The Next Big Thing: Spotting and Forecasting Consumer Trends for Profit

The Next Big Thing: Spotting and Forecasting Consumer Trends for Profit Review

Understanding and predicting trends can put organizations in control, boosting profits and placing them ahead of their competitors. The Next Big Thing reveals how consumer trends work, how to spot them, and how to use that knowledge to gain financial and competitive advantage.  Full of examples of trends and comments from industry insiders, it also includes case studies of companies that benefited from spotting trends and those who lost out by not spotting them.  Find out about new market trends spotted by the author, including the “Come Together” trend, the “Gender Blending” trend, and more.

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Fundamentals of Forecasting

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Forecasting

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Art of Forecasting

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Forecasting.

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Business Forecasting with Student CD

Business Forecasting with Student CD Review

The Sixth Edition of Business Forecasting is the most practical forecasting book on the market with the most powerful software—Forecast X. This edition presents a broad-based survey of business forecasting methods including subjective and objective approaches. As always, the author team of Wilson and Keating deliver practical how-to forecasting techniques, along with dozens of real world data sets while theory and math are held to a minimum. This Sixth Edition includes Forecast X software updated for Excel 2007 and Vista. Forecast X is the most comprehensive software tool available in this market and the new version is also backwards compatible for XP Excel 2003 systems. This Excel-based tool effectively uses wizards and many tools to make forecasting easy and understandable. Read more...

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Introduction to Time Series Analysis and Forecasting, Solutions Manual (Wiley Series in Probability and Statistics)

Introduction to Time Series Analysis and Forecasting, Solutions Manual (Wiley Series in Probability and Statistics) Review

An accessible introduction to the most current thinking in and practicality of forecasting techniques in the context of time-oriented data.

Analyzing time-oriented data and forecasting are among the most important problems that analysts face across many fields, ranging from finance and economics to production operations and the natural sciences. As a result, there is a widespread need for large groups of people in a variety of fields to understand the basic concepts of time series analysis and forecasting. Introduction to Time Series Analysis and Forecasting presents the time series analysis branch of applied statistics as the underlying methodology for developing practical forecasts, and it also bridges the gap between theory and practice by equipping readers with the tools needed to analyze time-oriented data and construct useful, short- to medium-term, statistically based forecasts.

Seven easy-to-follow chapters provide intuitive explanations and in-depth coverage of key forecasting topics, including:

• Regression-based methods, heuristic smoothing methods, and general time series models

• Basic statistical tools used in analyzing time series data

• Metrics for evaluating forecast errors and methods for evaluating and tracking forecasting performance over time

• Cross-section and time series regression data, least squares and maximum likelihood model fitting, model adequacy checking, prediction intervals, and weighted and generalized least squares

• Exponential smoothing techniques for time series with polynomial components and seasonal data

• Forecasting and prediction interval construction with a discussion on transfer function models as well as intervention modeling and analysis

• Multivariate time series problems, ARCH and GARCH models, and combinations of forecasts

The ARIMA model approach with a discussion on how to identify and fit these models for non-seasonal and seasonal time series

The intricate role of computer software in successful time series analysis is acknowledged with the use of Minitab, JMP, and SAS software applications, which illustrate how the methods are imple-mented in practice. An extensive FTP site is available for readers to obtain data sets, Microsoft Office PowerPoint slides, and selected answers to problems in the book. Requiring only a basic working knowledge of statistics and complete with exercises at the end of each chapter as well as examples from a wide array of fields, Introduction to Time Series Analysis and Forecasting is an ideal text for forecasting and time series courses at the advanced undergraduate and beginning graduate levels. The book also serves as an indispensable reference for practitioners in business, economics, engineering, statistics, mathematics, and the social, environmental, and life sciences. Read more...

