Efficient Estimation of Forecast Uncertainty Based on Recent Forecast Errors PDF Download
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Author: Malte Knüppel
Publisher:
ISBN: 9783865585653
Category :
Languages : en
Pages : 0
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Book Description
Author: Malte Knüppel
Publisher:
ISBN: 9783865585653
Category :
Languages : en
Pages : 0
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Book Description
Author: Sergio Consoli
Publisher: Springer Nature
ISBN: 3030668916
Category : Application software
Languages : en
Pages : 357
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Book Description
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.
Author: Michael P. Clements
Publisher: OUP USA
ISBN: 0195398645
Category : Business & Economics
Languages : en
Pages : 732
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Book Description
Greater data availability has been coupled with developments in statistical theory and economic theory to allow more elaborate and complicated models to be entertained. These include factor models, DSGE models, restricted vector autoregressions, and non-linear models.
Author: Claudia Foroni
Publisher:
ISBN: 9783865587817
Category :
Languages : en
Pages : 0
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Book Description
Author: Patrick Blagrave
Publisher: International Monetary Fund
ISBN: 1475565135
Category : Business & Economics
Languages : en
Pages : 30
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Book Description
Estimates of potential output are an important ingredient of structured forecasting and policy analysis. Using information on consensus forecasts, this paper extends the multivariate filter developed by Benes and others (2010). Although the estimates in real time are more robust relative to those of naïve statistical filters, there is still significant uncertainty surrounding the estimates. The paper presents estimates for 16 countries and provides an example of how the filtered estimates at the end of the sample period can be improved with additional information.
Author: Enrico Camporeale
Publisher: Elsevier
ISBN: 0128117893
Category : Science
Languages : en
Pages : 454
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Book Description
Machine Learning Techniques for Space Weather provides a thorough and accessible presentation of machine learning techniques that can be employed by space weather professionals. Additionally, it presents an overview of real-world applications in space science to the machine learning community, offering a bridge between the fields. As this volume demonstrates, real advances in space weather can be gained using nontraditional approaches that take into account nonlinear and complex dynamics, including information theory, nonlinear auto-regression models, neural networks and clustering algorithms. Offering practical techniques for translating the huge amount of information hidden in data into useful knowledge that allows for better prediction, this book is a unique and important resource for space physicists, space weather professionals and computer scientists in related fields. - Collects many representative non-traditional approaches to space weather into a single volume - Covers, in an accessible way, the mathematical background that is not often explained in detail for space scientists - Includes free software in the form of simple MATLAB® scripts that allow for replication of results in the book, also familiarizing readers with algorithms
Author: Herman Royer Professor of Political Economy David H Romer
Publisher: Brookings Institution Press
ISBN: 0815724322
Category : Business & Economics
Languages : en
Pages : 423
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Book Description
"Brookings Papers on Economic Activity" (BPEA) provides academic and business economists, government officials, and members of the financial and business communities with timely research on current economic issues. Contents - Democratic Change in the Arab World, Past and Present Eric Chaney (Harvard University) - Disentangling the Channels of the 2007-2009 Recession James Stock (Harvard University) and Mark Watson (Princeton University) - Macroeconomic Effects of FOMC Forward Guidance Jeffrey Campbell, Charles Evans, Jonas Fisher, and Alejandro Justiniano (Federal Reserve Bank of Chicago) - Is the Debt Overhang Holding Back Consumption? Karen Dynan (Brookings Institution) - The Euro's Three Crises Jay Shambaugh (Georgetown University) - Fiscal Policy in a Depressed Economy J. Bradford DeLong (University of California-Berkeley) and Lawrence Summers (Harvard University )
Author: Edouard Challe
Publisher: MIT Press
ISBN: 0262549298
Category : Business & Economics
Languages : en
Pages : 361
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Book Description
The basic tools for analyzing macroeconomic fluctuations and policies, applied to concrete issues and presented within an integrated New Keynesian framework. This textbook presents the basic tools for analyzing macroeconomic fluctuations and policies and applies them to contemporary issues. It employs a unified New Keynesian framework for understanding business cycles, major crises, and macroeconomic policies, introducing students to the approach most often used in academic macroeconomic analysis and by central banks and international institutions. The book addresses such topics as how recessions and crises spread; what instruments central banks and governments have to stimulate activity when private demand is weak; and what “unconventional” macroeconomic policies might work when conventional monetary policy loses its effectiveness (as has happened in many countries in the aftermath of the Great Recession.). The text introduces the foundations of modern business cycle theory through the notions of aggregate demand and aggregate supply, and then applies the theory to the study of regular business-cycle fluctuations in output, inflation, and employment. It considers conventional monetary and fiscal policies aimed at stabilizing the business cycle, and examines unconventional macroeconomic policies, including forward guidance and quantitative easing, in situations of “liquidity trap”—deep crises in which conventional policies are either ineffective or have very different effects than in normal time. This book is the first to use the New Keynesian framework at the advanced undergraduate level, connecting undergraduate learning not only with the more advanced tools taught at the graduate level but also with the large body of policy-oriented research in academic journals. End-of-chapter problems help students master the materials presented.
Author: John Geweke
Publisher: Oxford University Press
ISBN: 0191618268
Category : Business & Economics
Languages : en
Pages : 576
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Book Description
Bayesian econometric methods have enjoyed an increase in popularity in recent years. Econometricians, empirical economists, and policymakers are increasingly making use of Bayesian methods. This handbook is a single source for researchers and policymakers wanting to learn about Bayesian methods in specialized fields, and for graduate students seeking to make the final step from textbook learning to the research frontier. It contains contributions by leading Bayesians on the latest developments in their specific fields of expertise. The volume provides broad coverage of the application of Bayesian econometrics in the major fields of economics and related disciplines, including macroeconomics, microeconomics, finance, and marketing. It reviews the state of the art in Bayesian econometric methodology, with chapters on posterior simulation and Markov chain Monte Carlo methods, Bayesian nonparametric techniques, and the specialized tools used by Bayesian time series econometricians such as state space models and particle filtering. It also includes chapters on Bayesian principles and methodology.
Author: World Bank
Publisher: World Bank Publications
ISBN: 1464815704
Category : Business & Economics
Languages : en
Pages : 64
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Book Description
After a period of rapid economic growth associated with high commodity prices, the region had entered a phase of lackluster performance. Recent developments, including a new oil price shock, and the outbreak of the Covid-19 epidemic will push the region into recession. Many countries are struggling to contain the spread of the Covid-19 epidemic while avoiding a dramatic decline in economic activity. The report analyzes how to think about this tradeoff. It estimates the potential health costs, assesses the effectiveness of diverse containment strategies, and discusses how large the economic cost could be. The current crisis is unprecedented because it combines a fall in global demand, tighter financial conditions and a major supply shock. The response needs to consider how to socialize the losses, how to prevent a collapse of the financial sector, how to protect jobs and livelihoods, and how to manage and divest the assets that will inevitably end up in the hands of the state.
