Machine Learning And Causality The Impact Of Financial Crises On Growth

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Machine Learning And Causality The Impact Of Financial Crises On Growth

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Author : Mr.Andrew J Tiffin
language : en
Publisher: International Monetary Fund
Release Date : 2019-11-01

Machine Learning And Causality The Impact Of Financial Crises On Growth written by Mr.Andrew J Tiffin and has been published by International Monetary Fund this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-01 with Computers categories.

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.

Machine Learning And Causality The Impact Of Financial Crises On Growth

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Author : Mr.Andrew J Tiffin
language : en
Publisher: International Monetary Fund
Release Date : 2019-11-01

Machine Learning And Causality The Impact Of Financial Crises On Growth written by Mr.Andrew J Tiffin and has been published by International Monetary Fund this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-01 with Computers categories.

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.

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

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Author : Mizuho Kida
language : en
Publisher: International Monetary Fund
Release Date : 2021-05-27

The Impact Of Gray Listing On Capital Flows An Analysis Using Machine Learning written by Mizuho Kida and has been published by International Monetary Fund this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-27 with Business & Economics categories.

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.

Kingdom Of Lesotho

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Author : International Monetary Fund. African Dept.
language : en
Publisher: International Monetary Fund
Release Date : 2024-09-11

Kingdom Of Lesotho written by International Monetary Fund. African Dept. and has been published by International Monetary Fund this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-11 with categories.

Kingdom of Lesotho: Selected Issues

Understanding And Predicting Systemic Corporate Distress A Machine Learning Approach

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Author : Ms. Burcu Hacibedel
language : en
Publisher: International Monetary Fund
Release Date : 2022-07-29

Understanding And Predicting Systemic Corporate Distress A Machine Learning Approach written by Ms. Burcu Hacibedel and has been published by International Monetary Fund this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-29 with Business & Economics categories.

In this paper, we study systemic non-financial corporate sector distress using firm-level probabilities of default (PD), covering 55 economies, and spanning the last three decades. Systemic corporate distress is identified by elevated PDs across a large portion of the firms in an economy. A machine-learning based early warning system is constructed to predict the onset of distress in one year’s time. Our results show that credit expansion, monetary policy tightening, overvalued stock prices, and debt-linked balance-sheet weaknesses predict corporate distress. We also find that systemic corporate distress events are associated with contractions in GDP and credit growth in advanced and emerging markets at different degrees and milder than financial crises.

Applied And Theoretical Econometrics And Financial Crises

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Author :
language : en
Publisher: BoD – Books on Demand
Release Date : 2025-06-18

Applied And Theoretical Econometrics And Financial Crises written by and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-18 with Business & Economics categories.

Applied and Theoretical Econometrics and Financial Crises explores the intersection of econometric methods and the dynamics of financial crises. This volume combines rigorous theoretical approaches with real-world applications to examine how econometric models can be used to analyze, predict, and understand the causes and consequences of financial instability. It addresses issues such as structural breaks, non-linear modeling, and volatility dynamics, providing tools to interpret complex financial data and inform strategic decision-making in times of market volatility. This book is ideal for graduate students, researchers in economics and finance, and policy analysts at nonprofit organizations and government agencies, offering insights into model specification, structural breaks, volatility modelling, and crisis forecasting in both historical and contemporary contexts.

Machine Learning For Econometrics

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Author : Christophe Gaillac
language : en
Publisher: Oxford University Press
Release Date : 2025-05-05

Machine Learning For Econometrics written by Christophe Gaillac and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-05 with Business & Economics categories.

Machine Learning for Econometrics is a book for economists seeking to grasp modern machine learning techniques - from their predictive performance to the revolutionary handling of unstructured data - in order to establish causal relationships from data. The volume covers automatic variable selection in various high-dimensional contexts, estimation of treatment effect heterogeneity, natural language processing (NLP) techniques, as well as synthetic control and macroeconomic forecasting. The foundations of machine learning methods are introduced to provide both a thorough theoretical treatment of how they can be used in econometrics and numerous economic applications, and each chapter contains a series of empirical examples, programs, and exercises to facilitate the reader's adoption and implementation of the techniques.

Prediction Learning And Games

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Author : Nicolo Cesa-Bianchi
language : en
Publisher: Cambridge University Press
Release Date : 2006-03-13

Prediction Learning And Games written by Nicolo Cesa-Bianchi and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-03-13 with Computers categories.

This important text and reference for researchers and students in machine learning, game theory, statistics and information theory offers a comprehensive treatment of the problem of predicting individual sequences. Unlike standard statistical approaches to forecasting, prediction of individual sequences does not impose any probabilistic assumption on the data-generating mechanism. Yet, prediction algorithms can be constructed that work well for all possible sequences, in the sense that their performance is always nearly as good as the best forecasting strategy in a given reference class. The central theme is the model of prediction using expert advice, a general framework within which many related problems can be cast and discussed. Repeated game playing, adaptive data compression, sequential investment in the stock market, sequential pattern analysis, and several other problems are viewed as instances of the experts' framework and analyzed from a common nonstochastic standpoint that often reveals new and intriguing connections.

Handbook Of Research On Managerial Thinking In Global Business Economics

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Author : Dinçer, Hasan
language : en
Publisher: IGI Global
Release Date : 2018-12-07

Handbook Of Research On Managerial Thinking In Global Business Economics written by Dinçer, Hasan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-07 with Business & Economics categories.

In a highly competitive global market, companies need to equip themselves with best practices and strategies to survive. Strategic management, innovative managerial thinking, and a clear decision-making process must be utilized to boost company performance and ultimately drive the company’s success. The Handbook of Research on Managerial Thinking in Global Business Economics identifies the importance of strategic decision making in competitive environments and analyzes the impacts of managerial thinking on global financial economics. The content within this publication examines globalization, consumer behavior, and risk management. It is designed for researchers, academicians, policymakers, government officials, and managers, and covers topics centered on innovation and development within organizations.

Application Of Big Data Deep Learning Machine Learning And Other Advanced Analytical Techniques In Environmental Economics And Policy

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Author : Tsun Se Cheong
language : en
Publisher: Frontiers Media SA
Release Date : 2022-07-25

Application Of Big Data Deep Learning Machine Learning And Other Advanced Analytical Techniques In Environmental Economics And Policy written by Tsun Se Cheong and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-25 with Technology & Engineering categories.