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Forecasting Terrorism: Indicators and Proven Analytic Techniques

Forecasting Terrorism: Indicators and Proven Analytic Techniques Review

Terrorist attacks happen after years of careful planning; however, these plans always leave a trail of activities—a road map to the terrorists' forthcoming actions. These indicators include terrorist travel, movement of weapons, training, target surveillance, and tests of security. This guidebook identifies 68 such indicators and shows how to analyze them using a step-by-step explanation. It also includes safeguards against 38 of the 42 common warning pitfalls that experts have identified. That analysis then yields warnings that can prevent attacks and save lives. The methodology can be applied to any intelligence topic (not just terrorism) by simply changing the list of indicators.

Warning failures are rarely due to inadequate collection; they are more frequently due to intelligence that has been ignored because it is delivered with weak analysis. With this model, author Sundri Khalsa brings sophisticated analysis methodology to security forces everywhere, promising a safer world. The accompanying CD-ROM provides a website display that is the interface to this forecasting system. It also includes a 45-minute video that describes the methodology step-by-step using the website display.

This methodology was characterized by the Unit Chief of the Federal Bureau of Investigation (FBI) Counterterrorism Threat Monitoring Unit as "light-years ahead," while officials in the Defense Intelligence Agency (DIA) have identified this system as "the bedrock for the evolving approach to terrorism analysis," and an "unprecedented forecasting model." This guide will be of interest to policy makers, journalists, police authorities, and concerned citizens. Read more...

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Instant Wind Forecasting

Instant Wind Forecasting Review

Instant Wind Forecasting is a quick reference guide for all who work or play outdoors whether dinghy, coastal or offshore sailors, fishermen, motorboaters, farmers, golfers, walkers or pilots. It will help them make meaningful predictions based on the look of the sky and the feel of the day. This book is the perfect companion to Alan Watt's international bestseller Instant Weather Forecasting. Its easily accessible format and revolutionary presentation has established the author's reputation as a layman's meteorologist. 'Still the best book of its kind around' All At Sea 'Worthwhile having either at home or on board' The Gaffers Log Read more...

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Staffing Forecasting and Planning (Staffing Strategically)

Staffing Forecasting and Planning (Staffing Strategically) Review

Well-researched and with practical applications, this manual shows the importance of understanding an organization’s business strategy, goals, and competitive environment to identify what talents the firm will need. The combination of strategic forecasting and labor-market planning outlined in this resource shows how to increase an organization's ability to improve its capabilities, reduce its costs, and survive any economic environment. Ensuring that the right people are in place at the right time, these practices help employers be proactive and smart about hiring decisions.

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Persistent Forecasting of Disruptive Technologies

Persistent Forecasting of Disruptive Technologies Review

"Technological innovations are key causal agents of surprise and disruption. In the recent past, the United States military has encountered unexpected challenges in the battlefield due in part to the adversary's incorporation of technologies not traditionally associated with weaponry. Recognizing the need to broaden the scope of current technology forecasting efforts, the Office of the Director, Defense Research and Engineering (DDR&E) and the Defense Intelligence Agency (DIA) tasked the Committee for Forecasting Future Disruptive Technologies with providing guidance and insight on how to build a persistent forecasting system to predict, analyze, and reduce the impact of the most dramatically disruptive technologies. The first of two reports, this volume analyzes existing forecasting methods and processes. It then outlines the necessary characteristics of a comprehensive forecasting system that integrates data from diverse sources to identify potentially game-changing technological innovations and facilitates informed decision making by policymakers. The committee's goal was to help the reader understand current forecasting methodologies, the nature of disruptive technologies and the characteristics of a persistent forecasting system for disruptive technology. Persistent Forecasting of Disruptive Technologies is a useful text for the Department of Defense, Homeland Security, the Intelligence community and other defense agencies across the nation."--Publisher's description. Read more...

