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 Predicting Fiscal Crises written by Ms.Svetlana Cerovic and published by International Monetary Fund. This book was released on 2018-08-03 with total page 42 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper identifies leading indicators of fiscal crises based on a large sample of countries at different stages of development over 1970-2015. Our results are robust to different methodologies and sample periods. Previous literature on early warning sistems (EWS) for fiscal crises is scarce and based on small samples of advanced and emerging markets, raising doubts about the robustness of the results. Using a larger sample, our analysis shows that both nonfiscal (external and internal imbalances) and fiscal variables help predict crises among advanced and emerging economies. Our models performed well in out-of-sample forecasting and in predicting the most recent crises, a weakness of EWS in general. We also build EWS for low income countries, which had been overlooked in the literature.
Download or read book Predicting Fiscal Crises written by Svetlana Cerovic and published by . This book was released on 2018 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper identifies leading indicators of fiscal crises based on a large sample of countries at different stages of development over 1970-2015. Our results are robust to different methodologies and sample periods. Previous literature on early warning sistems (EWS) for fiscal crises is scarce and based on small samples of advanced and emerging markets, raising doubts about the robustness of the results. Using a larger sample, our analysis shows that both nonfiscal (external and internal imbalances) and fiscal variables help predict crises among advanced and emerging economies. Our models performed well in out-of-sample forecasting and in predicting the most recent crises, a weakness of EWS in general. We also build EWS for low income countries, which had been overlooked in the literature.
Download or read book Predicting Sovereign Fiscal Crises written by Betty Carolyn Daniel and published by . This book was released on 2015 with total page 41 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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.
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 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 Financial Crises Explanations Types and Implications written by Mr.Stijn Claessens and published by International Monetary Fund. This book was released on 2013-01-30 with total page 66 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper reviews the literature on financial crises focusing on three specific aspects. First, what are the main factors explaining financial crises? Since many theories on the sources of financial crises highlight the importance of sharp fluctuations in asset and credit markets, the paper briefly reviews theoretical and empirical studies on developments in these markets around financial crises. Second, what are the major types of financial crises? The paper focuses on the main theoretical and empirical explanations of four types of financial crises—currency crises, sudden stops, debt crises, and banking crises—and presents a survey of the literature that attempts to identify these episodes. Third, what are the real and financial sector implications of crises? The paper briefly reviews the short- and medium-run implications of crises for the real economy and financial sector. It concludes with a summary of the main lessons from the literature and future research directions.
Download or read book The Feasibility of Predicting Financial Crises using Machine Learning written by Julia Markhovski and published by GRIN Verlag. This book was released on 2024-03-26 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bachelor Thesis from the year 2024 in the subject Computer Science - Commercial Information Technology, grade: 1.0, Frankfurt School of Finance & Management, language: English, abstract: In a world characterized by increasingly complex financial markets, the prediction of financial crises is a constant challenge. This bachelor thesis investigates the use of machine learning, in particular regression algorithms, to analyze and predict financial crises based on macroeconomic data. By building six different regression models and optimizing them using cross-validation and GridSearch, the feasibility of using these technologies for accurate predictions is discussed. Although traditional models show limited effectiveness, the integration of machine learning, especially kNN algorithms, reveals significant potential for improving prediction accuracy. The paper highlights the importance of classification algorithms and provides crucial insights for application in real-world scenarios to provide valuable tools for policy and business decision makers.
Download or read book The Challenge of Predicting Economic Crises written by Ms.Catherine A. Pattillo and published by International Monetary Fund. This book was released on 2000-09-11 with total page 22 pages. Available in PDF, EPUB and Kindle. Book excerpt: The integration of financial markets around the world over the past decade has posed new challenges for policymakers. The speed with which money can be switched in and out of currencies and countries has increased with the efficiency of global communications, considerably shortening the time policymakers have to respond to emerging crises. This pamphlet takes alook at attempts by economists to predict crises by developing early warning systems to signal when trouble may be brewing in currency markets and banking systems.
