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Forecasting Capacity of ARIMA Models; A Study on Croatian Industrial Production and its Sub-sectors Cover

Forecasting Capacity of ARIMA Models; A Study on Croatian Industrial Production and its Sub-sectors

Open Access
|Jun 2017

References

  1. Bačić, K. & Vizek, M. (2008). Forecasting business and growth cycles in Croatia. Economic Review, 59(11), 646-668.
  2. Bačić, K. & Vizek, M. (2006). A brand new CROLEI - do we need a new forecasting index? Financial Theory and Practice, 30(4), 311-346.
  3. Brockwell, P.J. & Davis, R. A. (2002). Introduction to time series and forecasting, 2nd edition. New York: Springer.10.1007/b97391
  4. Bruno G. & Lupi, C. (2004). Forecasting industrial production and the early detection of turning points. Empirical Economics, 29(3), 647-671.
  5. Bulligan, G., Golinelli, R. & Parigi, G. (2010). Forecasting monthly industrial production in real time: from single equations to factor based-models. Empirical Economics, 39(2), 303-336.10.1007/s00181-009-0305-7
  6. Cerovac, S. (2005). Novi kompozitni indikatori za hrvatsko gospodarstvo: prilog razvoju domaćeg sustava cikličkih indikatora. Istraživanja 1-16, travanj 2005, Hrvatska narodna banka, Croatian National Bank. Retrieved November 14, 2016, from www.hnb.hr..
  7. Čižmešija, M. & Bahovec, V. (2009). Forecasting the direction of changes in Croatia’s industrial production with ICI and CROLEI. Revista Investigacìon Operacional, 30(2), 140-148.
  8. Čižmešija, M. & Knezović, J. (2012). Direct and indirect approach in forecasting Croatia’s total energy consumption, Economic Review, 6(1-2), 22-43.
  9. Hassani, H., Heravi, S. & Zhigljavsky, A. (2009). Forecasting European Union industrial production with singular spectrum analysis. International Journal of Forecasting, 25(1), 103-118.10.1016/j.ijforecast.2008.09.007
  10. Jaegers, T. (2013). Short-term business statistics for Croatia and the European Union. Production and turnover trends in Croatia and in the European Union, Statistics in Focus 23/2013, Eurostat.
  11. Kaynar, O. (2012). Forecasting industrial production index with soft computing techniques. Economic computation and economic cybernetics studies and research, 3(3), 113-138.
  12. Krznar, I. (2011). Identifying recession and expansion periods in Croatia. Working papers W-29, Croatian National Bank.
  13. Singh, S.S., Devi, L.T. & Deb Roy, T. (2016). Time series analysis of index of industrial production of India. IOSR Journal of Mathematics, 12(3), 1-7.
  14. Sjöberg, J. (2010). Prediction of industrial production based on nonlinear time series models. Examensarbete 2010:3, Mathematical Statistics, Stockholm University.
  15. Škare, M. & Tomić, D. (2014). Examining the link between innovation, productivity and growth: a global view. Amfi teatru Economic Journal, 16(36), 606-624.
  16. Tomić, D. (2016). A more complex approach to the terms of trade dynamics; the case of Croatia. In M. Benazić, D. Učkar & A. Novak (Eds.), The EU Economic Environment Post-Crisis: Policies, Institutions and Mechanisms. Pula: Faculty of Economics and Tourism ‘Dr. Mijo Mirković’. (in the process of publishing)
DOI: https://doi.org/10.1515/zireb-2017-0009 | Journal eISSN: 1849-1162 | Journal ISSN: 1331-5609
Language: English
Page range: 81 - 99
Published on: Jun 9, 2017
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2017 Daniel Tomić, Saša Stjepanović, published by University of Zagreb, Faculty of Economics & Business
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.