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Nowcasting Finnish GDP growth using financial variables: a MIDAS approach. (2020). Lindblad, Annika ; Laine, Olli-Matti.
In: BoF Economics Review.
RePEc:zbw:bofecr:42020.

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  4. BoF Economics Review 10 Marcellino, M., & Schumacher, C. (2010). Factor MIDAS for nowcasting and forecasting with ragged‐edge data: A model comparison for German GDP. Oxford Bulletin of Economics and Statistics 72(4), 518-550.

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  8. Foroni, C., Marcellino, M., & Schumacher, C. (2015). Unrestricted mixed data sampling (MIDAS): MIDAS regressions with unrestricted lag polynomials. Journal of the Royal Statistical Society: Series A (Statistics in Society) 178(1), 57-82.

  9. Friedman, B. M., & Kuttner, K. (1993). Why does the paper-bill spread predict real economic activity? In Business cycles, indicators and forecasting (pp. 213-254). University of Chicago Press.

  10. Ghysels, E., Kvedaras, V., & Zemlys, V. (2016). Mixed Frequency Data Sampling Regression Models: The R Package midasr. Journal of Statistical Software, 72(4), 1 - 35. doi:http://dx.doi.org/10.18637/jss.v072.i04 Ghysels, E., Santa-Clara, P., & Valkanov, R. (2004). The MIDAS touch: Mixed data sampling regression models. Discussion paper, UCLA.

  11. Ghysels, E., Santa-Clara, P., & Valkanov, R. (2005). There is a risk-return trade-off after all. Journal of Financial Economics (76), 509-548.

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  13. Ghysels, E., Sinko, A., & Valkanov, R. (2007). MIDAS regressions: Further results and new directions. Econometric Reviews, 26(1), 53-90.

  14. Henry, O. T., Olekalns, N., & Thong, J. (2004). Do stock market returns predict changes to output? Evidence from a nonlinear panel data model. Empirical Economics, 29(3), 527-540.

  15. Junttila, J., & Korhonen, M. (2011). Utilizing financial market information in forecasting real growth, inflation and real exchange rate. International Review of Economics & Finance 20(2), 281-301.

  16. Kuosmanen, P., & Vataja, J. (2014). Forecasting GDP growth with financial market data in Finland: Revisiting stylized facts in a small open economy during the financial crisis. Review of Financial Economics 23(2) 90-97.

  17. Nyberg, H. (2010). Dynamic probit models and financial variables in recession forecasting. Journal of Forecasting 29(1‐2), 215-230. 11 Nowcasting Finnish GDP growth using financial variables: a MIDAS approach

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