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Overfitting In Judgment Based Economic Forecasts The Case Of Imf Growth Projections
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Book Synopsis Overfitting in Judgment-based Economic Forecasts: The Case of IMF Growth Projections by : Klaus-Peter Hellwig
Download or read book Overfitting in Judgment-based Economic Forecasts: The Case of IMF Growth Projections written by Klaus-Peter Hellwig and published by International Monetary Fund. This book was released on 2018-12-07 with total page 43 pages. Available in PDF, EPUB and Kindle. Book excerpt: I regress real GDP growth rates on the IMF’s growth forecasts and find that IMF forecasts behave similarly to those generated by overfitted models, placing too much weight on observable predictors and underestimating the forces of mean reversion. I identify several such variables that explain forecasts well but are not predictors of actual growth. I show that, at long horizons, IMF forecasts are little better than a forecasting rule that uses no information other than the historical global sample average growth rate (i.e., a constant). Given the large noise component in forecasts, particularly at longer horizons, the paper calls into question the usefulness of judgment-based medium and long-run forecasts for policy analysis, including for debt sustainability assessments, and points to statistical methods to improve forecast accuracy by taking into account the risk of overfitting.
Book Synopsis Strategic Foresight at the International Monetary Fund by : Mr. Alberto Behar
Download or read book Strategic Foresight at the International Monetary Fund written by Mr. Alberto Behar and published by International Monetary Fund. This book was released on 2021-12-22 with total page 41 pages. Available in PDF, EPUB and Kindle. Book excerpt: This note explains the value of strategic foresight and provides implementation advice based on the IMF’s experience with scenario planning and policy gaming. Section II provides an overview of strategic foresight and some of its tools. Scenario planning and policy gaming have been the Fund’s main foresight techniques so far, though other tools have been complementary. Accordingly, section III focuses on the scenario planning by illustrating applications before detailing the methods we have been using, while section IV describes policy gaming including the matrix policy gaming approach with which we have experimented so far. Section V summarizes the key points. In so doing, the note extends an invitation to those in the economics and finance fields (e.g., researchers, policymakers) to incorporate strategic foresight in their analysis and decision making.
Book Synopsis Predicting Fiscal Crises: A Machine Learning Approach by : Klaus-Peter Hellwig
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.
Book Synopsis On the Macroeconomic Consequences of Over-Optimism by : Paul Beaudry
Download or read book On the Macroeconomic Consequences of Over-Optimism written by Paul Beaudry and published by International Monetary Fund. This book was released on 2018-05-30 with total page 43 pages. Available in PDF, EPUB and Kindle. Book excerpt: Is over-optimism about a country's future growth perspective good for an economy, or does over-optimism also come with costs? In this paper we provide evidence that recessions, fiscal problems, as well as Balance of Payment-difficulties are more likely to arise in countries where past growth expectations have been overly optimistic. To examine this question, we look at the medium-run effects of instances of over-optimism or caution in IMF forecasts. To isolate the causal effect of over-optimism we take an instrumental variables approach, where we exploit variation provided by the allocation of IMF Mission Chiefs across countries. As a necessary first step, we document that IMF Mission Chiefs tend to systematically differ in their individual degrees of forecast-optimism or caution. The mechanism that transforms over-optimism into a later recession seems to run through higher debt accumulation, both public and private. Our findings illustrate the potency of unjustified optimism and underline the importance of basing economic forecasts upon realistic medium-term prospects.
Book Synopsis Lasso Regressions and Forecasting Models in Applied Stress Testing by : Mr.Jorge A. Chan-Lau
Download or read book Lasso Regressions and Forecasting Models in Applied Stress Testing written by Mr.Jorge A. Chan-Lau and published by International Monetary Fund. This book was released on 2017-05-05 with total page 34 pages. Available in PDF, EPUB and Kindle. Book excerpt: Model selection and forecasting in stress tests can be facilitated using machine learning techniques. These techniques have proved robust in other fields for dealing with the curse of dimensionality, a situation often encountered in applied stress testing. Lasso regressions, in particular, are well suited for building forecasting models when the number of potential covariates is large, and the number of observations is small or roughly equal to the number of covariates. This paper presents a conceptual overview of lasso regressions, explains how they fit in applied stress tests, describes its advantages over other model selection methods, and illustrates their application by constructing forecasting models of sectoral probabilities of default in an advanced emerging market economy.
Book Synopsis Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance by : El Bachir Boukherouaa
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.
Book Synopsis Growth at Risk: Concept and Application in IMF Country Surveillance by : Mr.Ananthakrishnan Prasad
Download or read book Growth at Risk: Concept and Application in IMF Country Surveillance written by Mr.Ananthakrishnan Prasad and published by International Monetary Fund. This book was released on 2019-02-21 with total page 39 pages. Available in PDF, EPUB and Kindle. Book excerpt: The growth-at-risk (GaR) framework links current macrofinancial conditions to the distribution of future growth. Its main strength is its ability to assess the entire distribution of future GDP growth (in contrast to point forecasts), quantify macrofinancial risks in terms of growth, and monitor the evolution of risks to economic activity over time. By using GaR analysis, policymakers can quantify the likelihood of risk scenarios, which would serve as a basis for preemptive action. This paper offers practical guidance on how to conduct GaR analysis and draws lessons from country case studies. It also discusses an Excel-based GaR tool developed to support the IMF’s bilateral surveillance efforts.
