Economic Forecasting: The State of the Art


Book Description

An overview of the macroeconomic forecasting industry in the United States that explains and evaluates the forecasting techniques used to make predictions about various aspects of the national economy.




Economic Forecasting


Book Description

Economic Forecasting provides a comprehensive overview of macroeconomic forecasting. The focus is first on a wide range of theories as well as empirical methods: business cycle analysis, time series methods, macroeconomic models, medium and long-run projections, fiscal and financial forecasts, and sectoral forecasting. In addition, the book addresses the main issues surrounding the use of forecasts (accuracy, communication challenges) and their policy implications. A tour of the economic data and forecasting institutions is also provided.




Economic Forecasting: The State of the Art


Book Description

An overview of the macroeconomic forecasting industry in the United States that explains and evaluates the forecasting techniques used to make predictions about various aspects of the national economy.




Economic Forecasting and Policy


Book Description

Economic Forecasting provides a comprehensive overview of macroeconomic forecasting. The focus is first on a wide range of theories as well as empirical methods: business cycle analysis, time series methods, macroeconomic models, medium and long-run projections, fiscal and financial forecasts, and sectoral forecasting.




Forecasting Non-stationary Economic Time Series


Book Description

This text on economic forecasting asks why some practices seem to work empirically despite a lack of formal support from theory. After reviewing the conventional approach to forecasting, it looks at the implications for causal modelling, presents forecast errors and delineates sources of failure.




Economic Forecasting


Book Description




Mining Data for Financial Applications


Book Description

This book constitutes revised selected papers from the 5th Workshop on Mining Data for Financial Applications, MIDAS 2020, held in conjunction with ECML PKDD 2020, in Ghent, Belgium, in September 2020.* The 8 full and 3 short papers presented in this volume were carefully reviewed and selected from 15 submissions. They deal with challenges, potentialities, and applications of leveraging data-mining tasks regarding problems in the financial domain. *The workshop was held virtually due to the COVID-19 pandemic. “Information Extraction from the GDELT Database to Analyse EU Sovereign Bond Markets” and “Exploring the Predictive Power of News and Neural Machine Learning Models for Economic Forecasting” are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.




Applied Economic Forecasting Using Time Series Methods


Book Description

Economic forecasting is a key ingredient of decision making in the public and private sectors. This book provides the necessary tools to solve real-world forecasting problems using time-series methods. It targets undergraduate and graduate students as well as researchers in public and private institutions interested in applied economic forecasting.




Forecasting in Business and Economics


Book Description

Describes the major techniques of forecasting used in economics and business. This book focuses on the forecasting of economic data and covers a range of topics, including the description of the Box-Jenkins single series modeling techniques; forecasts from purely statistical and econometric models; nonstationary and nonlinear models; and more.




Fortune Tellers


Book Description

A gripping history of the pioneers who sought to use science to predict financial markets The period leading up to the Great Depression witnessed the rise of the economic forecasters, pioneers who sought to use the tools of science to predict the future, with the aim of profiting from their forecasts. This book chronicles the lives and careers of the men who defined this first wave of economic fortune tellers, men such as Roger Babson, Irving Fisher, John Moody, C. J. Bullock, and Warren Persons. They competed to sell their distinctive methods of prediction to investors and businesses, and thrived in the boom years that followed World War I. Yet, almost to a man, they failed to predict the devastating crash of 1929. Walter Friedman paints vivid portraits of entrepreneurs who shared a belief that the rational world of numbers and reason could tame--or at least foresee--the irrational gyrations of the market. Despite their failures, this first generation of economic forecasters helped to make the prediction of economic trends a central economic activity, and shed light on the mechanics of financial markets by providing a range of statistics and information about individual firms. They also raised questions that are still relevant today. What is science and what is merely guesswork in forecasting? What motivates people to buy forecasts? Does the act of forecasting set in motion unforeseen events that can counteract the forecast made? Masterful and compelling, Fortune Tellers highlights the risk and uncertainty that are inherent to capitalism itself.