Forecasting Business And Consumer Surveys Indicators A Time Series Models Competition

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Forecasting Business and Consumer Surveys Indicators. A Time Series Models Competition

Author : Rosina Moreno
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (112 download)

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Book Synopsis Forecasting Business and Consumer Surveys Indicators. A Time Series Models Competition by : Rosina Moreno

Download or read book Forecasting Business and Consumer Surveys Indicators. A Time Series Models Competition written by Rosina Moreno and published by . This book was released on 2008 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: The objective of this paper is to compare different time series methods for the short-run forecasting of Business and Consumer Survey Indicators. We consider all available data taken from the Business and Consumer Survey Indicators for the Euro area between 1985 and 2002. The main results of the forecast competition are offered not only for raw data but we also consider the effects of seasonality and removing outliers on forecast accuracy. In most cases the univariate autoregressions were not outperformed by the other methods. As for the effect of seasonal adjustment methods and the use of data from which outliers have been removed, we obtain that the use of raw data has little effect on forecast accuracy. The forecasting performance of qualitative indicators is important since enlarging the observed time series of these indicators with forecast intervals may help in interpreting and assessing the implications of the current situation and can be used as an input in quantitative for

Forecasting Business Surveys Indicators

Author : Oscar Claveria
Publisher :
ISBN 13 :
Total Pages : 28 pages
Book Rating : 4.:/5 (13 download)

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Book Synopsis Forecasting Business Surveys Indicators by : Oscar Claveria

Download or read book Forecasting Business Surveys Indicators written by Oscar Claveria and published by . This book was released on 2014 with total page 28 pages. Available in PDF, EPUB and Kindle. Book excerpt: The objective of this paper is to compare different forecasting methods for the short run forecasting of Business Survey Indicators. We compare the forecasting accuracy of Artificial Neural Networks (ANN) vs. three different time series models: autoregressions (AR), autoregressive integrated moving average (ARIMA) and self-exciting threshold autoregressions (SETAR). We consider all the indicators of the question related to a country's general situation regarding overall economy, capital expenditures and private consumption (present judgement, compared to same time last year, expected situation by the end of the next six months) of the World Economic Survey (WES) carried out by the Ifo Institute for Economic Research in co-operation with the International Chamber of Commerce. The forecast competition is undertaken for fourteen countries of the European Union. The main results of the forecast competition are offered for raw data for the period ranging from 1989 to 2008, using the last eight quarters for comparing the forecasting accuracy of the different techniques. ANN and ARIMA models outperform SETAR and AR models. Enlarging the observed time series of Business Survey Indicators is of utmost importance in order of assessing the implications of the current situation and its use as input in quantitative forecast models.

Time Series Models for Business and Economic Forecasting

Author : Philip Hans Franses
Publisher : Cambridge University Press
ISBN 13 : 9780521586412
Total Pages : 300 pages
Book Rating : 4.5/5 (864 download)

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Book Synopsis Time Series Models for Business and Economic Forecasting by : Philip Hans Franses

Download or read book Time Series Models for Business and Economic Forecasting written by Philip Hans Franses and published by Cambridge University Press. This book was released on 1998-10-15 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to time series models for business and economic forecasting.

Time Series Models for Short-Term Forecasting Performance Indicators

Author : Arno Palmrich
Publisher : GRIN Verlag
ISBN 13 : 3640435869
Total Pages : 86 pages
Book Rating : 4.6/5 (44 download)

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Book Synopsis Time Series Models for Short-Term Forecasting Performance Indicators by : Arno Palmrich

