
Pages : 403
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Book Description
The global economy has experienced four waves of rapid debt accumulation over the past 50 years. The first three debt waves ended with financial crises in many emerging market and developing economies. During the current wave, which started in 2010, the increase in debt in these economies has already been larger, faster, and broader-based than in the previous three waves. Current low interest rates mitigate some of the risks associated with high debt. However, emerging market and developing economies are also confronted by weak growth prospects, mounting vulnerabilities, and elevated global risks. A menu of policy options is available to reduce the likelihood that the current debt wave will end in crisis and, if crises do take place, will alleviate their impact.
Author: Laurent Ferrara
Publisher: Springer
ISBN: 3319790757
Category : Business & Economics
Languages : en
Pages : 298
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Book Description
This book collects selected articles addressing several currently debated issues in the field of international macroeconomics. They focus on the role of the central banks in the debate on how to come to terms with the long-term decline in productivity growth, insufficient aggregate demand, high economic uncertainty and growing inequalities following the global financial crisis. Central banks are of considerable importance in this debate since understanding the sluggishness of the recovery process as well as its implications for the natural interest rate are key to assessing output gaps and the monetary policy stance. The authors argue that a more dynamic domestic and external aggregate demand helps to raise the inflation rate, easing the constraint deriving from the zero lower bound and allowing monetary policy to depart from its current ultra-accommodative position. Beyond macroeconomic factors, the book also discusses a supportive financial environment as a precondition for the rebound of global economic activity, stressing that understanding capital flows is a prerequisite for economic-policy decisions.
Author: National Intelligence Council
Publisher: Cosimo Reports
ISBN: 9781646794973
Category :
Languages : en
Pages : 158
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Book Description
"The ongoing COVID-19 pandemic marks the most significant, singular global disruption since World War II, with health, economic, political, and security implications that will ripple for years to come." -Global Trends 2040 (2021) Global Trends 2040-A More Contested World (2021), released by the US National Intelligence Council, is the latest report in its series of reports starting in 1997 about megatrends and the world's future. This report, strongly influenced by the COVID-19 pandemic, paints a bleak picture of the future and describes a contested, fragmented and turbulent world. It specifically discusses the four main trends that will shape tomorrow's world: - Demographics-by 2040, 1.4 billion people will be added mostly in Africa and South Asia. - Economics-increased government debt and concentrated economic power will escalate problems for the poor and middleclass. - Climate-a hotter world will increase water, food, and health insecurity. - Technology-the emergence of new technologies could both solve and cause problems for human life. Students of trends, policymakers, entrepreneurs, academics, journalists and anyone eager for a glimpse into the next decades, will find this report, with colored graphs, essential reading.
Author: International Monetary Fund
Publisher: International Monetary Fund
ISBN: 1513511726
Category : Business & Economics
Languages : en
Pages : 122
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Book Description
The audited consolidated financial statements of the International Monetary Fund as of April 30, 2019 and 2018
Author: Jonas Peters
Publisher: MIT Press
ISBN: 0262037319
Category : Computers
Languages : en
Pages : 289
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Book Description
A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning. The mathematization of causality is a relatively recent development, and has become increasingly important in data science and machine learning. This book offers a self-contained and concise introduction to causal models and how to learn them from data. After explaining the need for causal models and discussing some of the principles underlying causal inference, the book teaches readers how to use causal models: how to compute intervention distributions, how to infer causal models from observational and interventional data, and how causal ideas could be exploited for classical machine learning problems. All of these topics are discussed first in terms of two variables and then in the more general multivariate case. The bivariate case turns out to be a particularly hard problem for causal learning because there are no conditional independences as used by classical methods for solving multivariate cases. The authors consider analyzing statistical asymmetries between cause and effect to be highly instructive, and they report on their decade of intensive research into this problem. The book is accessible to readers with a background in machine learning or statistics, and can be used in graduate courses or as a reference for researchers. The text includes code snippets that can be copied and pasted, exercises, and an appendix with a summary of the most important technical concepts.
