Skip to main content

Macroeconomic Forecasting Using Alternative Data

In Order to Read Online or Download Macroeconomic Forecasting Using Alternative Data Full eBooks in PDF, EPUB, Tuebl and Mobi you need to create a Free account. Get any books you like and read everywhere you want. Fast Download Speed ~ Commercial & Ad Free. We cannot guarantee that every book is in the library!

Macroeconomic Forecasting Using Alternative Data

Macroeconomic Forecasting Using Alternative Data Book
Author : Apurv Jain
Publisher : Academic Press
Release : 2020-08
ISBN : 9780128191217
Language : En, Es, Fr & De

GET BOOK

Book Description :

Macroeconomic Forecasting Using Alternative Data 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 improve forecasting accuracy when controlled for traditional data sources Provides new innovative methods for handling large databases and improving forecasting accuracy

Macro Forecasting Using Alternative Data

Macro Forecasting Using Alternative Data Book
Author : Apurv Jain
Publisher : Unknown
Release : 2019
ISBN : 0987650XXX
Language : En, Es, Fr & De

GET BOOK

Book Description :

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 practice.

Does Alternative Data Improve Financial Forecasting

Does Alternative Data Improve Financial Forecasting  Book
Author : Olivier Dessaint,Thierry Foucault,Laurent Frésard
Publisher : Unknown
Release : 2021
ISBN : 0987650XXX
Language : En, Es, Fr & De

GET BOOK

Book Description :

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 prediction using variations in analysts' exposure to social media data and a new measure of forecast informativeness at various horizons.

Fintech with Artificial Intelligence Big Data and Blockchain

Fintech with Artificial Intelligence  Big Data  and Blockchain Book
Author : Paul Moon Sub Choi,Seth H. Huang
Publisher : Springer Nature
Release : 2021-03-08
ISBN : 9813361379
Language : En, Es, Fr & De

GET BOOK

Book Description :

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 professionals and academics reach innovative solutions and grow competitive strengths.

Handbook of US Consumer Economics

Handbook of US Consumer Economics Book
Author : Andrew Haughwout,Benjamin Mandel
Publisher : Academic Press
Release : 2019-08-15
ISBN : 0128135247
Language : En, Es, Fr & De

GET BOOK

Book Description :

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 played an important role in the boom and bust cycle that led to the financial crisis and recent great recession is a key metric. Introduces household finance by examining consumption and borrowing choices Tackles macro-problems by observing new, original micro-data Looks into the future of consumer spending by using data, not questionnaires

Macroeconomic Forecasting in the Era of Big Data

Macroeconomic Forecasting in the Era of Big Data Book
Author : Peter Fuleky
Publisher : Springer Nature
Release : 2019-11-28
ISBN : 3030311503
Language : En, Es, Fr & De

GET BOOK

Book Description :

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.

Data Science for Economics and Finance

Data Science for Economics and Finance Book
Author : Sergio Consoli,Diego Reforgiato Recupero,Michaela Saisana
Publisher : Springer Nature
Release : 2021
ISBN : 3030668916
Language : En, Es, Fr & De

GET BOOK

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.

A Companion to Economic Forecasting

A Companion to Economic Forecasting Book
Author : Michael P. Clements,David F. Hendry
Publisher : John Wiley & Sons
Release : 2008-04-15
ISBN : 140517191X
Language : En, Es, Fr & De

GET BOOK

Book Description :

A Companion to Economic Forecasting provides an accessible and comprehensive account of recent developments in economic forecasting. Each of the chapters has been specially written by an expert in the field, bringing together in a single volume a range of contrasting approaches and views. Uniquely surveying forecasting in a single volume, the Companion provides a comprehensive account of the leading approaches and modeling strategies that are routinely employed.