Download or read book Time Series Models for Short-Term Forecasting Performance Indicators written by Arno Palmrich and published by GRIN Verlag. This book was released on 2009-09-30 with total page 86 pages. Available in PDF, EPUB and Kindle. Book excerpt: Diploma Thesis from the year 2007 in the subject Business economics - Business Management, Corporate Governance, grade: highest grade (ausgezeichnet), University of Applied Sciences Kufstein Tirol, course: Economics Statistics, language: English, abstract: Managers use forecasting in budgeting time and resources. In this thesis, various advanced time series models are constructed, computed and tested for adequacy. This thesis serves as a practical guide to regression and time series analysis. It seeks to demonstrate how to approach problems according to scientific standards to students who are familiar with SPSS® but beginners in regression and time series analysis. Bibliographic notes of classical works and more recent academic advances in time series analysis are provided throughout the text. The research question that this thesis seeks to answer can be formulated in its shortest version as: “How can the management of Dalian Chemson Chemical Products Co; Ltd. use existing company data to make short-term predictions about net sales, Cost of Goods Sold (COGS), and net contribution?” More specifically, this thesis seeks to provide different tools (models) for forecasting the P&L entries net sales, COGS, and net contribution a few months ahead. This author’s approach is based on various versions of two models: One model will forecast net sales and the other model will predict COGS. The expected net contribution is simply defined as the difference between the predictions of these two models. In chapter 4.3 an ordinary least squares regression version of the two models has been computed. In chapter 4.6 a weighted least squares regression has been applied to the models. Autoregressions have been computed in chapter 4.7.1 and two Autoregressive Integrated Moving Average (ARIMA) versions have been constructed in chapter 4.7.6. The various versions of the models have then been compared against each other. The version that fits the data best will be used in forecasting. The statistical models in this thesis are computed using SPSS BaseTM, SPSS Regression ModelsTM and SPSS TrendsTM, versions 11.5.0. Each of the model versions constructed herein can be applied in a simple Excel spreadsheet. In the last chapter, a one-step-ahead forecast is produced via the in this thesis developed concept which consists of the most precise versions of the models to forecast net sales and COGS. The forecasting concept developed in this thesis is good in that it produces precise forecasts. Its simplified framework minimizes the effort and expertise required to obtain predictions.

Market Response Models: Econometric and Time Series Analysis

Author : Dominique M. Hanssens
Publisher : Springer Science & Business Media
ISBN 13 : 9400910738
Total Pages : 389 pages
Book Rating : 4.4/5 (9 download)

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Book Synopsis Market Response Models: Econometric and Time Series Analysis by : Dominique M. Hanssens

Download or read book Market Response Models: Econometric and Time Series Analysis written by Dominique M. Hanssens and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reports over a decade's worth of research on the development of empirical response models that have important uses for generating marketing knowledge and improving marketing decisions. Some of its contributions to marketing are the following: 1. It integrates state-of-the art technical material with discussions of its relevance to management. 2. It provides continuity to a research stream over 20 years old. 3. It illustrates how marketing generalizations are the basis of marketing theory and marketing knowledge. 4. It shows how the research can be applied to marketing planning and forecasting. 5. It presents original research in marketing. The book addresses both marketing researchers and marketing managers. This can be done because empirical decision models are helpful in practice and are also based on theories of response. Econometric and time series analysis (ETS) is one of the few areas in marketing where there is little, if any, conflict between the academic sphere and the world of professional practice. Market Response Models is a sequel to Marketing Models and Econometric Research, published in 1976. It is rare for a research-oriented book in market ing to be updated or to have a sequel. Unlike many other methodologies, ETS research in marketing has stood the test of time. It remains the main method for discovering relations among marketing variables.

