VOLUME 1
PART ONE: SMOOTHING PHILOSOPHY
Exponential Smoothing: The State of the Art
Everette Gardner
Exponential Smoothing With an Adaptive Response Rate
D.W. Trigg and A.G. Leach
Forecasting Trends in Time Series
Everette Gardner and Ed McKenzie
Integration with Statistical Approaches
A New Approach to Linear Filtering and Prediction Problems
Rudolf Kalman
Understanding the Kalman Filter
Richard Meinhold and Nozer Singpurwalla
Bayesian Forecasting
P.J. Harrison and C.F. Stevens
A Unified View of Statistical Forecasting Procedures
Andrew Harvey
Estimation and Prediction for a Class of Dynamic Nonlinear Statistical Models
Keith Ord, Anne Koehler and Ralph Snyder
Univariate Analyses of Time Series
Autoregressive Integrated Moving Average Models
Box-Jenkins Seasonal Forecasting: Problems in a Case Study with Discussion
Chris Chatfield and David Prothero
Outliers, Level Shifts, and Variance Changes in Time Series
Ruey Tsay
Unit Root Testing
Distribution of the Estimators for Autoregressive Time Series with a Unit Root
David Dickey and Wayne Fuller
Trends and Random-Walks in Macroeconomic Time Series: Some Evidence and Implications
Charles Nelson and Charles Plosser
Testing the Null Hypothesis of Stationarity against the Alternative of a Unit Root: How Sure Are We that Economic Time Series have a Unit Root?
Denis Kwiatkowski, Peter Phillips, Peter Schmidt and Yongcheol
Efficient Tests for an Autoregressive Unit Root
Graham Elliott, Thomas Rothenberg and James Stock
VOLUME 2
Psychologically-Based Approaches
Formalising Judgment
The Delphi Technique as a Forecasting Tool: Issues and Analysis
Gene Rowe and George Wright
Using Segmentation to Improve Sales Forecasts based on Purchase Intent: Which "Intenders" Actually Buy?
Vicki Morwitz and David Schmittlein
Bootstrapping (Judgmental Meaning)
Clinical Versus Actuarial Judgment
Robyn Dawes, David Faust and Paul Meehl
Heuristics and Biases in Forecasting
Timid Choices and Bold Forecasts: A Cognitive Perspective on Risk-Taking
Daniel Kahneman and Dan Lovallo
Judgment under Uncertainty: Heuristics and Biases
Amos Tversky and Daniel Kahneman
Interaction of Judgmental and Statistical Forecasting Methods: Issues and Analysis
Derek Bunn and George Wright
Improving Judgment
Database Models and Managerial Intuition - 50% Model + 50% Manager
Robert Blattberg and Stephen Hoch
Taking Advice: Accepting Help, Improving Judgment, and Sharing Responsibility
Nigel Harvey and Ilan Fischer
The Accuracy of Combining Judgmental and Statistical Forecasts
Michael Lawrence, Robert Edmundson and Marcus O'Connor
PART TWO: ECONOMETRICS: INTRODUCTION
Commentary on the State of the Art
Econometrics: Alchemy or Science?
David Hendry
Can We Improve the Perceived Quality of Economic Forecasts?
Clive Granger
Vector Autoregressions
Forecasting With Bayesian Vector Autoregressions: Five Years of Experience
Robert Litterman
Cointegration (Merging of TS and Econometrics?)
Spurious Regressions in Econometrics
Clive Granger and Paul Newbold
Econometric Modeling of the Aggregate Time Series Relationship between Consumers' Expenditure and Income in the UK
James Davidson, David Hendry, Frank Srba and Stephen Yeo
Cointegration and Error Correction: Representation, Estimation, and Testing
Robert Engle and Clive Granger
Maximum Likelihood Estimation and Inference on Cointegration - With Applications to the Demand for Money
Soren Johansen and Katarina Juselius
VOLUME THREE
Computer-Intensive Methods
How Effective Are Neural Networks at Forecasting and Prediction? A Review and Evaluation
Monica Adya and Fred Collopy
Some Recent Developments in Nonlinear Time-Series Modeling, Testing, and Forecasting
Jan Degooijer and Kuldeep Kumar
Forecasting With Artificial Neural Networks: The State of the Art
Guoqiang Zhang, B. Eddy Patuwo and Michael Hu
Neural Network Models for Time Series Forecasts
Tim Hill, Marcus O' Connor and William Remus
Neural Networks for Short-Term Load Forecasting: A Review and Evaluation
Henrique Steinherz Hippert, Carlos Eduardo Pedreira and Reinaldo Castro Souza
Measurement of Forecast Errors
Evaluation of Extrapolative Forecasting Methods: Results of a Survey of Academicians and Practitioners
Robert Carbone and J. Scott Armstrong
Error Measures for Generalizing About Forecasting Methods: Empirical Comparisons
J. Scott Armstrong and Fred Collopy
Diagnostic Verification of Probability Forecasts
Allan Murphy and Robert Winkler
Comparing and Selecting
Comparing Predictive Accuracy
Francis Diebold and Roberto Mariano
Part Three
Forecasting Competitions
A Comparison of Forecasting Techniques on Economic Time Series
David Reid
Experience with Forecasting Univariate Time Series and the Combination of Forecasts
Paul Newbold and Clive Granger
The Accuracy of Extrapolation (Time-Series) Methods - Results of a Forecasting Competition
Spyros Makridakis et al
The Impact of Empirical Accuracy Studies On Time-Series Analysis and Forecasting
Robert Fildes & Spyros Makridakis
Empirical Exchange Rate Models of the Seventies: Do They Fit Out of Sample?