Download or read book Forecasts in Times of Crises written by Theo S. Eicher and published by International Monetary Fund. This book was released on 2018-03-09 with total page 33 pages. Available in PDF, EPUB and Kindle. Book excerpt: Financial crises pose unique challenges for forecast accuracy. Using the IMF’s Monitoring of Fund Arrangement (MONA) database, we conduct the most comprehensive evaluation of IMF forecasts to date for countries in times of crises. We examine 29 macroeconomic variables in terms of bias, efficiency, and information content to find that IMF forecasts add substantial informational value as they consistently outperform naive forecast approaches. However, we also document that there is room for improvement: two thirds of the key macroeconomic variables that we examine are forecast inefficiently and 6 variables (growth of nominal GDP, public investment, private investment, the current account, net transfers, and government expenditures) exhibit significant forecast bias. Forecasts for low-income countries are the main drivers of forecast bias and inefficiency, reflecting perhaps larger shocks and lower data quality. When we decompose the forecast errors into their sources, we find that forecast errors for private consumption growth are the key contributor to GDP growth forecast errors. Similarly, forecast errors for non-interest expenditure growth and tax revenue growth are crucial determinants of the forecast errors in the growth of fiscal budgets. Forecast errors for balance of payments growth are significantly influenced by forecast errors in goods import growth. The results highlight which macroeconomic aggregates require further attention in future forecast models for countries in crises.
Download or read book Early Warning Systems for Financial Crises written by Asian Development Bank and published by Springer. This book was released on 2005-02-15 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the 1997 Asian financial crisis, East Asia has implemented a number of initiatives designed to strengthen monetary and financial cooperation, bolstering the region's resilience to economic and financial vulnerabilities. One such initiative is the ASEAN+3 Information Exchange and Policy Dialogue, which includes development of early warning systems (EWS) for financial crises. This book examines efforts to develop EWS models. Specifically, the book analyzes the current understanding of the causes of currency and banking crises, describes recent progress in developing and applying EWS models for currency and banking crises, reviews methodolgical issues, assesses the predictive power of EWS models and also highlights areas where further research is required to make these models more effective tools for policy analysis. The case studies apply both parametric and nonparametric approaches to EWS modleing using data from six East Asian countries.
Download or read book Does Financial Connectedness Predict Crises written by Ms.Camelia Minoiu and published by International Monetary Fund. This book was released on 2013-12-24 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt: The global financial crisis has reignited interest in models of crisis prediction. It has also raised the question whether financial connectedness - a possible source of systemic risk - can serve as an early warning indicator of crises. In this paper we examine the ability of connectedness in the global network of financial linkages to predict systemic banking crises. Our results indicate that increases in a country's financial interconnectedness and decreases in its neighbors' connectedness are associated with a higher probability of banking crises after controlling for macroeconomic fundamentals.
Download or read book Forecasting Fiscal Crises in Emerging Markets and Low income Countries with Machine Learning Models written by Raffaele De Marchi and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Predicting Fiscal Crises written by Ms.Svetlana Cerovic and published by International Monetary Fund. This book was released on 2018-08-03 with total page 42 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper identifies leading indicators of fiscal crises based on a large sample of countries at different stages of development over 1970-2015. Our results are robust to different methodologies and sample periods. Previous literature on early warning sistems (EWS) for fiscal crises is scarce and based on small samples of advanced and emerging markets, raising doubts about the robustness of the results. Using a larger sample, our analysis shows that both nonfiscal (external and internal imbalances) and fiscal variables help predict crises among advanced and emerging economies. Our models performed well in out-of-sample forecasting and in predicting the most recent crises, a weakness of EWS in general. We also build EWS for low income countries, which had been overlooked in the literature.
Download or read book Predicting Financial Crises The Role of Asset Prices written by Tristan Hennig and published by International Monetary Fund. This book was released on 2023-08-04 with total page 49 pages. Available in PDF, EPUB and Kindle. Book excerpt: We explore the early warning properties of a composite indicator which summarizes signals from a range of asset price growth and asset price volatility indicators to capture mispricing of risk in asset markets. Using a quarterly panel of 108 advanced and emerging economies over 1995-2017, we show that the combination of rapid asset price growth and low asset price volatility is a good predictor of future financial crises. Elevated levels of our indicator significantly increase the probability of entering a crisis within the next three years relative to normal times when the indicator is not elevated. The indicator outperforms credit-based early warning metrics, a result robust to prediction horizons, methodological choices, and income groups. Our results are consistent with the idea that measures based on asset prices can offer critical information about systemic risk levels to policymakers.
Download or read book Fiscal Vulnerability and Financial Crises in Emerging Market Economies written by Mr.Richard Hemming and published by International Monetary Fund. This book was released on 2003-05-23 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent crises in Argentina and Turkey illustrate the continuing importance of fiscal problems in precipitating financial crises, and whatever their cause, financial crises always have important fiscal dimensions. market economies, particularly with regards to the fiscal causes of crises; fiscal vulnerability indicators which can help to predict crises; whether fiscal variables explain the severity of crises; and the fiscal consequences of crises. The study uses a large set of fiscal variables for 29 emerging market economies over the period 1970-2000; as well as detailed case studies of 11 recent crises in emerging market economies to examine some of the structural and institutional dimensions of fiscal vulnerability.