Introduction to Time Series Analysis and Forecasting

Author : Lavra Filipek
Publisher :
ISBN 13 : 9781681171913
Total Pages : 0 pages
Book Rating : 4.1/5 (719 download)

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Book Synopsis Introduction to Time Series Analysis and Forecasting by : Lavra Filipek

Download or read book Introduction to Time Series Analysis and Forecasting written by Lavra Filipek and published by . This book was released on 2015-08 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: A time series is a collection of data recorded over a period of timeweekly, monthly, quarterly, or yearly. Forecasting the level of sales, both short-term and long-term, is practically dictated by the very nature of business organizations. Competition for the consumer's dollar, stress on earning a profit for the stockholders, a desire to procure a larger share of the market, and the ambitions of executives are some of the prime motivating forces in business. Thus, a forecast is necessary to have the raw materials, production facilities, and staff available to meet the projected demand. Time series analysis can be applied to real-valued, continuous data, discrete numeric data, or discrete symbolic. Analyzing time oriented data and forecasting future values of a time series are among the most important problems that analysis face in many fields ranging from finance and economics to managing production operations. The emphasis of this book is on time series analysis and forecasting. This book is intended for practitioners who make real world forecasts. Time series analysis has got attention of many researches from different fields, such as business administration, economics, public finances. Forecasting is an important activity in economics, commerce, marketing and various branches of science. This book, Introduction to Time Series Analysis and Forecasting, is concerned with forecasting methods based on the use of time-series analysis. It is primarily intended as a reference source for practitioners and researchers in forecasting, who could, for example, be statisticians, econometricians, operational researchers, management scientists or decision scientists.

Feature Papers of Forecasting

Author : Sonia Leva
Publisher : MDPI
ISBN 13 : 3036510303
Total Pages : 188 pages
Book Rating : 4.0/5 (365 download)

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Book Synopsis Feature Papers of Forecasting by : Sonia Leva

Download or read book Feature Papers of Forecasting written by Sonia Leva and published by MDPI. This book was released on 2021-08-06 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nowadays, forecast applications are receiving unprecedent attention thanks to their capability to improve the decision-making processes by providing useful indications. A large number of forecast approaches related to different forecast horizons and to the specific problem that have to be predicted have been proposed in recent scientific literature, from physical models to data-driven statistic and machine learning approaches. In this Special Issue, the most recent and high-quality researches about forecast are collected. A total of nine papers have been selected to represent a wide range of applications, from weather and environmental predictions to economic and management forecasts. Finally, some applications related to the forecasting of the different phases of COVID in Spain and the photovoltaic power production have been presented.

Understanding Economic Forecasts

Author : David F. Hendry
Publisher : MIT Press
ISBN 13 : 9780262582421
Total Pages : 236 pages
Book Rating : 4.5/5 (824 download)

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Book Synopsis Understanding Economic Forecasts by : David F. Hendry

Download or read book Understanding Economic Forecasts written by David F. Hendry and published by MIT Press. This book was released on 2003 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: How to interpret and evaluate economic forecasts and the uncertainties inherent in them.

Economic and Business Forecasting

Author : John E. Silvia
Publisher : John Wiley & Sons
ISBN 13 : 1118569547
Total Pages : 400 pages
Book Rating : 4.1/5 (185 download)

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Book Synopsis Economic and Business Forecasting by : John E. Silvia

Download or read book Economic and Business Forecasting written by John E. Silvia and published by John Wiley & Sons. This book was released on 2014-03-10 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover the secrets to applying simple econometric techniques to improve forecasting Equipping analysts, practitioners, and graduate students with a statistical framework to make effective decisions based on the application of simple economic and statistical methods, Economic and Business Forecasting offers a comprehensive and practical approach to quantifying and accurate forecasting of key variables. Using simple econometric techniques, author John E. Silvia focuses on a select set of major economic and financial variables, revealing how to optimally use statistical software as a template to apply to your own variables of interest. Presents the economic and financial variables that offer unique insights into economic performance Highlights the econometric techniques that can be used to characterize variables Explores the application of SAS software, complete with simple explanations of SAS-code and output Identifies key econometric issues with practical solutions to those problems Presenting the "ten commandments" for economic and business forecasting, this book provides you with a practical forecasting framework you can use for important everyday business applications.

