Macroeconomic Forecasting Using Alternative Data

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  • Publisher : Academic Press
  • Release : 01 December 2020
  • ISBN : 9780128191224
  • Page : 250 pages
  • Rating : 4.5/5 from 103 voters

Macroeconomic Forecasting Using Alternative Data Book PDF summary

Macroeconomic Forecasting Using Alternative Data: Techniques for Applying Big Data and Machine Learning applies computer science to the demands of macroeconomic forecasting. It is the first book to combine machine learning methods with macroeconomics. By using artificial intelligence and machine learning techniques, it unlocks the increased forecasting accuracy offered by alternative data sources. Through its interdisciplinary approach, readers learn how to use big datasets efficiently and effectively. Combines big data/machine learning with macroeconomic forecasting Explains how alternative data improves forecasting accuracy when controlled for traditional data sources Provides new innovative methods for handling large databases and improving forecasting accuracy

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Macroeconomic Forecasting Using Alternative Data

Macroeconomic Forecasting Using Alternative Data
  • Author : Apurv Jain
  • Publisher : Academic Press
  • Release Date : 2020-12-01
  • ISBN : 9780128191224
DOWNLOAD BOOKMacroeconomic Forecasting Using Alternative Data

Macroeconomic Forecasting Using Alternative Data: Techniques for Applying Big Data and Machine Learning applies computer science to the demands of macroeconomic forecasting. It is the first book to combine machine learning methods with macroeconomics. By using artificial intelligence and machine learning techniques, it unlocks the increased forecasting accuracy offered by alternative data sources. Through its interdisciplinary approach, readers learn how to use big datasets efficiently and effectively. Combines big data/machine learning with macroeconomic forecasting Explains how alternative data improves

Macro Forecasting Using Alternative Data

Macro Forecasting Using Alternative Data
  • Author : Apurv Jain
  • Publisher : Unknown
  • Release Date : 2019
  • ISBN : OCLC:1304265178
DOWNLOAD BOOKMacro Forecasting Using Alternative Data

Traditional macroeconomic data used by economic agents to make decisions are noisy, lack richness, and produced with considerable lag. This chapter explores how alternative, web-scale data sources (“Big Data”) can help. We present a case study using a common alternative data source- web search to predict one of the most important data releases- non-farm payrolls (NFP). We discuss the efficacy of various machine learning (ML) techniques, the live performance of alternative data prediction models and the typical problems faced in

Does Alternative Data Improve Financial Forecasting?

Does Alternative Data Improve Financial Forecasting?
  • Author : Olivier Dessaint,Thierry Foucault,Laurent Frésard
  • Publisher : Unknown
  • Release Date : 2021
  • ISBN : OCLC:1262661520
DOWNLOAD BOOKDoes Alternative Data Improve Financial Forecasting?

We analyze the effect of alternative data on the informativeness of financial forecasts. Our starting hypothesis is that the emergence of alternative data reduces the cost of obtaining information about firms' short-term cash-flows more than their long-term cash-flows. If correct, and forecasting short-term and long-term cash-flows are distinct tasks, analysts will reduce effort to process long-term information when alternative data become available. Alternative data thus makes long-term forecasts less informative, while increasing the informativeness of short-term forecasts. We confirm this

Macroeconomic Forecasting in the Era of Big Data

Macroeconomic Forecasting in the Era of Big Data
  • Author : Peter Fuleky
  • Publisher : Springer Nature
  • Release Date : 2019-11-28
  • ISBN : 9783030311506
DOWNLOAD BOOKMacroeconomic 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

Fintech with Artificial Intelligence, Big Data, and Blockchain

Fintech with Artificial Intelligence, Big Data, and Blockchain
  • Author : Paul Moon Sub Choi,Seth H. Huang
  • Publisher : Springer Nature
  • Release Date : 2021-03-08
  • ISBN : 9789813361379
DOWNLOAD BOOKFintech with Artificial Intelligence, Big Data, and Blockchain

This book introduces readers to recent advancements in financial technologies. The contents cover some of the state-of-the-art fields in financial technology, practice, and research associated with artificial intelligence, big data, and blockchain—all of which are transforming the nature of how products and services are designed and delivered, making less adaptable institutions fast become obsolete. The book provides the fundamental framework, research insights, and empirical evidence in the efficacy of these new technologies, employing practical and academic approaches to help

Handbook of US Consumer Economics

Handbook of US Consumer Economics
  • Author : Andrew Haughwout,Benjamin Mandel
  • Publisher : Academic Press
  • Release Date : 2019-08-15
  • ISBN : 9780128135242
DOWNLOAD BOOKHandbook of US Consumer Economics

Handbook of U.S. Consumer Economics presents a deep understanding on key, current topics and a primer on the landscape of contemporary research on the U.S. consumer. This volume reveals new insights into household decision-making on consumption and saving, borrowing and investing, portfolio allocation, demand of professional advice, and retirement choices. Nearly 70% of U.S. gross domestic product is devoted to consumption, making an understanding of the consumer a first order issue in macroeconomics. After all, understanding how households

Handbook of US Consumer Economics

Handbook of US Consumer Economics
  • Author : Andrew Haughwout,Benjamin Mandel
  • Publisher : Academic Press
  • Release Date : 2019-08-12
  • ISBN : 9780128135259
DOWNLOAD BOOKHandbook of US Consumer Economics

Handbook of U.S. Consumer Economics presents a deep understanding on key, current topics and a primer on the landscape of contemporary research on the U.S. consumer. This volume reveals new insights into household decision-making on consumption and saving, borrowing and investing, portfolio allocation, demand of professional advice, and retirement choices. Nearly 70% of U.S. gross domestic product is devoted to consumption, making an understanding of the consumer a first order issue in macroeconomics. After all, understanding how households

Data Science for Economics and Finance

Data Science for Economics and Finance
  • Author : Sergio Consoli,Diego Reforgiato Recupero,Michaela Saisana
  • Publisher : Springer Nature
  • Release Date : 2021
  • ISBN : 9783030668914
DOWNLOAD BOOKData Science for Economics and Finance

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