Financial Forecasting for Business and Economics

Financial Forecasting for Business and Economics PDF

Author: Eduard Jan Bomhoff

Publisher:

Published: 1994

Total Pages: 242

ISBN-13:

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This text summarizes the important new thinking on financial market forecasting and on the statistical modeling of non-stationary series in a clear and readable manner. The emphasis throughout is on real-life examples using data from a wide variety of countries and sources.

Economic and Business Forecasting

Economic and Business Forecasting PDF

Author: John E. Silvia

Publisher: John Wiley & Sons

Published: 2014-03-10

Total Pages: 400

ISBN-13: 1118569547

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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.

Forecasting in Business and Economics

Forecasting in Business and Economics PDF

Author: C. W. J. Granger

Publisher: Academic Press

Published: 2014-05-10

Total Pages: 237

ISBN-13: 1483273598

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Forecasting in Business and Economics presents a variety of forecasting techniques and problems. This book discusses the importance of the selection of a relevant information set. Organized into 12 chapters, this book begins with an overview of the forecasting techniques that are useful in decision making. This text then discusses the difficulties in interpreting an apparent trend and discusses its implications. Other chapters consider how a time series is analyzed and forecast by discussing the methods by which a series can be generated. This book discusses as well the views of most academic time series analysts regarding the usefulness of searches for cycles in most economic and business series. The final chapter deals with the techniques developed for forecasting. This book is a valuable resource for senior undergraduates in business, economics, commerce, and management. Graduate students in operations research and production engineering will also find this book extremely useful.

Forecasting for Economics and Business

Forecasting for Economics and Business PDF

Author: Gloria González-Rivera

Publisher: Routledge

Published: 2016-12-05

Total Pages: 511

ISBN-13: 1315510405

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For junior/senior undergraduates in a variety of fields such as economics, business administration, applied mathematics and statistics, and for graduate students in quantitative masters programs such as MBA and MA/MS in economics. A student-friendly approach to understanding forecasting. Knowledge of forecasting methods is among the most demanded qualifications for professional economists, and business people working in either the private or public sectors of the economy. The general aim of this textbook is to carefully develop sophisticated professionals, who are able to critically analyze time series data and forecasting reports because they have experienced the merits and shortcomings of forecasting practice.

Forecasting Financial and Economic Cycles

Forecasting Financial and Economic Cycles PDF

Author: Michael P. Niemira

Publisher: John Wiley & Sons

Published: 1994-03-31

Total Pages: 545

ISBN-13: 0471845442

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Gain the knowledge and skills that can help you exploit instability. No book can help you construct foolproof forecasting systems that will ensure you'll accurately predict economic turning points every time. But with Niemira and Klein's Forecasting Financial and Economic Cycles on hand, you'll be able to significantly strengthen your ability to measure, monitor, and forecast important fluctuations. Part history, it provides you with essential background material on the characteristics and causes of economic volatility. It offers accessible coverage of the classical business cycle, the five basic types of economic cycles as determined by leading economists, and evolving ideas on the forces driving instability—ranging from simple unicausal theories, more complex Keynesian theory, to new classical macroeconomics. In addition, its concise review of America's economic past highlights the lessons that can be learned from the various cycles experienced since shortly before World War II. Part handbook, Forecasting Financial and Economic Cycles presents the full spectrum of statistical techniques used to measure cycles, trends, seasonal patterns, and other vital changes, offering you step-by-step guidance on applying a specific method and detailing its uses and limitations. It goes on to show how youcan adapt particular techniques to assess, track, and predict: Industry cycles—including an objective, tailor-made forecasting tool Regional business cycles—including a survey of regional indicators International business cycles—with an international business cycle chronology Inflation cycles—plus "12 little-known facts" about this complex cycle Financial cycles—covering credit, monetary, and interest rate cycles Stock market cycles—with advice on achieving more disciplined trading Based on outstanding scholarship and years of practical experience, Forecasting Financial and Economic Cycles will serve as an invaluable tool for practitioners like you whose decision-making—and profit margin—depend on accurately assessing today's often uncertain economic climate. "Forecasting Financialand Economic Cycles provides a lively survey of the many ways that cyclical economic activity has been dissected and analyzed. With this book, an astute reader may even be able to anticipate the next cyclical turn." —Samuel D. Kahan, Chief Economist Fuji Securities, Inc. "The definitive book on the most important and enduringfeature of an often mist-bound economic landscape: the business cycle." —Alfred L. Malabre, Jr., Economics Editor, The Wall Street,Journal "Niemira and Klein cover both the theory of economic cyclesand methods for forecasting them. They provide one of the most comprehensive and current reviews of academic studies of economic cycles to be found anywhere." —Anthony F. Herbst, Professor of Finance, The University of Texas at El Paso "This book succeeds as a comprehensive, balanced, and accessible treatment of fluctuations in economic and financial activity. It should prove useful to all those in industry and finance who wish to understand and analyze the trends and changes in the modern dynamic economy." —Victor Zarnowitz, Professor Emeritus of Economics and Finance, University of Chicago