The Book of Alternative Data

The Book of Alternative Data Book
Author : Alexander Denev,Saeed Amen
Publisher : John Wiley & Sons
Release : 2020-06-29
ISBN : 1119601800
Language : En, Es, Fr & De

GET BOOK

Book Description :

The first and only book to systematically address methodologies and processes of leveraging non-traditional information sources in the context of investing and risk management Harnessing non-traditional data sources to generate alpha, analyze markets, and forecast risk is a subject of intense interest for financial professionals. A growing number of regularly-held conferences on alternative data are being established, complemented by an upsurge in new papers on the subject. Alternative data is starting to be steadily incorporated by conventional institutional investors and risk managers throughout the financial world. Methodologies to analyze and extract value from alternative data, guidance on how to source data and integrate data flows within existing systems is currently not treated in literature. Filling this significant gap in knowledge, The Book of Alternative Data is the first and only book to offer a coherent, systematic treatment of the subject. This groundbreaking volume provides readers with a roadmap for navigating the complexities of an array of alternative data sources, and delivers the appropriate techniques to analyze them. The authors—leading experts in financial modeling, machine learning, and quantitative research and analytics—employ a step-by-step approach to guide readers through the dense jungle of generated data. A first-of-its kind treatment of alternative data types, sources, and methodologies, this innovative book: Provides an integrated modeling approach to extract value from multiple types of datasets Treats the processes needed to make alternative data signals operational Helps investors and risk managers rethink how they engage with alternative datasets Features practical use case studies in many different financial markets and real-world techniques Describes how to avoid potential pitfalls and missteps in starting the alternative data journey Explains how to integrate information from different datasets to maximize informational value The Book of Alternative Data is an indispensable resource for anyone wishing to analyze or monetize different non-traditional datasets, including Chief Investment Officers, Chief Risk Officers, risk professionals, investment professionals, traders, economists, and machine learning developers and users.

The Oxford Handbook of Economic Forecasting

The Oxford Handbook of Economic Forecasting Book
Author : Michael P. Clements,David F. Hendry
Publisher : OUP USA
Release : 2011-07-08
ISBN : 0195398645
Language : En, Es, Fr & De

GET BOOK

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.

Economic Forecasts

Economic Forecasts Book
Author : Ralf Brüggemann,Winfried Pohlmeier,Werner Smolny
Publisher : Walter de Gruyter GmbH & Co KG
Release : 2016-11-21
ISBN : 3110510847
Language : En, Es, Fr & De

GET BOOK

Book Description :

Forecasts guide decisions in all areas of economics and finance. Economic policy makers base their decisions on business cycle forecasts, investment decisions of firms are based on demand forecasts, and portfolio managers try to outperform the market based on financial market forecasts. Forecasts extract relevant information from the past and help to reduce the inherent uncertainty of the future. The topic of this special issue of the Journal of Economics and Statistics is the theory and practise of forecasting and forecast evaluation and an overview of the state of the art of forecasting.

Big Data for Twenty First Century Economic Statistics

Big Data for Twenty First Century Economic Statistics Book
Author : Katharine G. Abraham,Ron S. Jarmin,Brian C. Moyer,Matthew D. Shapiro
Publisher : University of Chicago Press
Release : 2022-03-11
ISBN : 022680139X
Language : En, Es, Fr & De

GET BOOK

Book Description :

The papers in this volume analyze the deployment of Big Data to solve both existing and novel challenges in economic measurement. The existing infrastructure for the production of key economic statistics relies heavily on data collected through sample surveys and periodic censuses, together with administrative records generated in connection with tax administration. The increasing difficulty of obtaining survey and census responses threatens the viability of existing data collection approaches. The growing availability of new sources of Big Data—such as scanner data on purchases, credit card transaction records, payroll information, and prices of various goods scraped from the websites of online sellers—has changed the data landscape. These new sources of data hold the promise of allowing the statistical agencies to produce more accurate, more disaggregated, and more timely economic data to meet the needs of policymakers and other data users. This volume documents progress made toward that goal and the challenges to be overcome to realize the full potential of Big Data in the production of economic statistics. It describes the deployment of Big Data to solve both existing and novel challenges in economic measurement, and it will be of interest to statistical agency staff, academic researchers, and serious users of economic statistics.

