The Impact Of Gray Listing On Capital Flows An Analysis Using Machine Learning

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The Impact of Gray-Listing on Capital Flows: An Analysis Using Machine Learning

Mizuho Kida,Simon Paetzold
The Impact of Gray Listing on Capital Flows An Analysis Using Machine Learning Book PDF

Author : Mizuho Kida,Simon Paetzold
Publisher : International Monetary Fund
Page : 37 pages
File Size : 51,8 Mb
Release : 2021-05-27
Category : Business & Economics
ISBN : 9781513582436

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The Impact of Gray-Listing on Capital Flows: An Analysis Using Machine Learning by Mizuho Kida,Simon Paetzold Pdf

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.

2023 Review of The Fund's Anti-Money Laundering and Combating The Financing of Terrorism Strategy—Background Papers

International Monetary Fund. Legal Dept.
2023 Review of The Fund s Anti Money Laundering and Combating The Financing of Terrorism Strategy Background Papers Book PDF

Author : International Monetary Fund. Legal Dept.
Publisher : International Monetary Fund
Page : 88 pages
File Size : 47,9 Mb
Release : 2023-12-05
Category : Business & Economics
ISBN : 9798400260438

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2023 Review of The Fund's Anti-Money Laundering and Combating The Financing of Terrorism Strategy—Background Papers by International Monetary Fund. Legal Dept. Pdf

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.

2023 Review of The Fund’s Anti-Money Laundering and Combating The Financing of Terrorism Strategy

International Monetary Fund. Legal Dept.
2023 Review of The Fund s Anti Money Laundering and Combating The Financing of Terrorism Strategy Book PDF

Author : International Monetary Fund. Legal Dept.
Publisher : International Monetary Fund
Page : 56 pages
File Size : 47,7 Mb
Release : 2023-12-05
Category : Business & Economics
ISBN : 9798400258763

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2023 Review of The Fund’s Anti-Money Laundering and Combating The Financing of Terrorism Strategy by International Monetary Fund. Legal Dept. Pdf

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.

Leveraging Anti-money Laundering Measures to Improve Tax Compliance and Help Mobilize Domestic Revenues

Mr. Emmanuel Mathias,Adrian Wardzynski
Leveraging Anti money Laundering Measures to Improve Tax Compliance and Help Mobilize Domestic Revenues Book PDF

Author : Mr. Emmanuel Mathias,Adrian Wardzynski
Publisher : International Monetary Fund
Page : 51 pages
File Size : 49,9 Mb
Release : 2023-04-21
Category : Business & Economics
ISBN : 9798400240409

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Leveraging Anti-money Laundering Measures to Improve Tax Compliance and Help Mobilize Domestic Revenues by Mr. Emmanuel Mathias,Adrian Wardzynski Pdf

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.

Artificial Intelligence in Asset Management

Söhnke M. Bartram,Jürgen Branke,Mehrshad Motahari
Artificial Intelligence in Asset Management Book PDF

Author : Söhnke M. Bartram,Jürgen Branke,Mehrshad Motahari
Publisher : CFA Institute Research Foundation
Page : 95 pages
File Size : 49,6 Mb
Release : 2020-08-28
Category : Business & Economics
ISBN : 9781952927034

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Artificial Intelligence in Asset Management by Söhnke M. Bartram,Jürgen Branke,Mehrshad Motahari Pdf

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.

Global Waves of Debt

M. Ayhan Kose,Peter Nagle,Franziska Ohnsorge,Naotaka Sugawara
Global Waves of Debt Book PDF

Author : M. Ayhan Kose,Peter Nagle,Franziska Ohnsorge,Naotaka Sugawara
Publisher : World Bank Publications
Page : 403 pages
File Size : 52,8 Mb
Release : 2021-03-03
Category : Business & Economics
ISBN : 9781464815454

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Global Waves of Debt by M. Ayhan Kose,Peter Nagle,Franziska Ohnsorge,Naotaka Sugawara Pdf

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.

Global Trends 2040

National Intelligence Council
Global Trends 2040 Book PDF

Author : National Intelligence Council
Publisher : Cosimo Reports
Page : 158 pages
File Size : 44,6 Mb
Release : 2021-03
Category : Electronic
ISBN : 1646794974

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Global Trends 2040 by National Intelligence Council Pdf

"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.

Machine Learning and Causality: The Impact of Financial Crises on Growth

Mr.Andrew J Tiffin
Machine Learning and Causality The Impact of Financial Crises on Growth Book PDF

Author : Mr.Andrew J Tiffin
Publisher : International Monetary Fund
Page : 30 pages
File Size : 49,8 Mb
Release : 2019-11-01
Category : Computers
ISBN : 9781513518305

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Machine Learning and Causality: The Impact of Financial Crises on Growth by Mr.Andrew J Tiffin Pdf

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.

Elements of Causal Inference

Jonas Peters,Dominik Janzing,Bernhard Scholkopf
Elements of Causal Inference Book PDF

Author : Jonas Peters,Dominik Janzing,Bernhard Scholkopf
Publisher : MIT Press
Page : 289 pages
File Size : 52,6 Mb
Release : 2017-11-29
Category : Computers
ISBN : 9780262037310

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Elements of Causal Inference by Jonas Peters,Dominik Janzing,Bernhard Scholkopf Pdf

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.