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Weather Forecasting Handbook (5th Edition)

Weather Forecasting Handbook (5th Edition) Review

The Information Age has blossomed and now anyone can run a weather center from their own office or home. Unfortunately, nearly all popular weather books are nothing more than essays on the science of meteorology. The Weather Forecasting Handbook breaks this mold by explaining all the latest forecasting principles, techniques, and tools.

Basic physical concepts are reviewed, and commonly-employed analysis methods are presented. Then weather systems are explained in terms of their thermal structure, dynamics, and effects. Special problems such as thunderstorms, winter weather, and tropical weather get chapters of their own. Margins are filled with forecasting facts, hard-hitting quotes, education stories, and even a few fun weather jokes. With added emphasis on analysis, visualization, and awareness of model limitations, readers learn to learn tools properly and are always a step ahead.

The Weather Forecasting Handbook is a must-have for all meteorology students, advanced weather hobbyists, professionals, weathercasters, storm chasers, sailors, and pilots. Whether you want to know how a short wave works, how to find a front, what isentropic surfaces are, how to analyze a 500-millibar chart, what type of vertical motion to expect around jet streaks, or why a high pressure area is building, the Weather Forecasting Handbook's no-nonsense approach will give you a solid foundation to understanding everyday forecasting problems.

This version adds 41 pages and 46 illustrations compared to the previous (fourth) edition. It includes expanded information on numerous topics, especially on the subject of analysis, and adds minor corrections.

192 illustrations, 7 x 10", color cover. Read more...

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Demand-Driven Forecasting: A Structured Approach to Forecasting (Wiley and SAS Business Series)

Demand-Driven Forecasting: A Structured Approach to Forecasting (Wiley and SAS Business Series) Review

Praise for Demand-Driven Forecasting

A Structured Approach to Forecasting

"There are authors of advanced forecasting books who take an academic approach to explaining forecast modeling that focuses on the construction of arcane algorithms and mathematical proof that are not very useful for forecasting practitioners. Then, there are other authors who take a general approach to explaining demand planning, but gloss over technical content required of modern forecasters. Neither of these approaches is well-suited for helping business forecasters critically identify the best demand data sources, effectively apply appropriate statistical forecasting methods, and properly design efficient demand planning processes. In Demand-Driven Forecasting, Chase fills this void in the literature and provides the reader with concise explanations for advanced statistical methods and credible business advice for improving ways to predict demand for products and services. Whether you are an experienced professional forecasting manager, or a novice forecast analyst, you will find this book a valuable resource for your professional development."
—Daniel Kiely, Senior Manager, Epidemiology, Forecasting & Analytics, Celgene Corporation

"Charlie Chase has given forecasters a clear, responsible approach for ending the timeless tug of war between the need for 'forecast rigor' and the call for greater inclusion of 'client judgment.' By advancing the use of 'domain knowledge' and hypothesis testing to enrich base-case forecasts, he has empowered professional forecasters to step up and impact their companies' business results favorably and profoundly, all the while enhancing the organizational stature of forecasters broadly."
—Bob Woodard, Vice President, Global Consumer and Customer Insights, Campbell Soup Company Read more...

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Collaborative Planning, Forecasting, and Replenishment: How to Create a Supply Chain Advantage

Collaborative Planning, Forecasting, and Replenishment: How to Create a Supply Chain Advantage Review

"The process known as Collaborative Planning, Forecasting, and Replenishment (CPFR) is supply chain management taken to the extreme. The first book to document this cutting-edge technique that's been adapted by companies like Wal-Mart, Pillsbury, and Procter and Gamble, Collaborative Planning, Forecasting, and Replenishment collects case studies and contributions by the foremost experts in the field to give readers an insightful introduction to this revolutionary new supply chain method. The CPFR technique involves supply chain members sharing information in real time over the Internet, enhancing the collaborative dialogue between retailers and vendors. The process allows long- and short-term planning to happen instantaneously, as information is shared regarding forecasts, shipping and production, point-of-sale data, and order generation. Based on groundbreaking research done at Harvard Business School, this book shows anyone involved in long-term strategic planning how CPFR can be implemented -- quickly, successfully, and in almost any setting." Read more...