Big Data and Machine Learning in Quantitative Investment

Big Data and Machine Learning in Quantitative Investment Book
Author : Tony Guida
Publisher : John Wiley & Sons
Release : 2018-12-12
ISBN : 1119522080
Language : En, Es, Fr & De

GET BOOK

Book Description :

Get to know the ‘why’ and ‘how’ of machine learning and big data in quantitative investment Big Data and Machine Learning in Quantitative Investment is not just about demonstrating the maths or the coding. Instead, it’s a book by practitioners for practitioners, covering the questions of why and how of applying machine learning and big data to quantitative finance. The book is split into 13 chapters, each of which is written by a different author on a specific case. The chapters are ordered according to the level of complexity; beginning with the big picture and taxonomy, moving onto practical applications of machine learning and finally finishing with innovative approaches using deep learning. • Gain a solid reason to use machine learning • Frame your question using financial markets laws • Know your data • Understand how machine learning is becoming ever more sophisticated Machine learning and big data are not a magical solution, but appropriately applied, they are extremely effective tools for quantitative investment — and this book shows you how.

Annual Report to Congress

Annual Report to Congress Book
Author : United States. Energy Information Administration
Publisher : Unknown
Release : 1978
ISBN : 0987650XXX
Language : En, Es, Fr & De

GET BOOK

Book Description :

Download Annual Report to Congress book written by United States. Energy Information Administration, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Impact of COVID 19 Nowcasting and Big Data to Track Economic Activity in Sub Saharan Africa

Impact of COVID 19  Nowcasting and Big Data to Track Economic Activity in Sub Saharan Africa Book
Author : Brandon Buell,Reda Cherif,Carissa Chen,Karl Walentin,Jiawen Tang
Publisher : International Monetary Fund
Release : 2021-05
ISBN : 1513582496
Language : En, Es, Fr & De

GET BOOK

Book Description :

The COVID-19 pandemic underscores the critical need for detailed, timely information on its evolving economic impacts, particularly for Sub-Saharan Africa (SSA) where data availability and lack of generalizable nowcasting methodologies limit efforts for coordinated policy responses. This paper presents a suite of high frequency and granular country-level indicator tools that can be used to nowcast GDP and track changes in economic activity for countries in SSA. We make two main contributions: (1) demonstration of the predictive power of alternative data variables such as Google search trends and mobile payments, and (2) implementation of two types of modelling methodologies, machine learning and parametric factor models, that have flexibility to incorporate mixed-frequency data variables. We present nowcast results for 2019Q4 and 2020Q1 GDP for Kenya, Nigeria, South Africa, Uganda, and Ghana, and argue that our factor model methodology can be generalized to nowcast and forecast GDP for other SSA countries with limited data availability and shorter timeframes.

The Business Cycle Theories and Evidence

The Business Cycle  Theories and Evidence Book
Author : M.T. Belongia,Michelle R. Garfinkel
Publisher : Springer Science & Business Media
Release : 2012-12-06
ISBN : 9401129568
Language : En, Es, Fr & De

GET BOOK

Book Description :

These proceedings, from a conference held at the Federal Reserve Bank of St. Louis on October 17-18, 1991, attempted to layout what we currently know about aggregate economic fluctuations. Identifying what we know inevitably reveals what we do not know about such fluctuations as well. From the vantage point of where the conference's participants view our current understanding to be, these proceedings can be seen as suggesting an agenda for further research. The conference was divided into five sections. It began with the formu lation of an empirical definition of the "business cycle" and a recitation of the stylized facts that must be explained by any theory that purports to capture the business cycle's essence. After outlining the historical develop ment and key features of the current "theories" of business cycles, the conference evaluated these theories on the basis of their ability to explain the facts. Included in this evaluation was a discussion of whether (and how) the competing theories could be distinguished empirically. The conference then examined the implications for policy of what is known and not known about business cycles. A panel discussion closed the conference, high lighting important unresolved theoretical and empirical issues that should be taken up in future business cycle research. What Is a Business Cycle? Before gaining a genuine understanding of business cycles, economists must agree and be clear about what they mean when they refer to the cycle.