Artificial Intelligence in Financial Markets

Christian L. Dunis,Peter W. Middleton,Andreas Karathanasopolous,Konstantinos Theofilatos
Artificial Intelligence in Financial Markets Book PDF

Author : Christian L. Dunis,Peter W. Middleton,Andreas Karathanasopolous,Konstantinos Theofilatos
Publisher : Springer
Page : 349 pages
File Size : 40,5 Mb
Release : 2016-11-21
Category : Business & Economics
ISBN : 9781137488800

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Artificial Intelligence in Financial Markets by Christian L. Dunis,Peter W. Middleton,Andreas Karathanasopolous,Konstantinos Theofilatos Pdf

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.

International Monetary Fund Annual Report 2019 Financial Statements

International Monetary Fund
International Monetary Fund Annual Report 2019 Financial Statements Book PDF

Author : International Monetary Fund
Publisher : International Monetary Fund
Page : 122 pages
File Size : 42,8 Mb
Release : 2019-10-04
Category : Business & Economics
ISBN : 9781513511726

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International Monetary Fund Annual Report 2019 Financial Statements by International Monetary Fund Pdf

The audited consolidated financial statements of the International Monetary Fund as of April 30, 2019 and 2018

International Macroeconomics in the Wake of the Global Financial Crisis

Laurent Ferrara,Ignacio Hernando,Daniela Marconi
International Macroeconomics in the Wake of the Global Financial Crisis Book PDF

Author : Laurent Ferrara,Ignacio Hernando,Daniela Marconi
Publisher : Springer
Page : 298 pages
File Size : 41,6 Mb
Release : 2018-06-13
Category : Business & Economics
ISBN : 9783319790756

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International Macroeconomics in the Wake of the Global Financial Crisis by Laurent Ferrara,Ignacio Hernando,Daniela Marconi Pdf

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.

World Investment Report 2019

United Nations Conference on Trade and Development
World Investment Report 2019 Book PDF

Author : United Nations Conference on Trade and Development
Publisher : United Nations
Page : 377 pages
File Size : 50,9 Mb
Release : 2019-08-09
Category : Political Science
ISBN : 9789213582824

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World Investment Report 2019 by United Nations Conference on Trade and Development Pdf

The 2019 edition of the World Investment Report focuses on special economic zones (SEZs) which are widely used across most developing and many developed economies. Although the performance of many zones remains below expectations, the rate of establishment of new zones is accelerating as governments increasingly compete for internationally mobile industrial activity. Policymakers face not only the traditional challenges to making SEZs succeed, including the need for strategic focus, sound governance models, and effective investment promotion tools, but also new challenges brought about by the sustainable development imperative, the new industrial revolution, and changing patterns of international production. The Report explores the place of SEZs in today’s global investment landscape and provides guidance for policymakers on how to make SEZs work for sustainable development. It presents international investment trends and prospects at global, regional and national levels, as well as the evolution of international production and global value chains. It analyses the latest developments in new policy measures for investment promotion, facilitation and regulation around the world, as well as updates on investment treaties, their reform and investment dispute settlement cases.

Principles of Accounting Volume 1 - Financial Accounting

Mitchell Franklin,Patty Graybeal,Dixon Cooper
Principles of Accounting Volume 1 Financial Accounting Book PDF

Author : Mitchell Franklin,Patty Graybeal,Dixon Cooper
Publisher : Unknown
Page : 1056 pages
File Size : 44,8 Mb
Release : 2019-04-11
Category : Electronic
ISBN : 1680922912

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Principles of Accounting Volume 1 - Financial Accounting by Mitchell Franklin,Patty Graybeal,Dixon Cooper Pdf

The text and images in this book are in grayscale. A hardback color version is available. Search for ISBN 9781680922929. Principles of Accounting is designed to meet the scope and sequence requirements of a two-semester accounting course that covers the fundamentals of financial and managerial accounting. This book is specifically designed to appeal to both accounting and non-accounting majors, exposing students to the core concepts of accounting in familiar ways to build a strong foundation that can be applied across business fields. Each chapter opens with a relatable real-life scenario for today's college student. Thoughtfully designed examples are presented throughout each chapter, allowing students to build on emerging accounting knowledge. Concepts are further reinforced through applicable connections to more detailed business processes. Students are immersed in the "why" as well as the "how" aspects of accounting in order to reinforce concepts and promote comprehension over rote memorization.

Encyclopedia of Data Science and Machine Learning

Wang, John
Encyclopedia of Data Science and Machine Learning Book PDF

Author : Wang, John
Publisher : IGI Global
Page : 3296 pages
File Size : 51,8 Mb
Release : 2023-01-20
Category : Computers
ISBN : 9781799892212

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Encyclopedia of Data Science and Machine Learning by Wang, John Pdf

Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. Big data has now become a critical part of both the business world and daily life, as the synthesis and synergy of machine learning and big data has enormous potential. Big data and machine learning are projected to not only maximize citizen wealth, but also promote societal health. As big data continues to evolve and the demand for professionals in the field increases, access to the most current information about the concepts, issues, trends, and technologies in this interdisciplinary area is needed. The Encyclopedia of Data Science and Machine Learning examines current, state-of-the-art research in the areas of data science, machine learning, data mining, and more. It provides an international forum for experts within these fields to advance the knowledge and practice in all facets of big data and machine learning, emphasizing emerging theories, principals, models, processes, and applications to inspire and circulate innovative findings into research, business, and communities. Covering topics such as benefit management, recommendation system analysis, and global software development, this expansive reference provides a dynamic resource for data scientists, data analysts, computer scientists, technical managers, corporate executives, students and educators of higher education, government officials, researchers, and academicians.