Research Awards

SAS-IIF Grant | IIF Tao Hong Award in Energy Forecasting | SAS-IIF Award: Past Recipients


SAS-IIF Grant to Promote Research on Forecasting

For the fifteenth year, the IIF, in collaboration and with financial support from SAS®, is proud to announce financial support for research on how to improve forecasting methods and business forecasting practice. The awards for the 2017-2018 year will be (2) $5,000 grants; in Business Applications and Methodology. The deadline for applications is September 29, 2017.  Click here for the SAS-IIF award description and eligibility.

Applications must include:

  • Description of the project (max. 4 pages)
  • Brief (max. 4 page) c.v., including references
  • Budget and work-plan for the project (brief, 1page max.)

All applications and inquiries should be sent to .


IIF Tao Hong Best Paper Award in Energy Forecasting

Professor Tao Hong has generously funded a new research award for the best International Journal of Forecasting (IJF) paper on energy forecasting, to be awarded every two years. In 2018, we will award a paper published in 2015-2016, and we will make the award every two years after that. The prize will be US$1000 plus an engraved plaque. Up to one additional outstanding paper certificate may also be awarded.

The 2016 award was given to Professor Rafał Weron for his 2014 paper “Electricity price forecasting: A review of the state-of-the-art with a look into the future”, IJF 30(4), 1030-1081

Nominations are invited from any reader of the IJF. Each person may nominate up to three papers, but you cannot nominate a paper that you have coauthored yourself. Papers coauthored by Tao Hong or one of the award committee are not eligible for the prize. All nominations are to be accompanied by a short statement (up to 200 words) from the nominator, explaining why the paper deserves an award.


SAS-IIF Research Award – Past Recipients

[click on date to view recipients and their reports]

2016-2017

Grant awarded to Julie Novak and Beatriz Etchegaray García, IBM Thomas J. Watson Research Center, for the project proposal in the category of Business Applications “A Bayesian Model for Forecasting Time Series in a Hierarchically Structured Organisation.”

Grant awarded to Leopoldo Catania and Tommaso Proietti, University of Rome, for the project proposal in the category of Methodology “Forecasting Realized Volatility and the Role of Time{Varying Dependence with Market Returns.”

2015-2016

Grant awarded to Jaqueson K. Galimberti, ETH Zürich-KOF Swiss Economic Institute, for the project proposal in the category of Business Applications “An outer space view of the business cycles.”

Grant awarded to Tatevik Sekhposyan, Texas A&M University, USA for the project proposal in the category of Methodology “Model Selection and Model Averaging based on Economic Fundamentals.”

2014-2015

Grant awarded to Valerio Poti, University College Dublin, Ireland, for the project proposal in the category of Business Applications “Predicting Predictability.”

Grant awarded to David Ardia, University Laval, Canada; Lennart F. Hoogerheide, Vrije Universiteit Amsterdam; Jeremy Kolly, University Laval, Canada and Fribourg University, Switzerland, for the project proposal in the category of Methodology “Bayesian Prediction of Market Risk using Regime-Switching GARCH Models.”

2013-2014

Grant awarded to Jeffrey Stonebraker, North Carolina State University, USA, for the project proposal in the category of Business Applications “Probabilistic Forecasting of the Global Demand for the Treatment of Hemophilia B.”

Grant awarded to Yongchen (Herbert) Zhao, University at Albany, USA, for the project proposal in the category of Methodology “Robust Real-Time Automated Forecast Combination in SAS: Development of a SAS Procedure and a Comprehensive Evaluation of Recently Developed Combination Methods.”

2012-2013

Grant awarded to  Zoe Theocharis, University College London; Nigel Harvey, University College London; Leonard Smith, London School of Economics, for the project proposal in the category of Business Applications “Improving judgmental input to hurricane forecasts in the insurance and reinsurance sector.”

Grant awarded to Elena-Ivona Dumitrescu, Janine Christine Balter, and Peter Reinhard Hansen, European University Institute, Italy, for the project proposal in the category of Methodology “Forecasting Exchange Rate Volatility: Multivariate Realized GARCH Framework.”

Grant awarded to Yorghos Tripodis, Boston University, USA, for the project proposal in the category of Business Applications “Forecasting the Cognitive Status in an Aging Population.”