Business Tendency Surveys A Handbook

Author : OECD
Publisher : OECD Publishing
ISBN 13 : 9264177442
Total Pages : 130 pages
Book Rating : 4.2/5 (641 download)

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Book Synopsis Business Tendency Surveys A Handbook by : OECD

Download or read book Business Tendency Surveys A Handbook written by OECD and published by OECD Publishing. This book was released on 2003-03-20 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook is a practical manual on the design and implementation of business tendency surveys, which ask company managers about the current situation of their business and about their plans and expectations for the future.

Predictions in Time Series Using Regression Models

Author : Cory Terrell
Publisher : Scientific e-Resources
ISBN 13 : 1839473290
Total Pages : 300 pages
Book Rating : 4.8/5 (394 download)

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Book Synopsis Predictions in Time Series Using Regression Models by : Cory Terrell

Download or read book Predictions in Time Series Using Regression Models written by Cory Terrell and published by Scientific e-Resources. This book was released on 2019-09-02 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: Regression methods have been a necessary piece of time arrangement investigation for over a century. As of late, new advancements have made real walks in such territories as non-constant information where a direct model isn't fitting. This book acquaints the peruser with fresher improvements and more assorted regression models and methods for time arrangement examination. Open to any individual who knows about the fundamental present day ideas of factual deduction, Regression Models for Time Series Analysis gives a truly necessary examination of late measurable advancements. Essential among them is the imperative class of models known as summed up straight models (GLM) which gives, under a few conditions, a bound together regression hypothesis reasonable for constant, all out, and check information. The creators stretch out GLM methodology deliberately to time arrangement where the essential and covariate information are both arbitrary and stochastically reliant. They acquaint readers with different regression models created amid the most recent thirty years or somewhere in the vicinity and condense traditional and later outcomes concerning state space models.

Time Series Models for Business and Economic Forecasting

Author : Philip Hans Franses
Publisher :
ISBN 13 :
Total Pages : 300 pages
Book Rating : 4.:/5 (21 download)

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Book Synopsis Time Series Models for Business and Economic Forecasting by : Philip Hans Franses

Download or read book Time Series Models for Business and Economic Forecasting written by Philip Hans Franses and published by . This book was released on 2014 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: "With a new author team contributing decades of practical experience, this fully updated and thoroughly classroom-tested second edition textbook prepares students and practitioners to create effective forecasting models and master the techniques of time series analysis. Taking a practical and example-driven approach, this textbook summarises the most critical decisions, techniques and steps involved in creating forecasting models for business and economics. Students are led through the process with an entirely new set of carefully developed theoretical and practical exercises. Chapters examine the key features of economic time series, univariate time series analysis, trends, seasonality, aberrant observations, conditional heteroskedasticity and ARCH models, non-linearity and multivariate time series, making this a complete practical guide. A companion website with downloadable datasets, exercises and lecture slides rounds out the full learning package"--

Strategic Business Forecasting

Author : Jae K. Shim
Publisher : CRC Press
ISBN 13 : 9781574442519
Total Pages : 312 pages
Book Rating : 4.4/5 (425 download)

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Book Synopsis Strategic Business Forecasting by : Jae K. Shim

Download or read book Strategic Business Forecasting written by Jae K. Shim and published by CRC Press. This book was released on 2000-01-28 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: A book on practical business forecasting belongs in the library of everyone interested in business. Forecasting is extremely important to finance and accounting executives, business economists and managers at all levels. Strategic Business Forecasting: The Complete Guide to Forecasting Real World Company Performance provides you with a working knowledge of the fundamentals of business forecasting that can be applied in the real world regardless of the size of the firm. The author explains the basic forecasting methodology and the practical applications. All aspects of business are discussed, making this a comprehensive and valuable reference. The author avoids theoretical and mathematical discussions to gets right into how, when , and why to use this book. Many practical examples, applications, illustrations, guidelines, measures, checklists, rules of thumb, tips, graphs, diagrams and tables aid your comprehension of the subject. The author displays and explains printouts obtained using many popular spreadsheet programs and software packages. The book goes far beyond just sales forecasting, encompassing a wide range of topics of major importance to practical business managers and finance professionals, including cash flow forecasting, cost prediction, earnings forecasts, bankruptcy prediction, foreign exchange forecasting, and interest rate forecasting. Written in an easy-to-read style, it is practical, current, and intriguing - a reference book to use throughout your business career.

