Download or read book Predicting Sovereign Debt Crises written by Paolo Manasse and published by International Monetary Fund. This book was released on 2003-11-01 with total page 42 pages. Available in PDF, EPUB and Kindle. Book excerpt: We develop an early-warning model of sovereign debt crises. A country is defined to be in a debt crisis if it is classified as being in default by Standard & Poor's, or if it has access to nonconcessional IMF financing in excess of 100 percent of quota. By means of logit and binary recursive tree analysis, we identify macroeconomic variables reflecting solvency and liquidity factors that predict a debt-crisis episode one year in advance. The logit model predicts 74 percent of all crises entries while sending few false alarms, and the recursive tree 89 percent while sending more false alarms.
Download or read book Predicting Fiscal Crises A Machine Learning Approach written by Klaus-Peter Hellwig and published by International Monetary Fund. This book was released on 2021-05-27 with total page 66 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this paper I assess the ability of econometric and machine learning techniques to predict fiscal crises out of sample. I show that the econometric approaches used in many policy applications cannot outperform a simple heuristic rule of thumb. Machine learning techniques (elastic net, random forest, gradient boosted trees) deliver significant improvements in accuracy. Performance of machine learning techniques improves further, particularly for developing countries, when I expand the set of potential predictors and make use of algorithmic selection techniques instead of relying on a small set of variables deemed important by the literature. There is considerable agreement across learning algorithms in the set of selected predictors: Results confirm the importance of external sector stock and flow variables found in the literature but also point to demographics and the quality of governance as important predictors of fiscal crises. Fiscal variables appear to have less predictive value, and public debt matters only to the extent that it is owed to external creditors.
Download or read book Data Science for Economics and Finance written by Sergio Consoli and published by Springer Nature. This book was released on 2021 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some successful applications of advanced data science solutions used to extract new knowledge from data in order to improve economic forecasting models. The book starts with an introduction on the use of data science technologies in economics and finance and is followed by thirteen chapters showing success stories of the application of specific data science methodologies, touching on particular topics related to novel big data sources and technologies for economic analysis (e.g. social media and news); big data models leveraging on supervised/unsupervised (deep) machine learning; natural language processing to build economic and financial indicators; and forecasting and nowcasting of economic variables through time series analysis. This book is relevant to all stakeholders involved in digital and data-intensive research in economics and finance, helping them to understand the main opportunities and challenges, become familiar with the latest methodological findings, and learn how to use and evaluate the performances of novel tools and frameworks. It primarily targets data scientists and business analysts exploiting data science technologies, and it will also be a useful resource to research students in disciplines and courses related to these topics. Overall, readers will learn modern and effective data science solutions to create tangible innovations for economic and financial applications.
Download or read book Handbook of Research on Computational Science and Engineering Theory and Practice written by Leng, J. and published by IGI Global. This book was released on 2011-10-31 with total page 701 pages. Available in PDF, EPUB and Kindle. Book excerpt: By using computer simulations in research and development, computational science and engineering (CSE) allows empirical inquiry where traditional experimentation and methods of inquiry are difficult, inefficient, or prohibitively expensive. The Handbook of Research on Computational Science and Engineering: Theory and Practice is a reference for interested researchers and decision-makers who want a timely introduction to the possibilities in CSE to advance their ongoing research and applications or to discover new resources and cutting edge developments. Rather than reporting results obtained using CSE models, this comprehensive survey captures the architecture of the cross-disciplinary field, explores the long term implications of technology choices, alerts readers to the hurdles facing CSE, and identifies trends in future development.
Download or read book Methods for Decision Making in an Uncertain Environment written by Jaime Gil Aluja and published by World Scientific. This book was released on 2012 with total page 471 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains a selection of the papers presented at the XVII SIGEF Congress. It presents fuzzy logic, neural networks and other intelligent techniques applied to economic and business problems. This book is very useful for researchers and graduate students aiming to introduce themselves to the field of quantitative techniques for overcoming uncertain environments. The contributors are experienced scholars of different countries who offer real world applications of these mathematical techniques.
Download or read book Handbook of Research on Financial and Banking Crisis Prediction Through Early Warning Systems written by Qaiser Munir and published by . This book was released on 2016 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Addresses the inequity of developed and developing nations from the bottom up through an exploration of current literature, specific case-studies, and data-based recommendations for new crisis indicators. It explores such topics as the Greek debt crisis, electronic banking, and financial crises in developing economies.