Richard Meese and Kenneth Rogoff
VOLUME 4
Combining and Encompassing
The Combination of Forecasts
John Bates and Clive Granger
Combining Forecasts: A Review and Annotated-Bibliography
Robert Clemen
Improved Methods of Combining Forecasts
Clive Granger and R. Ramanathan
Econometric Evaluation of Linear Macro-Economic Models
Yock Chong and David Hendry
Forecasting Distributions
Calculating Interval Forecasts
Chris Chatfield
Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation
Robert Engle
Modeling and Forecasting Realized Volatility
Torben Andersen, Tim Bollerslev, Francis Diebold and Paul Labys
Forecasting Volatility in Financial Markets: A Review
Ser-Huang Poon and Clive Granger
Forecasting Practice
Familiarity, Application, and Performance of Sales Forecasting Techniques
John Mentzer and James Cox
Sales Forecasting Practices: Results from a United States Survey
Douglas Dalrymple
The Organization and Improvement of Market Forecasting
Robert Fildes and Robert Hastings
Planning and Strategy
Forecasting and Planning: An Evaluation
Robin Hogarth and Spyros Makridakis
When and How to Use Scenario Planning: A Heuristic Approach with Illustration
Paul Schoemaker
Part Four
Operations
Forecasting and Stock Control for Intermittent Demand
J.D. Croston
Forecasting Systems for Production and Inventory Control
Robert Fildes and Charles Beard
Quantifying the Bullwhip Effect in a Simple Supply Chain: The Impact of Forecasting, Lead Times, and Information
Frank Chen, Zvi Drezner, Jennifer Ryan and David Simchi-Levi
VOLUME 5
Marketing
A New Product Growth Model for Consumer Durables
Frank Bass
Forecasting New Product Penetration with Flexible Substitution Patterns
David Brownstone and Kenneth Train
Modeling Consumer Choice among SKUs
Peter Fader and Bruce Hardie
Premarket Forecasting Really New Products
Glen Urban, Bruce Weinberg and John Hauser
Technology Forecasting
A Diffusion Theory Model of Adoption and Substitution for Successive Generations of High-Technology Products
John Norton and Frank Bass
Macroeconomic Forecasting
Introduction to Leading Economic Indicators: New Approaches and Forecasting Records
Kajal Lahiri and Geoffrey Moore
Forecasting Accuracy of Alternative Techniques: A Comparison of United-States Macroeconomic Forecasts
S.K. McNees
Forecasting Output with the Composite Leading Index: A Real-Time Analysis
Francis Diebold and Glenn Rudebusch
Macroeconomic Forecasting: A Survey
Kenneth Wallis
Macroeconomic Forecasting Using Diffusion Indexes
James Stock and Mark Watson
Rational Expectations and Macroeconomic Forecasts
V. Zarnowitz
Bayesian and Non-Bayesian Methods for Combining Models and Forecasts with Applications to Forecasting International Growth Rates
Chung-ki Min and Arnold Zellner
Accounting and Finance
A Survey of Credit and Behavioural Scoring: Forecasting Financial Risk of Lending to Consumers
Lyn Thomas
Financial Ratios, Discriminant Analysis and Prediction of Corporate Bankruptcy
Edward Altman
Bankruptcy Prediction Using Neural Networks
Rick Wilson and Ramesh Sharda
Predictability of Stock Returns: Robustness and Economic Significance
M. Hashem Pesaran and Allan Timmermann
Analysts Forecasts as Earnings Expectations
Patricia O'Brien