Handbook on Economic Tendency Surveys

Author : United Nations Publications
Publisher :
ISBN 13 : 9789211616040
Total Pages : 0 pages
Book Rating : 4.6/5 (16 download)

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Book Synopsis Handbook on Economic Tendency Surveys by : United Nations Publications

Download or read book Handbook on Economic Tendency Surveys written by United Nations Publications and published by . This book was released on 2017-03-15 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook on Economic Tendency Surveys provides best practices and harmonized principles on how to conduct economic tendency survey from sample selection, questionnaire design, survey questions, survey execution, to data processing and dissemination. It also provides examples of uses of these surveys, for example, for composite tendency indicators. These surveys provide qualitative information that cannot be collected using other quantitative statistical methods. They also serve as an integral part of an early warning system because they provide information about the occurrence and timing of upturns and downturns of the economy.

Economic Forecasts

Author : Ralf Brüggemann
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110510847
Total Pages : 176 pages
Book Rating : 4.1/5 (15 download)

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Book Synopsis Economic Forecasts by : Ralf Brüggemann

Download or read book Economic Forecasts written by Ralf Brüggemann and published by Walter de Gruyter GmbH & Co KG. This book was released on 2016-11-21 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Business Forecasting

Author : Michael Gilliland
Publisher : John Wiley & Sons
ISBN 13 : 1119782473
Total Pages : 435 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Business Forecasting by : Michael Gilliland

Download or read book Business Forecasting written by Michael Gilliland and published by John Wiley & Sons. This book was released on 2021-05-11 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover the role of machine learning and artificial intelligence in business forecasting from some of the brightest minds in the field In Business Forecasting: The Emerging Role of Artificial Intelligence and Machine Learning accomplished authors Michael Gilliland, Len Tashman, and Udo Sglavo deliver relevant and timely insights from some of the most important and influential authors in the field of forecasting. You'll learn about the role played by machine learning and AI in the forecasting process and discover brand-new research, case studies, and thoughtful discussions covering an array of practical topics. The book offers multiple perspectives on issues like monitoring forecast performance, forecasting process, communication and accountability for forecasts, and the use of big data in forecasting. You will find: Discussions on deep learning in forecasting, including current trends and challenges Explorations of neural network-based forecasting strategies A treatment of the future of artificial intelligence in business forecasting Analyses of forecasting methods, including modeling, selection, and monitoring In addition to the Foreword by renowned researchers Spyros Makridakis and Fotios Petropoulos, the book also includes 16 "opinion/editorial" Afterwords by a diverse range of top academics, consultants, vendors, and industry practitioners, each providing their own unique vision of the issues, current state, and future direction of business forecasting. Perfect for financial controllers, chief financial officers, business analysts, forecast analysts, and demand planners, Business Forecasting will also earn a place in the libraries of other executives and managers who seek a one-stop resource to help them critically assess and improve their own organization's forecasting efforts.

Time Series Analysis

Author : George E. P. Box
Publisher :
ISBN 13 :
Total Pages : 616 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Time Series Analysis by : George E. P. Box

Download or read book Time Series Analysis written by George E. P. Box and published by . This book was released on 1976 with total page 616 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction and summary; Stochastic models and their forecasting; The autocorrelation function and spectrum; Linear stationary models; Linear nonstationary models; Forecasting; Stochastic model building; Model identification; Model estimation; Model diagnostic checking; Seasonal models; Transfer function models; Identification fitting, and checking of transfer function models.