Download or read book Empirical Asset Pricing written by Wayne Ferson and published by MIT Press. This book was released on 2019-03-12 with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to the theory and methods of empirical asset pricing, integrating classical foundations with recent developments. This book offers a comprehensive advanced introduction to asset pricing, the study of models for the prices and returns of various securities. The focus is empirical, emphasizing how the models relate to the data. The book offers a uniquely integrated treatment, combining classical foundations with more recent developments in the literature and relating some of the material to applications in investment management. It covers the theory of empirical asset pricing, the main empirical methods, and a range of applied topics. The book introduces the theory of empirical asset pricing through three main paradigms: mean variance analysis, stochastic discount factors, and beta pricing models. It describes empirical methods, beginning with the generalized method of moments (GMM) and viewing other methods as special cases of GMM; offers a comprehensive review of fund performance evaluation; and presents selected applied topics, including a substantial chapter on predictability in asset markets that covers predicting the level of returns, volatility and higher moments, and predicting cross-sectional differences in returns. Other chapters cover production-based asset pricing, long-run risk models, the Campbell-Shiller approximation, the debate on covariance versus characteristics, and the relation of volatility to the cross-section of stock returns. An extensive reference section captures the current state of the field. The book is intended for use by graduate students in finance and economics; it can also serve as a reference for professionals.
Download or read book Advanced Methodologies and Technologies in Artificial Intelligence Computer Simulation and Human Computer Interaction written by Khosrow-Pour, D.B.A., Mehdi and published by IGI Global. This book was released on 2018-09-28 with total page 1456 pages. Available in PDF, EPUB and Kindle. Book excerpt: As modern technologies continue to develop and evolve, the ability of users to adapt with new systems becomes a paramount concern. Research into new ways for humans to make use of advanced computers and other such technologies through artificial intelligence and computer simulation is necessary to fully realize the potential of tools in the 21st century. Advanced Methodologies and Technologies in Artificial Intelligence, Computer Simulation, and Human-Computer Interaction provides emerging research in advanced trends in robotics, AI, simulation, and human-computer interaction. Readers will learn about the positive applications of artificial intelligence and human-computer interaction in various disciples such as business and medicine. This book is a valuable resource for IT professionals, researchers, computer scientists, and researchers invested in assistive technologies, artificial intelligence, robotics, and computer simulation.
Download or read book Debt Is Not Free written by Ms.Marialuz Moreno Badia and published by International Monetary Fund. This book was released on 2020-01-03 with total page 68 pages. Available in PDF, EPUB and Kindle. Book excerpt: With public debt soaring across the world, a growing concern is whether current debt levels are a harbinger of fiscal crises, thereby restricting the policy space in a downturn. The empirical evidence to date is however inconclusive, and the true cost of debt may be overstated if interest rates remain low. To shed light into this debate, this paper re-examines the importance of public debt as a leading indicator of fiscal crises using machine learning techniques to account for complex interactions previously ignored in the literature. We find that public debt is the most important predictor of crises, showing strong non-linearities. Moreover, beyond certain debt levels, the likelihood of crises increases sharply regardless of the interest-growth differential. Our analysis also reveals that the interactions of public debt with inflation and external imbalances can be as important as debt levels. These results, while not necessarily implying causality, show governments should be wary of high public debt even when borrowing costs seem low.
Download or read book On the Benefits of Repaying written by Francesca G Caselli and published by International Monetary Fund. This book was released on 2021-09-10 with total page 50 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper studies whether countries benefit from servicing their debts during times of widespread sovereign defaults. Colombia is typically regarded as the only large Latin American country that did not default in the 1980s. Using archival research and formal econometric estimates of Colombia's probability of default, we show that in the early 1980s Colombia's fundamentals were not significantly different from those of the Latin American countries that defaulted on their debts. We also document that the different path chosen by Colombia was due to the authorities' belief that maintaining a good reputation in the international capital market would have substantial long-term payoffs. We show that the case of Colombia is more complex than what it is commonly assumed. Although Colombia had to re-profile its debts, high-level political support from the US allowed Colombia do to so outside the standard framework of an IMF program. Our counterfactual analysis shows that in the short to medium run, Colombia benefitted from avoiding an explicit default. Specifically, we find that GDP growth in the 1980s was higher than that of a counterfactual in which Colombia behaved like its neighboring countries. We also test whether Colombia's behavior in the 1980s led to long-term reputational benefits. Using an event study based on a large sudden stop, we find no evidence for such long-lasting reputational gains.