Book Synopsis Completing the Market: Generating Shadow CDS Spreads by Machine Learning by : Nan Hu
Download or read book Completing the Market: Generating Shadow CDS Spreads by Machine Learning written by Nan Hu and published by International Monetary Fund. This book was released on 2019-12-27 with total page 37 pages. Available in PDF, EPUB and Kindle. Book excerpt: We compared the predictive performance of a series of machine learning and traditional methods for monthly CDS spreads, using firms’ accounting-based, market-based and macroeconomics variables for a time period of 2006 to 2016. We find that ensemble machine learning methods (Bagging, Gradient Boosting and Random Forest) strongly outperform other estimators, and Bagging particularly stands out in terms of accuracy. Traditional credit risk models using OLS techniques have the lowest out-of-sample prediction accuracy. The results suggest that the non-linear machine learning methods, especially the ensemble methods, add considerable value to existent credit risk prediction accuracy and enable CDS shadow pricing for companies missing those securities.
Author :International Monetary Fund. Monetary and Financial Systems Dept. Publisher :International Monetary Fund ISBN 13 :1484308395 Total Pages :139 pages Book Rating :4.4/5 (843 download)
Book Synopsis Global Financial Stability Report, October 2017 by : International Monetary Fund. Monetary and Financial Systems Dept.
Download or read book Global Financial Stability Report, October 2017 written by International Monetary Fund. Monetary and Financial Systems Dept. and published by International Monetary Fund. This book was released on 2017-10-11 with total page 139 pages. Available in PDF, EPUB and Kindle. Book excerpt: The October 2017 Global Financial Stability Report finds that the global financial system continues to strengthen in response to extraordinary policy support, regulatory enhancements, and the cyclical upturn in growth. It also includes a chapter that examines the short- and medium-term implications for economic growth and financial stability of the past decades’ rise in household debt. It documents large differences in household debt-to-GDP ratios across countries but a common increasing trajectory that was moderated but not reversed by the global financial crisis. Another chapter develops a new macroeconomic measure of financial stability by linking financial conditions to the probability distribution of future GDP growth and applies it to a set of 20 major advanced and emerging market economies. The chapter shows that changes in financial conditions shift the whole distribution of future GDP growth.
Book Synopsis Economic Growth in Latin America and the Caribbean by : Norman Loayza
Download or read book Economic Growth in Latin America and the Caribbean written by Norman Loayza and published by World Bank Publications. This book was released on 2005-01-01 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt: Several countries in Latin America and the Caribbean are suffering severe economic downturns and the success of market-oriented reforms is being called into question. This report seeks to contribute to the debate by examining the nature of economic growth in the region. The aim is threefold: to describe the basic characteristics of growth; explain differences across countries and to forecast changes over the next decade.
Book Synopsis Policies for Macrofinancial Stability by : Mr.Bas B. Bakker
Download or read book Policies for Macrofinancial Stability written by Mr.Bas B. Bakker and published by International Monetary Fund. This book was released on 2012-06-07 with total page 46 pages. Available in PDF, EPUB and Kindle. Book excerpt: This note explores the costs and benefits of different policy options to reduce the risks associated with credit booms, drawing upon several country experiences and the findings from econometric analysis.
Download or read book Pension Reform written by Robert Holzmann and published by World Bank Publications. This book was released on 2006 with total page 692 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents 25 state of the art papers on the conceptual foundations and issues surrounding Non-financial, or Notional, Defined Contribution (NDC), country implementation of NDC (Italy, Latvia, Poland, and Sweden) and case studies for countries where NDC is figured in the reform debate. This book is intended to be a handbook for academics and policy makers who want to become informed about what NDC is and to learn about the pros and cons of this attractive reform proposal.
Book Synopsis FinTech in Financial Inclusion: Machine Learning Applications in Assessing Credit Risk by : Majid Bazarbash
Download or read book FinTech in Financial Inclusion: Machine Learning Applications in Assessing Credit Risk written by Majid Bazarbash and published by International Monetary Fund. This book was released on 2019-05-17 with total page 34 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent advances in digital technology and big data have allowed FinTech (financial technology) lending to emerge as a potentially promising solution to reduce the cost of credit and increase financial inclusion. However, machine learning (ML) methods that lie at the heart of FinTech credit have remained largely a black box for the nontechnical audience. This paper contributes to the literature by discussing potential strengths and weaknesses of ML-based credit assessment through (1) presenting core ideas and the most common techniques in ML for the nontechnical audience; and (2) discussing the fundamental challenges in credit risk analysis. FinTech credit has the potential to enhance financial inclusion and outperform traditional credit scoring by (1) leveraging nontraditional data sources to improve the assessment of the borrower’s track record; (2) appraising collateral value; (3) forecasting income prospects; and (4) predicting changes in general conditions. However, because of the central role of data in ML-based analysis, data relevance should be ensured, especially in situations when a deep structural change occurs, when borrowers could counterfeit certain indicators, and when agency problems arising from information asymmetry could not be resolved. To avoid digital financial exclusion and redlining, variables that trigger discrimination should not be used to assess credit rating.
Book Synopsis OECD Sovereign Borrowing Outlook 2021 by : OECD
Download or read book OECD Sovereign Borrowing Outlook 2021 written by OECD and published by OECD Publishing. This book was released on 2021-05-20 with total page 94 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edition of the OECD Sovereign Borrowing Outlook reviews developments in response to the COVID-19 pandemic for government borrowing needs, funding conditions and funding strategies in the OECD area.
Book Synopsis Handbook on Poverty + Inequality by : Jonathan Haughton
Download or read book Handbook on Poverty + Inequality written by Jonathan Haughton and published by World Bank Publications. This book was released on 2009-03-27 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: For anyone wanting to learn, in practical terms, how to measure, describe, monitor, evaluate, and analyze poverty, this Handbook is the place to start. It is designed to be accessible to people with a university-level background in science or the social sciences. It is an invaluable tool for policy analysts, researchers, college students, and government officials working on policy issues related to poverty and inequality.
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 300 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.
Book Synopsis Prediction, Learning, and Games by : Nicolo Cesa-Bianchi
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.
