Download The Impact Of Gray Listing On Capital Flows An Analysis Using Machine Learning full books in PDF, epub, and Kindle. Read online The Impact Of Gray Listing On Capital Flows An Analysis Using Machine Learning ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
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.
Book Synopsis The Impact of Gray-Listing on Capital Flows: An Analysis Using Machine Learning by : Mizuho Kida
Download or read book The Impact of Gray-Listing on Capital Flows: An Analysis Using Machine Learning written by Mizuho Kida and published by International Monetary Fund. This book was released on 2021-05-27 with total page 37 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
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.
Book Synopsis 2023 Review of The Fund's Anti-Money Laundering and Combating The Financing of Terrorism Strategy—Background Papers by : International Monetary Fund. Legal Dept.
Download or read book 2023 Review of The Fund's Anti-Money Laundering and Combating The Financing of Terrorism Strategy—Background Papers written by International Monetary Fund. Legal Dept. and published by International Monetary Fund. This book was released on 2023-12-05 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
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.
Book Synopsis 2023 Review of The Fund’s Anti-Money Laundering and Combating The Financing of Terrorism Strategy by : International Monetary Fund. Legal Dept.
Download or read book 2023 Review of The Fund’s Anti-Money Laundering and Combating The Financing of Terrorism Strategy written by International Monetary Fund. Legal Dept. and published by International Monetary Fund. This book was released on 2023-12-05 with total page 56 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
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.
Book Synopsis Artificial Intelligence in Asset Management by : Söhnke M. Bartram
Download or read book Artificial Intelligence in Asset Management written by Söhnke M. Bartram and published by CFA Institute Research Foundation. This book was released on 2020-08-28 with total page 95 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
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.
Book Synopsis Leveraging Anti-money Laundering Measures to Improve Tax Compliance and Help Mobilize Domestic Revenues by : Mr. Emmanuel Mathias
Download or read book Leveraging Anti-money Laundering Measures to Improve Tax Compliance and Help Mobilize Domestic Revenues written by Mr. Emmanuel Mathias and published by International Monetary Fund. This book was released on 2023-04-21 with total page 51 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
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.
Book Synopsis Global Waves of Debt by : M. Ayhan Kose
Download or read book Global Waves of Debt written by M. Ayhan Kose and published by World Bank Publications. This book was released on 2021-03-03 with total page 403 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
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.
Book Synopsis International Macroeconomics in the Wake of the Global Financial Crisis by : Laurent Ferrara
Download or read book International Macroeconomics in the Wake of the Global Financial Crisis written by Laurent Ferrara and published by Springer. This book was released on 2018-06-13 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
As technology advancement has increased, so to have computational applications for forecasting, modelling and trading financial markets and information, and practitioners are finding ever more complex solutions to financial challenges. Neural networking is a highly effective, trainable algorithmic approach which emulates certain aspects of human brain functions, and is used extensively in financial forecasting allowing for quick investment decision making. This book presents the most cutting-edge artificial intelligence (AI)/neural networking applications for markets, assets and other areas of finance. Split into four sections, the book first explores time series analysis for forecasting and trading across a range of assets, including derivatives, exchange traded funds, debt and equity instruments. This section will focus on pattern recognition, market timing models, forecasting and trading of financial time series. Section II provides insights into macro and microeconomics and how AI techniques could be used to better understand and predict economic variables. Section III focuses on corporate finance and credit analysis providing an insight into corporate structures and credit, and establishing a relationship between financial statement analysis and the influence of various financial scenarios. Section IV focuses on portfolio management, exploring applications for portfolio theory, asset allocation and optimization. This book also provides some of the latest research in the field of artificial intelligence and finance, and provides in-depth analysis and highly applicable tools and techniques for practitioners and researchers in this field.
Book Synopsis Artificial Intelligence in Financial Markets by : Christian L. Dunis
Download or read book Artificial Intelligence in Financial Markets written by Christian L. Dunis and published by Springer. This book was released on 2016-11-21 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: As technology advancement has increased, so to have computational applications for forecasting, modelling and trading financial markets and information, and practitioners are finding ever more complex solutions to financial challenges. Neural networking is a highly effective, trainable algorithmic approach which emulates certain aspects of human brain functions, and is used extensively in financial forecasting allowing for quick investment decision making. This book presents the most cutting-edge artificial intelligence (AI)/neural networking applications for markets, assets and other areas of finance. Split into four sections, the book first explores time series analysis for forecasting and trading across a range of assets, including derivatives, exchange traded funds, debt and equity instruments. This section will focus on pattern recognition, market timing models, forecasting and trading of financial time series. Section II provides insights into macro and microeconomics and how AI techniques could be used to better understand and predict economic variables. Section III focuses on corporate finance and credit analysis providing an insight into corporate structures and credit, and establishing a relationship between financial statement analysis and the influence of various financial scenarios. Section IV focuses on portfolio management, exploring applications for portfolio theory, asset allocation and optimization. This book also provides some of the latest research in the field of artificial intelligence and finance, and provides in-depth analysis and highly applicable tools and techniques for practitioners and researchers in this field.
The audited consolidated financial statements of the International Monetary Fund as of April 30, 2019 and 2018
Book Synopsis International Monetary Fund Annual Report 2019 Financial Statements by : International Monetary Fund
Download or read book International Monetary Fund Annual Report 2019 Financial Statements written by International Monetary Fund and published by International Monetary Fund. This book was released on 2019-10-04 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: The audited consolidated financial statements of the International Monetary Fund as of April 30, 2019 and 2018
Machine learning tools are well known for their success in prediction. But prediction is not causation, and causal discovery is at the core of most questions concerning economic policy. Recently, however, the literature has focused more on issues of causality. This paper gently introduces some leading work in this area, using a concrete example—assessing the impact of a hypothetical banking crisis on a country’s growth. By enabling consideration of a rich set of potential nonlinearities, and by allowing individually-tailored policy assessments, machine learning can provide an invaluable complement to the skill set of economists within the Fund and beyond.
Book Synopsis Machine Learning and Causality: The Impact of Financial Crises on Growth by : Mr.Andrew J Tiffin
Download or read book Machine Learning and Causality: The Impact of Financial Crises on Growth written by Mr.Andrew J Tiffin and published by International Monetary Fund. This book was released on 2019-11-01 with total page 30 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning tools are well known for their success in prediction. But prediction is not causation, and causal discovery is at the core of most questions concerning economic policy. Recently, however, the literature has focused more on issues of causality. This paper gently introduces some leading work in this area, using a concrete example—assessing the impact of a hypothetical banking crisis on a country’s growth. By enabling consideration of a rich set of potential nonlinearities, and by allowing individually-tailored policy assessments, machine learning can provide an invaluable complement to the skill set of economists within the Fund and beyond.
