Programs TRAMO and SEATS PDF Download

Author: Víctor Gómez
Publisher:
ISBN:
Category : Economics, Mathematical
Languages : en
Pages : 40

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Author: Víctor Gómez
Publisher:
ISBN:
Category : Box-Jenkins forecasting
Languages : en
Pages : 52

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Book Description

Author: Agustín Maravall
Publisher:
ISBN:
Category : Japan
Languages : en
Pages : 52

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Book Description
Se aplican los programas TRAMO-SEATS a series temporales de comercio exterior japonés.

Author: Regina Kaiser
Publisher:
ISBN:
Category : Business cycles
Languages : en
Pages : 50

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Author: Agustín Maravall
Publisher:
ISBN:
Category : Monographic series
Languages : en
Pages : 146

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Book Description

Author: Haim Y. Bleikh
Publisher: CRC Press
ISBN: 1317010175
Category : Business & Economics
Languages : en
Pages : 148

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Book Description
In Time Series Analysis and Adjustment the authors explain how the last four decades have brought dramatic changes in the way researchers analyze economic and financial data on behalf of economic and financial institutions and provide statistics to whomsoever requires them. Such analysis has long involved what is known as econometrics, but time series analysis is a different approach driven more by data than economic theory and focused on modelling. An understanding of time series and the application and understanding of related time series adjustment procedures is essential in areas such as risk management, business cycle analysis, and forecasting. Dealing with economic data involves grappling with things like varying numbers of working and trading days in different months and movable national holidays. Special attention has to be given to such things. However, the main problem in time series analysis is randomness. In real-life, data patterns are usually unclear, and the challenge is to uncover hidden patterns in the data and then to generate accurate forecasts. The case studies in this book demonstrate that time series adjustment methods can be efficaciously applied and utilized, for both analysis and forecasting, but they must be used in the context of reasoned statistical and economic judgment. The authors believe this is the first published study to really deal with this issue of context.

Author: Jelke G. Bethlehem
Publisher: Springer Science & Business Media
ISBN: 9783790813265
Category : Business & Economics
Languages : en
Pages : 556

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This book contains the keynote, invited and full contributed papers presented at COMPSTAT 2000, held in Utrecht. The papers range over all aspects of the link between statistical theory and applied statistics, with special attention for developments in the area of official statistics. The papers have been thoroughly refereed.

Author: Víctor Gómez
Publisher:
ISBN: 9788477935131
Category : Box-Jenkins forecasting
Languages : en
Pages : 124

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Author: Víctor Gómez
Publisher:
ISBN:
Category :
Languages : en
Pages : 19

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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.