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Ahead of the Curve: A Commonsense Guide to Forecasting Business and Market Cycles

Ahead of the Curve: A Commonsense Guide to Forecasting Business and Market Cycles Review

Today's managers and investors are bombarded with so many conflicting economic reports and data that it seems impossible to know which way the market will turn until it's too late. Now, a thirty-five year Wall Street veteran enables managers and investors to stop relying on conventional economic forecasts (which are usually wrong), and confidently analyse how the market will impact their industry, business, or stocks. The author unveils his proven forecasting model--based on just a few key economic indicators--for identifying major directional changes in the economy and adjusting business and investing strategies accordingly. A simpler and more pragmatic approach to forecasting: user-friendly approach draws from empirical observation and first-hand practice rather than abstract economic theories Great timing: will appeal to the many business people and investors who got burned in the dotcom bust because they didn't see the downturn coming Proven model developed by a bonafide Wall Street sage: Ellis is widely respected as a sage when it comes to analysing economic trends based on over three decades as a successful Wall Street analyst Novel, counterintuitive, accessible: goes against the grain of common wisdom about what really drives the economy and makes practical tools available to a wide audience of practitioners for the first time Appendix B in the book specifically relates the methodology in the main section of the book to possible application in the UK, Canada, Germany, France, and Japan Read more...

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Before the Vote: Forecasting American National Elections

Before the Vote: Forecasting American National Elections Review

Over the last 50 years, the role of polling has taken on increasing prominence in the American electoral process. This book brings together some of the leading figures in political science to present their election forecasts, discuss their methodology, and present their critiques of the forecasting enterprise. They consider whether more accurate models of predicting voting behavior damages the political climate by making politicians increasingly enslaved by pollsters, and the effect on turnout when there is a broad consensus of who the winner will be.

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Introduction to Time Series Analysis and Forecasting (Wiley Series in Probability and Statistics)

Introduction to Time Series Analysis and Forecasting (Wiley Series in Probability and Statistics) Review

An accessible introduction to the most current thinking in and practicality of forecasting techniques in the context of time-oriented data.

Analyzing time-oriented data and forecasting are among the most important problems that analysts face across many fields, ranging from finance and economics to production operations and the natural sciences. As a result, there is a widespread need for large groups of people in a variety of fields to understand the basic concepts of time series analysis and forecasting. Introduction to Time Series Analysis and Forecasting presents the time series analysis branch of applied statistics as the underlying methodology for developing practical forecasts, and it also bridges the gap between theory and practice by equipping readers with the tools needed to analyze time-oriented data and construct useful, short- to medium-term, statistically based forecasts.

Seven easy-to-follow chapters provide intuitive explanations and in-depth coverage of key forecasting topics, including:

• Regression-based methods, heuristic smoothing methods, and general time series models

• Basic statistical tools used in analyzing time series data

• Metrics for evaluating forecast errors and methods for evaluating and tracking forecasting performance over time

• Cross-section and time series regression data, least squares and maximum likelihood model fitting, model adequacy checking, prediction intervals, and weighted and generalized least squares

• Exponential smoothing techniques for time series with polynomial components and seasonal data

• Forecasting and prediction interval construction with a discussion on transfer function models as well as intervention modeling and analysis

• Multivariate time series problems, ARCH and GARCH models, and combinations of forecasts

The ARIMA model approach with a discussion on how to identify and fit these models for non-seasonal and seasonal time series

The intricate role of computer software in successful time series analysis is acknowledged with the use of Minitab, JMP, and SAS software applications, which illustrate how the methods are imple-mented in practice. An extensive FTP site is available for readers to obtain data sets, Microsoft Office PowerPoint slides, and selected answers to problems in the book. Requiring only a basic working knowledge of statistics and complete with exercises at the end of each chapter as well as examples from a wide array of fields, Introduction to Time Series Analysis and Forecasting is an ideal text for forecasting and time series courses at the advanced undergraduate and beginning graduate levels. The book also serves as an indispensable reference for practitioners in business, economics, engineering, statistics, mathematics, and the social, environmental, and life sciences. Read more...