Download or read book Business Intelligence in Economic Forecasting Technologies and Techniques written by Wang, Jue and published by IGI Global. This book was released on 2010-06-30 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the rapid development of economic globalization and information technology, the field of economic forecasting continues its expeditious advancement, providing business and government with applicable technologies. This book discusses various business intelligence techniques including neural networks, support vector machine, genetic programming, clustering analysis, TEI@I, fuzzy systems, text mining, and many more. It serves as a valuable reference for professionals and researchers interested in BI technologies and their practical applications in economic forecasting, as well as policy makers in business organizations and governments.
Download or read book New Dynamics in Banking and Finance written by Nesrin Özataç and published by Springer Nature. This book was released on 2022-04-27 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents current developments in the fields of banking and finance from an international perspective. Featuring contributions from the 5th International Conference on Banking and Finance Perspectives (ICBFP), this volume serves as a valuable forum for discussing current issues and trends in the banking and financial sectors, especially in light of the global economic challenges triggered by financial institutions. Using the latest theoretical models, new perspectives are brought to topics such as the global financial markets, international banking and finance, microfinance, fintech, and corporate finance. Offering an opportunity to explore the challenges of a rapidly changing industry, this volume will be of interest to academics, policy makers, and scholars in the fields of banking, insurance, and finance.
Download or read book Powering the Digital Economy Opportunities and Risks of Artificial Intelligence in Finance written by El Bachir Boukherouaa and published by International Monetary Fund. This book was released on 2021-10-22 with total page 35 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Mapping Financial Stability written by Peter Sarlin and published by Springer Science & Business Media. This book was released on 2014-05-08 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book approaches macroprudential oversight from the viewpoint of three tasks. The focus concerns a tight integration of means for risk communication into analytical tools for risk identification and risk assessment. Generally, this book explores approaches for representing complex data concerning financial entities on low-dimensional displays. Data and dimension reduction methods, and their combinations, hold promise for representing multivariate data structures in easily understandable formats. Accordingly, this book creates a Self-Organizing Financial Stability Map (SOFSM), and lays out a general framework for mapping the state of financial stability. Beyond external risk communication, the aim of the visual means is to support disciplined and structured judgmental analysis based upon policymakers' experience and domain intelligence.
Download or read book Prediction Learning and Games written by Nicolo Cesa-Bianchi and published by Cambridge University Press. This book was released on 2006-03-13 with total page 4 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Economia Fall 2009 written by Eduardo Engel and published by Brookings Institution Press. This book was released on 2010-12-01 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tentative contents include Credit Ratings in the Presence of Bailout: The Case of Mexican Subnational Government Debt Fausto Hernández-Trillo and Ricardo Smith-Ramírez (CIDE) Thirty Years of Currency Crises in Argentina: External Shocks or Domestic Fragility? Graciela Kaminsky (George Washington University), Amine Mati (IMF), and Nada Choueiri (IMF) Do Longer School Days Have Enduring Educational, Occupational, or Income Effects? A Natural Experiment on the Effects of Lengthening Primary School Days in Buenos Aires, Argentina Juan J. Llach (IAE-Universidad Austral, Argentina), Cecilia Adrogué (Universidad de San Andrés, Argentina), and María Elina Gigaglia (IAE-Universidad Austral) Who Saw Sovereign Debt Crises Coming? Sebastián Nieto-Parra (OECD)
Download or read book Advances in Knowledge based and Intelligent Information and Engineering Systems written by Manuel Graña and published by IOS Press. This book was released on 2012 with total page 2306 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this 2012 edition of Advances in Knowledge-Based and Intelligent Information and Engineering Systems the latest innovations and advances in Intelligent Systems and related areas are presented by leading experts from all over the world. The 228 papers that are included cover a wide range of topics. One emphasis is on Information Processing, which has become a pervasive phenomenon in our civilization. While the majority of Information Processing is becoming intelligent in a very broad sense, major research in Semantics, Artificial Intelligence and Knowledge Engineering supports the domain specific applications that are becoming more and more present in our everyday living. Ontologies play a major role in the development of Knowledge Engineering in various domains, from Semantic Web down to the design of specific Decision Support Systems. Research on Ontologies and their applications is a highly active front of current Computational Intelligence science that is addressed here. Other subjects in this volume are modern Machine Learning, Lattice Computing and Mathematical Morphology.The wide scope and high quality of these contributions clearly show that knowledge engineering is a continuous living and evolving set of technologies aimed at improving the design and understanding of systems and their relations with humans.