Forecasting in the Presence of Structural Breaks and Model Uncertainty

Forecasting in the Presence of Structural Breaks and Model Uncertainty Book
Author : David E. Rapach,Mark E. Wohar,Hamid Beladi,Kwan Choi
Publisher : Emerald Group Publishing
Release : 2008-02-29
ISBN : 044452942X
Language : En, Es, Fr & De

GET BOOK

Book Description :

Forecasting in the presence of structural breaks and model uncertainty are active areas of research with implications for practical problems in forecasting. This book addresses forecasting variables from both Macroeconomics and Finance, and considers various methods of dealing with model instability and model uncertainty when forming forecasts.

Empirical Macroeconomics and Statistical Uncertainty

Empirical Macroeconomics and Statistical Uncertainty Book
Author : Mateusz Pipień,Sylwia Roszkowska
Publisher : Routledge
Release : 2020-08-06
ISBN : 1000170845
Language : En, Es, Fr & De

GET BOOK

Book Description :

This book addresses one of the most important research activities in empirical macroeconomics. It provides a course of advanced but intuitive methods and tools enabling the spatial and temporal disaggregation of basic macroeconomic variables and the assessment of the statistical uncertainty of the outcomes of disaggregation. The empirical analysis focuses mainly on GDP and its growth in the context of Poland. However, all of the methods discussed can be easily applied to other countries. The approach used in the book views spatial and temporal disaggregation as a special case of the estimation of missing observations (a topic on missing data analysis). The book presents an econometric course of models of Seemingly Unrelated Regression Equations (SURE). The main advantage of using the SURE specification is to tackle the presented research problem so that it allows for the heterogeneity of the parameters describing relations between macroeconomic indicators. The book contains model specification, as well as descriptions of stochastic assumptions and resulting procedures of estimation and testing. The method also addresses uncertainty in the estimates produced. All of the necessary tests and assumptions are presented in detail. The results are designed to serve as a source of invaluable information making regional analyses more convenient and – more importantly – comparable. It will create a solid basis for making conclusions and recommendations concerning regional economic policy in Poland, particularly regarding the assessment of the economic situation. This is essential reading for academics, researchers, and economists with regional analysis as their field of expertise, as well as central bankers and policymakers.

Handbook of Economic Forecasting

Handbook of Economic Forecasting Book
Author : Graham Elliott,Allan Timmermann
Publisher : Elsevier
Release : 2013-10-24
ISBN : 0444627413
Language : En, Es, Fr & De

GET BOOK

Book Description :

The highly prized ability to make financial plans with some certainty about the future comes from the core fields of economics. In recent years the availability of more data, analytical tools of greater precision, and ex post studies of business decisions have increased demand for information about economic forecasting. Volumes 2A and 2B, which follows Nobel laureate Clive Granger's Volume 1 (2006), concentrate on two major subjects. Volume 2A covers innovations in methodologies, specifically macroforecasting and forecasting financial variables. Volume 2B investigates commercial applications, with sections on forecasters' objectives and methodologies. Experts provide surveys of a large range of literature scattered across applied and theoretical statistics journals as well as econometrics and empirical economics journals. The Handbook of Economic Forecasting Volumes 2A and 2B provide a unique compilation of chapters giving a coherent overview of forecasting theory and applications in one place and with up-to-date accounts of all major conceptual issues. Focuses on innovation in economic forecasting via industry applications Presents coherent summaries of subjects in economic forecasting that stretch from methodologies to applications Makes details about economic forecasting accessible to scholars in fields outside economics

Revisiting Useful Approaches to Data rich Macroeconomic Forecasting

Revisiting Useful Approaches to Data rich Macroeconomic Forecasting Book
Author : Anonim
Publisher : Unknown
Release : 2008
ISBN : 0987650XXX
Language : En, Es, Fr & De

GET BOOK

Book Description :

Download Revisiting Useful Approaches to Data rich Macroeconomic Forecasting book written by , available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.