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Report NEP-FOR-2014-12-19
This is the archive for NEP-FOR, a report on new working papers in the area of Forecasting. Rob J Hyndman issued this report. It is usually issued weekly.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
Other reports in NEP-FOR
The following items were announced in this report:
- Julia Polak & Maxwell L. King & Xibin Zhang, 2014, "A Model Validation Procedure," Monash Econometrics and Business Statistics Working Papers, Monash University, Department of Econometrics and Business Statistics, number 21/14.
- Fantazziini, Dean, 2014, "Nowcasting and Forecasting the Monthly Food Stamps Data in the US using Online Search Data," MPRA Paper, University Library of Munich, Germany, number 59696.
- Udichibarna Bose & Ronald MacDonald & Serafeim Tsoukas, 2014, "The role of education in equity portfolios during the recent financial crisis," Working Papers, Business School - Economics, University of Glasgow, number 2014_17, Oct.
- Dutta, Goutam & Pachisia, Divya, 2014, "Forecast Accuracy Along Booking Profile in the National Railways of an Emerging Asian Economy: Comparison of Different Techniques," IIMA Working Papers, Indian Institute of Management Ahmedabad, Research and Publication Department, number WP2014-10-01, Oct.
- Mehta, Anirudh & Kanishka, Kunal, 2014, "Modeling and Forecasting Volatility – How Reliable are modern day approaches?," MPRA Paper, University Library of Munich, Germany, number 59788, Nov.
- Anna Orlik & Laura Veldkamp, 2014, "Understanding Uncertainty Shocks and the Role of Black Swans," NBER Working Papers, National Bureau of Economic Research, Inc, number 20445, Aug.
- Pena-Levano, Luis M. & Ramirez, Octavio A., 2014, "Efficiency Gains In Cotton Price Forecasting Using Different Levels Of Data Aggregation," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota, Agricultural and Applied Economics Association, number 169814, DOI: 10.22004/ag.econ.169814.
- Ambach, Daniel & Croonenbroeck, Carsten, 2014, "Obtaining superior wind power predictions from a periodic and heteroscedastic Wind Power Prediction Tool," Discussion Papers, European University Viadrina Frankfurt (Oder), Department of Business Administration and Economics, number 361.
- Florian Huber & Tamas Krisztin & Philipp Piribauer, 2014, "Forecasting Global Equity Indices using Large Bayesian VARs," Department of Economics Working Papers, Vienna University of Economics and Business, Department of Economics, number wuwp184, Oct.
- Clément Marsilli, 2014, "Variable Selection in Predictive MIDAS Models," Working papers, Banque de France, number 520.
- Zhi Da & Ravi Jagannathan & Jianfeng Shen, 2014, "Growth Expectations, Dividend Yields, and Future Stock Returns," NBER Working Papers, National Bureau of Economic Research, Inc, number 20651, Oct.