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A comparison of multivariate forecasting procedures for economic time series

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  • Kling, John L.
  • Bessler, David A.

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Suggested Citation

  • Kling, John L. & Bessler, David A., 1985. "A comparison of multivariate forecasting procedures for economic time series," International Journal of Forecasting, Elsevier, vol. 1(1), pages 5-24.
    • Handle: RePEc:eee:intfor:v:1:y:1985:i:1:p:5-24
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    Cited by:

    1. Ehsan Ahmed & J. Rosser & Richard Sheehan, 1989. "A comparison of national and international aggregate supply and demand var models: The United States, Japan and the European economic community," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 125(2), pages 252-272, June.
    2. Xiaojie Xu, 2017. "Short-run price forecast performance of individual and composite models for 496 corn cash markets," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(14), pages 2593-2620, October.
    3. P. Geoffrey Allen & Robert Fildes, 2005. "Levels, Differences and ECMs – Principles for Improved Econometric Forecasting," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(s1), pages 881-904, December.
    4. Bessler, David A., 1985. "The Forecast In Risk Analysis," Regional Research Projects > 1985: S-180 Annual Meeting, March 24-27, 1985, Charleston, South Carolina 271795, Regional Research Projects > S-180: An Economic Analysis of Risk Management Strategies for Agricultural Production Firms.
    5. Chen, Junyi & Kibriya, Shahriar & Bessler, David A. & Price, Edwin C., 2015. "A Causal Exploration of Food Price Shocks and Conflict in Sudan," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 202612, Agricultural and Applied Economics Association.
    6. De Gooijer, Jan G. & Hyndman, Rob J., 2006. "25 years of time series forecasting," International Journal of Forecasting, Elsevier, vol. 22(3), pages 443-473.
    7. Stamatiou, Pavlos & Dritsaki, Chaido, 2019. "The Phillips Curve: Unemployment Dynamics and Nairu Estimates of Poland’s Economy," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 72(3), pages 281-312.
    8. Longsheng Cheng & Mahboubeh Shadabfar & Arash Sioofy Khoojine, 2023. "A State-of-the-Art Review of Probabilistic Portfolio Management for Future Stock Markets," Mathematics, MDPI, vol. 11(5), pages 1-34, February.
    9. Xiaojie Xu & Yun Zhang, 2023. "Coking coal futures price index forecasting with the neural network," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 36(2), pages 349-359, June.
    10. Robert McNown & Andrei Rogers, 1989. "Forecasting Mortality: A Parameterized Time Series Approach," Demography, Springer;Population Association of America (PAA), vol. 26(4), pages 645-660, November.
    11. Kaylen, Michael S., 1986. "Vector Autoregression Forecasting Models: Suggested Improvements," 1986 Annual Meeting, July 27-30, Reno, Nevada 278167, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    12. Xiaojie Xu, 2020. "Corn Cash Price Forecasting," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(4), pages 1297-1320, August.
    13. Owen, C. Jane & Sporleder, Thomas L. & Bessler, David A., 1991. "Fabricated Cut Beef Prices As Leading Indicators Of Fed Cattle Price," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 16(01), pages 1-7, July.
    14. Colino, Evelyn V. & Irwin, Scott H. & Garcia, Philip, 2008. "How Much Can Outlook Forecasts be Improved? An Application to the U.S. Hog Market," 2008 Conference, April 21-22, 2008, St. Louis, Missouri 37620, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    15. Branimir Skoko & Pero Zovko, 2018. "Sustainability of Bosnia and Herzegovina’s international trade flows," Notitia - journal for economic, business and social issues, Notitia Ltd., vol. 1(4), pages 1-8, December.
    16. Jan G. De Gooijer & Rob J. Hyndman, 2005. "25 Years of IIF Time Series Forecasting: A Selective Review," Monash Econometrics and Business Statistics Working Papers 12/05, Monash University, Department of Econometrics and Business Statistics.
    17. Salmanzadeh-Meydani, N. & Fatemi Ghomi, S.M.T., 2019. "The causal relationship among electricity consumption, economic growth and capital stock in Iran," Journal of Policy Modeling, Elsevier, vol. 41(6), pages 1230-1256.
    18. Wang, Zijun & Bessler, David A., 2004. "Forecasting performance of multivariate time series models with full and reduced rank: an empirical examination," International Journal of Forecasting, Elsevier, vol. 20(4), pages 683-695.
    19. Moon, Seongmin & Hicks, Christian & Simpson, Andrew, 2012. "The development of a hierarchical forecasting method for predicting spare parts demand in the South Korean Navy—A case study," International Journal of Production Economics, Elsevier, vol. 140(2), pages 794-802.
    20. Chen, Junyi & Kibriya, Shahriar & Bessler, David & Price, Edwin, 2015. "A Causal Exploration of Conflict Events and Commodity Prices of Sudan," MPRA Paper 62461, University Library of Munich, Germany.
    21. Bradshaw, Girard W. & Orden, David, 1988. "Time Series Models For Exchange Rate And Agricultural Price Forecasts," Regional Research Projects > 1988: S-180 Annual Meeting, March 20-23, 1988, Savannah, Georgia 272786, Regional Research Projects > S-180: An Economic Analysis of Risk Management Strategies for Agricultural Production Firms.
    22. Xiaojie Xu & Yun Zhang, 2022. "Forecasting the total market value of a shares traded in the Shenzhen stock exchange via the neural network," Economics Bulletin, AccessEcon, vol. 42(3), pages 1266-1279.

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