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Pregled bibliografske jedinice broj: 632956

A note on forecasting euro area inflation: leave- h-out cross validation combination as an alternative to model selection


Sorić, Petar; Lolić, Ivana
A note on forecasting euro area inflation: leave- h-out cross validation combination as an alternative to model selection // Central European journal of operations research, 23 (2015), 1; 205-214 doi:10.1007/s10100-013-0313-8 (međunarodna recenzija, članak, znanstveni)


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Naslov
A note on forecasting euro area inflation: leave- h-out cross validation combination as an alternative to model selection

Autori
Sorić, Petar ; Lolić, Ivana

Izvornik
Central European journal of operations research (1435-246X) 23 (2015), 1; 205-214

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Forecasting; Model Combination; Cross Validation; Jackknife

Sažetak
This paper evaluates the jackknife (leave-h-out) technique of averaging individual forecasting models. It off ers an initial empirical attempt to apply the leave-h-out cross-validation (CV) combination scheme to time series forecasting. The problem of obtaining weights for combining individual autoregressive forecasting models is solved by minimizing the CV criterion (as opposed to the simple (equally weighted) average of the considered benchmark models). The procedure is illustrated on the euro area yearly inflation rate. The recursive pseudo-out-of-sample forecasts are estimated with the forecasting period starting at the beginning of the recent economic crisis (August 2008). The results indicate CV's dominance with respect to benchmark models for longer forecast horizons (more than 4 months ahead). Moreover, a sensitivity analysis is performed in order to examine whether the obtained results are influenced by the choice of forecast horizon or the out-of-sample cut-off point. In the vast majority of cases, the CV combination superiority is indiff erent to the forecast horizon selection. Its dominance is also mostly not influenced by the cut-off point choice.

Izvorni jezik
Engleski

Znanstvena područja
Ekonomija



POVEZANOST RADA


Projekti:
067-0000000-2496 - Metodologija konjunkturnih istraživanja Eurposke unije i Republike Hrvatske (Čižmešija, Mirjana, MZOS ) ( CroRIS)

Ustanove:
Ekonomski fakultet, Zagreb

Profili:

Avatar Url Ivana Lolić (autor)

Avatar Url Petar Sorić (autor)

Poveznice na cjeloviti tekst rada:

doi link.springer.com

Citiraj ovu publikaciju:

Sorić, Petar; Lolić, Ivana
A note on forecasting euro area inflation: leave- h-out cross validation combination as an alternative to model selection // Central European journal of operations research, 23 (2015), 1; 205-214 doi:10.1007/s10100-013-0313-8 (međunarodna recenzija, članak, znanstveni)
Sorić, P. & Lolić, I. (2015) A note on forecasting euro area inflation: leave- h-out cross validation combination as an alternative to model selection. Central European journal of operations research, 23 (1), 205-214 doi:10.1007/s10100-013-0313-8.
@article{article, author = {Sori\'{c}, Petar and Loli\'{c}, Ivana}, year = {2015}, pages = {205-214}, DOI = {10.1007/s10100-013-0313-8}, keywords = {Forecasting, Model Combination, Cross Validation, Jackknife}, journal = {Central European journal of operations research}, doi = {10.1007/s10100-013-0313-8}, volume = {23}, number = {1}, issn = {1435-246X}, title = {A note on forecasting euro area inflation: leave- h-out cross validation combination as an alternative to model selection}, keyword = {Forecasting, Model Combination, Cross Validation, Jackknife} }
@article{article, author = {Sori\'{c}, Petar and Loli\'{c}, Ivana}, year = {2015}, pages = {205-214}, DOI = {10.1007/s10100-013-0313-8}, keywords = {Forecasting, Model Combination, Cross Validation, Jackknife}, journal = {Central European journal of operations research}, doi = {10.1007/s10100-013-0313-8}, volume = {23}, number = {1}, issn = {1435-246X}, title = {A note on forecasting euro area inflation: leave- h-out cross validation combination as an alternative to model selection}, keyword = {Forecasting, Model Combination, Cross Validation, Jackknife} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus
  • EconLit


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