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Forecasting Expected Returns in the Financial Markets (Quantitative Finance)

Forecasting Expected Returns in the Financial Markets (Quantitative Finance) Review

Forecasting returns is as important as forecasting volatility in multiple areas of finance. This topic, essential to practitioners, is also studied by academics. In this new book, Dr Stephen Satchell brings together a collection of leading thinkers and practitioners from around the world who address this complex problem using the latest quantitative techniques.

*Forecasting expected returns is an essential aspect of finance and highly technical
*The first collection of papers to present new and developing techniques
*International authors present both academic and practitioner perspectives Read more...

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Mesoscale Meteorology and Forecasting

Mesoscale Meteorology and Forecasting Review

In 1984, the American Meteorological Society, the Cooperative Institute for Mesoscale Meteorological Studies, and the National Oceanic and Atmospheric Administration cosponsored the Intensive Course on Mesoscale Meteorology and Forecasting, held in Boulder, Colorado. This volume is an edited version of the lectures, including complete illustrations and extensive bibliographic references. The 31 chapters consider all aspects of mesoscale meteorology. After an introduction that discusses mesoscale classifications and typical forecast problems, the volume is organized in sections on observing techniques and systems, internally generated circulations, mesoscale convective systems, externally forced circulations, modeling, and short-range forecasting techniques and technology. As a textbook of mesoscale meteorology it will serve both practicing and student meteorologists. Read more...

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Financial Risk Forecasting: The Theory and Practice of Forecasting Market Risk with Implementation in R and Matlab (The Wiley Finance Series)

Financial Risk Forecasting: The Theory and Practice of Forecasting Market Risk with Implementation in R and Matlab (The Wiley Finance Series) Review

Financial Risk Forecasting is a complete introduction to practical quantitative risk management, with a focus on market risk. Derived from the authors teaching notes and years spent training practitioners in risk management techniques, it brings together the three key disciplines of finance, statistics and modeling (programming), to provide a thorough grounding in risk management techniques.

Written by renowned risk expert Jon Danielsson, the book begins with an introduction to financial markets and market prices, volatility clusters, fat tails and nonlinear dependence. It then goes on to present volatility forecasting with both univatiate and multivatiate methods, discussing the various methods used by industry, with a special focus on the GARCH family of models. The evaluation of the quality of forecasts is discussed in detail. Next, the main concepts in risk and models to forecast risk are discussed, especially volatility, value-at-risk and expected shortfall. The focus is both on risk in basic assets such as stocks and foreign exchange, but also calculations of risk in bonds and options, with analytical methods such as delta-normal VaR and duration-normal VaR and Monte Carlo simulation. The book then moves on to the evaluation of risk models with methods like backtesting, followed by a discussion on stress testing. The book concludes by focussing on the forecasting of risk in very large and uncommon events with extreme value theory and considering the underlying assumptions behind almost every risk model in practical use – that risk is exogenous – and what happens when those assumptions are violated.

Every method presented brings together theoretical discussion and derivation of key equations and a discussion of issues in practical implementation. Each method is implemented in both MATLAB and R, two of the most commonly used mathematical programming languages for risk forecasting with which the reader can implement the models illustrated in the book.

The book includes four appendices. The first introduces basic concepts in statistics and financial time series referred to throughout the book. The second and third introduce R and MATLAB, providing a discussion of the basic implementation of the software packages. And the final looks at the concept of maximum likelihood, especially issues in implementation and testing.

The book is accompanied by a website - www.financialriskforecasting.com – which features downloadable code as used in the book. Read more...

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