Forecasting Economic Time Series

Forecasting Economic Time Series PDF

Author: C. W. J. Granger

Publisher: Academic Press

Published: 2014-05-10

Total Pages: 353

ISBN-13: 1483273245

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Economic Theory, Econometrics, and Mathematical Economics, Second Edition: Forecasting Economic Time Series presents the developments in time series analysis and forecasting theory and practice. This book discusses the application of time series procedures in mainstream economic theory and econometric model building. Organized into 10 chapters, this edition begins with an overview of the problem of dealing with time series possessing a deterministic seasonal component. This text then provides a description of time series in terms of models known as the time-domain approach. Other chapters consider an alternative approach, known as spectral or frequency-domain analysis, that often provides useful insights into the properties of a series. This book discusses as well a unified approach to the fitting of linear models to a given time series. The final chapter deals with the main advantage of having a Gaussian series wherein the optimal single series, least-squares forecast will be a linear forecast. This book is a valuable resource for economists.

Financial Forecasting, Analysis, and Modelling

Financial Forecasting, Analysis, and Modelling PDF

Author: Michael Samonas

Publisher: John Wiley & Sons

Published: 2015-01-20

Total Pages: 232

ISBN-13: 1118921097

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Risk analysis has become critical to modern financial planning Financial Forecasting, Analysis and Modelling provides a complete framework of long-term financial forecasts in a practical and accessible way, helping finance professionals include uncertainty in their planning and budgeting process. With thorough coverage of financial statement simulation models and clear, concise implementation instruction, this book guides readers step-by-step through the entire projection plan development process. Readers learn the tools, techniques, and special considerations that increase accuracy and smooth the workflow, and develop a more robust analysis process that improves financial strategy. The companion website provides a complete operational model that can be customised to develop financial projections or a range of other key financial measures, giving readers an immediately-applicable tool to facilitate effective decision-making. In the aftermath of the recent financial crisis, the need for experienced financial modelling professionals has steadily increased as organisations rush to adjust to economic volatility and uncertainty. This book provides the deeper level of understanding needed to develop stronger financial planning, with techniques tailored to real-life situations. Develop long-term projection plans using Excel Use appropriate models to develop a more proactive strategy Apply risk and uncertainty projections more accurately Master the Excel Scenario Manager, Sensitivity Analysis, Monte Carlo Simulation, and more Risk plays a larger role in financial planning than ever before, and possible outcomes must be measured before decisions are made. Uncertainty has become a critical component in financial planning, and accuracy demands it be used appropriately. With special focus on uncertainty in modelling and planning, Financial Forecasting, Analysis and Modelling is a comprehensive guide to the mechanics of modern finance.

Time Series Analysis and Adjustment

Time Series Analysis and Adjustment PDF

Author: Haim Y Bleikh

Publisher: Gower Publishing, Ltd.

Published: 2014-07-28

Total Pages: 149

ISBN-13: 1472400720

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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.

Introduction to Financial Forecasting in Investment Analysis

Introduction to Financial Forecasting in Investment Analysis PDF

Author: John B. Guerard, Jr.

Publisher: Springer Science & Business Media

Published: 2013-01-04

Total Pages: 245

ISBN-13: 1461452392

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Forecasting—the art and science of predicting future outcomes—has become a crucial skill in business and economic analysis. This volume introduces the reader to the tools, methods, and techniques of forecasting, specifically as they apply to financial and investing decisions. With an emphasis on "earnings per share" (eps), the author presents a data-oriented text on financial forecasting, understanding financial data, assessing firm financial strategies (such as share buybacks and R&D spending), creating efficient portfolios, and hedging stock portfolios with financial futures. The opening chapters explain how to understand economic fluctuations and how the stock market leads the general economic trend; introduce the concept of portfolio construction and how movements in the economy influence stock price movements; and introduce the reader to the forecasting process, including exponential smoothing and time series model estimations. Subsequent chapters examine the composite index of leading economic indicators (LEI); review financial statement analysis and mean-variance efficient portfolios; and assess the effectiveness of analysts’ earnings forecasts. Using data from such firms as Intel, General Electric, and Hitachi, Guerard demonstrates how forecasting tools can be applied to understand the business cycle, evaluate market risk, and demonstrate the impact of global stock selection modeling and portfolio construction.