Measuring forecasting ability: stationary ARMA process for the GDP growth of Italy

Mauceri, Gabriele (A.A. 2015/2016) Measuring forecasting ability: stationary ARMA process for the GDP growth of Italy. Tesi di Laurea in Applied statistics and econometrics, LUISS Guido Carli, relatore Giuseppe Ragusa, pp. 35. [Bachelor's Degree Thesis]

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Abstract/Index

Theoretical foundations. The model. Model estimation. Forecast comparison. The IMF forecasts. The ARMA forecasts.

References

Bibliografia: pp. 33-35.

Thesis Type: Bachelor's Degree Thesis
Institution: LUISS Guido Carli
Degree Program: Bachelor's Degree Programs > Bachelor's Degree Program in Economics and Business, english language (L-33)
Chair: Applied statistics and econometrics
Thesis Supervisor: Ragusa, Giuseppe
Academic Year: 2015/2016
Session: Summer
Deposited by: Alessandro Perfetti
Date Deposited: 21 Oct 2016 10:02
Last Modified: 21 Oct 2016 10:02
URI: https://tesi.luiss.it/id/eprint/17095

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