2011-2012

Grant awarded to Stavros Asimakopoulos, Lancaster University, UK, for the project proposal in the category of Business Applications “How to design Mobile Forecasting User Interfaces (MFUI) to improve business forecasting.”

Grant awarded to Siddharth Arora and James Taylor, University of Oxford, UK, for the project proposal in the category of Business Applications “Short-term Load Forecasting Using Rule-based Seasonal Exponential Smoothing Incorporating Special Day Effects.”

Grant awarded to Juan Trapero, Universidad de Castilla-La Mancha, Spain; Nikolaos Kourentzes, Lancaster University, UK; and Diego Pedregal, Universidad de Castilla-La Mancha, Spain, for the project proposal in the category of Methodology “Minimizing the gap between judgmental and statistical forecasting in the presence of promotions.”

2010-2011

Grant awarded to Matthias Seifert, IE Business School, Spain, for the project proposal in the category of Business Applications “Time series forecasting: The contribution of task, decision support and cognitive factors in judgmental effectiveness.”

Grant awarded to Bryan Routledge and Noah Smith, Carnegie Mellon University, USA, for the project proposal in the category of Methodology “Text-Driven Forecasting of Mergers: Identifying Targets and Acquirers.

2009-2010

Grant awarded to Robert Fildes, Lancaster University, UK and Paul Goodwin, University of Bath, UK for the project proposal in the category of Business Applications “Improving the use of information and advice in supply chain forecasting.”

Grant awarded to David Dickey and Melinda Thielbar, North Carolina State University, USA, for the project proposal in the category of Methodology “Neural Networks for Time Series Prediction: Practical Implications of Theoretical Results.”

2008-2009

Grant awarded to Hossein Hassani and Anatoly Zhigljavsky, School of Mathematics, Cardiff University; Saeed Heravi, Cardiff Business School, Cardiff University for the project proposal in the category of Applications “Forecasting European Industrial Production with Multivariate Singular Spectrum Analysis

2007-2008

Grant awarded to Eric Bélanger, Department of Political Science, McGill University; Michael S. Lewis-Beck, Department of Political Science, University of Iowa; and Richard Nadeau, Department of Political Science, University of Montreal, for their project proposal “Improving Election Forecasting in the United Kingdom.”

Grant awarded to Gloria González-Rivera, Department of Economics, University of California – Riverside, for her project proposal “Evaluation of Multidimensional Predictive Densities.”

2006-2007

Grant awarded to Carolina García-Martos, Universidad Politécnica de Madrid, and María Jesús Sánchez and Julio Rodríguez Universidad Politécnica de Madrid, “Unobserved Component Model for Forecasting Electricity Prices and Their Volatilities.”

Grant awarded to Barbara Rossi, Duke University, “New Methods for Forecasting and Model Evaluation.”

2005-2006

Grant awarded to Sven Crone, Lancaster University, Management School, UK, and Konstantinos Nikolopoulos, Manchester Business School, UK, “Automatic Modeling and Forecasting with Neural Networks – A Forecasting Competition Evaluation.”

Grant awarded to Pilar Poncela, Universidad Autónoma de Madrid, Spain, and Eva Senra, Universidad de Alcala, Spain “Combining Forecasts Through Factor Models: Assessing Consensus and Uncertainty.”

2004-2005

Grant awarded to Peter Zhang, Georgia State University, USA, and Douglas M. Kline, University of North Carolina at Wilmington, USA, “Quarterly Times Series Forecasting.”

Grant awarded to Ting Yu, University of Technology at Sydney, Australia, “Incorporating Prior Domain Knowledge in Machine Learning.”

2003-2004

Grant awarded to Kesten Green, Business and Economic Forecasting Unit, Monash University, Melbourne, Australia, “Assessing Probabilistic Forecasts.”

Grant awarded to Brajendra Sutradhar, Memorial University of Newfoundland, Canada, “Best Practice Recommendation for Forecasting Counts.”

Grant awarded to Min Qi, Kent State University, USA, and G. Peter Zhang, Georgia State University, USA, “Trend Time Series Modeling and Forecasting with Neural Networks.”

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