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Macroeconomic Forecasting in the Era of Big Data

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Macroeconomic Forecasting in the Era of Big Data
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  • Author : Peter Fuleky
  • Publisher : Springer Nature
  • Pages : 719 pages
  • ISBN : 3030311503
  • Rating : /5 from reviews
CLICK HERE TO GET THIS BOOK >>>Macroeconomic Forecasting in the Era of Big Data

Download or Read online Macroeconomic Forecasting in the Era of Big Data full in PDF, ePub and kindle. this book written by Peter Fuleky and published by Springer Nature which was released on 28 November 2019 with total page 719 pages. We cannot guarantee that Macroeconomic Forecasting in the Era of Big Data book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. This book surveys big data tools used in macroeconomic forecasting and addresses related econometric issues, including how to capture dynamic relationships among variables; how to select parsimonious models; how to deal with model uncertainty, instability, non-stationarity, and mixed frequency data; and how to evaluate forecasts, among others. Each chapter is self-contained with references, and provides solid background information, while also reviewing the latest advances in the field. Accordingly, the book offers a valuable resource for researchers, professional forecasters, and students of quantitative economics.

Macroeconomic Forecasting in the Era of Big Data

Macroeconomic Forecasting in the Era of Big Data
  • Author : Peter Fuleky
  • Publisher : Springer Nature
  • Release : 28 November 2019
GET THIS BOOK Macroeconomic Forecasting in the Era of Big Data

This book surveys big data tools used in macroeconomic forecasting and addresses related econometric issues, including how to capture dynamic relationships among variables; how to select parsimonious models; how to deal with model uncertainty, instability, non-stationarity, and mixed frequency data; and how to evaluate forecasts, among others. Each chapter is self-contained with references, and provides solid background information, while also reviewing the latest advances in the field. Accordingly, the book offers a valuable resource for researchers, professional forecasters, and students

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  • Publisher : IGI Global
  • Release : 25 September 2020
GET THIS BOOK Recent Applications of Financial Risk Modelling and Portfolio Management

In today’s financial market, portfolio and risk management are facing an array of challenges. This is due to increasing levels of knowledge and data that are being made available that have caused a multitude of different investment models to be explored and implemented. Professionals and researchers in this field are in need of up-to-date research that analyzes these contemporary models of practice and keeps pace with the advancements being made within financial risk modelling and portfolio control. Recent Applications

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  • Publisher : Springer Nature
  • Release : 14 December 2020
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This book presents the latest advances in machine intelligence and big data analytics to improve early warning of cyber-attacks, for cybersecurity intrusion detection and monitoring, and malware analysis. Cyber-attacks have posed real and wide-ranging threats for the information society. Detecting cyber-attacks becomes a challenge, not only because of the sophistication of attacks but also because of the large scale and complex nature of today’s IT infrastructures. It discusses novel trends and achievements in machine intelligence and their role in

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  • Publisher : Springer
  • Release : 30 November 2017
GET THIS BOOK Predictive Econometrics and Big Data

This book presents recent research on predictive econometrics and big data. Gathering edited papers presented at the 11th International Conference of the Thailand Econometric Society (TES2018), held in Chiang Mai, Thailand, on January 10-12, 2018, its main focus is on predictive techniques – which directly aim at predicting economic phenomena; and big data techniques – which enable us to handle the enormous amounts of data generated by modern computers in a reasonable time. The book also discusses the applications of more traditional statistical

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  • Publisher : Unknown
  • Release : 20 April 1997
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Broadly defined, macroeconomic forecasting is alive and well. Nonstructural forecasting which is based largely on reduced-form correlations, has always been well and continues to" improve. Structural forecasting, which aligns itself with economic theory and hence rises and" falls with theory, receded following the decline of Keynesian theory. In recent years powerful new dynamic stochastic general equilibrium theory has been developed macroeconomic forecasting is poised for resurgence.

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  • Publisher : Springer Nature
  • Release : 10 October 2020
GET THIS BOOK Economic Systems in the New Era Stable Systems in an Unstable World

This proceedings book presents outcomes of the Innovative Economic Symposium – 2020 organized by the Institute of Technology and Business in České Budějovice (VŠTE) in Russia in collaboration with two universities: Financial University under the Government of the Russian Federation (Moscow) and Samara State University of Economics (Samara). The symposium aims to bring together experts and young scientists in economy, management, international relations, finance, marketing, and professional education from Asian and European countries, to share knowledge and experience and discuss