Nonlinear Models for Economic Forecasting Applications: An Evolutionary Discussion

This article follows the main contributions brought to the nonlinear modeling literature. We investigate and review a series of parametric initiatives, focusing on the evolution of TAR and ARCH – GARCH model families in econometric and forecasting applications.

Bibliographic Details
Main Authors: Adrian Cantemir CĂLIN, Tiberiu DIACONESCU, Oana – Cristina POPOVICI
Format: Article
Language:English
Published: "Nicolae Titulescu" University of Bucharest 2014-06-01
Series:Computational Methods in Social Sciences
Subjects:
Online Access:http://cmss.univnt.ro/wp-content/uploads/vol/split/vol_II_issue_1/CMSS_vol_II_issue_1_art.005.pdf
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author Adrian Cantemir CĂLIN
Tiberiu DIACONESCU
Oana – Cristina POPOVICI
author_facet Adrian Cantemir CĂLIN
Tiberiu DIACONESCU
Oana – Cristina POPOVICI
author_sort Adrian Cantemir CĂLIN
collection DOAJ
description This article follows the main contributions brought to the nonlinear modeling literature. We investigate and review a series of parametric initiatives, focusing on the evolution of TAR and ARCH – GARCH model families in econometric and forecasting applications.
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2344-1232
language English
last_indexed 2024-03-12T06:16:05Z
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publisher "Nicolae Titulescu" University of Bucharest
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spelling doaj.art-b8b05ccb8a634cb0b862d7a10b11f2de2023-09-03T02:37:27Zeng"Nicolae Titulescu" University of BucharestComputational Methods in Social Sciences2344-12322344-12322014-06-01214247Nonlinear Models for Economic Forecasting Applications: An Evolutionary DiscussionAdrian Cantemir CĂLIN0Tiberiu DIACONESCU1Oana – Cristina POPOVICI2Institute for Economic Forecasting, cantemircalin@ipe.ro, Casa Academiei, Calea 13 Septembrie no.13, 5th district, Bucharest, 050711, RomaniaInstitute for Economic Forecasting, diaconescutiberiu@gmail.com, Casa Academiei, Calea 13 Septembrie no.13, 5th district, Bucharest, 050711, RomaniaThe Bucharest University of Economic Studies, Piața Romană no.6, 1st district, Bucharest, 010374, RomaniaThis article follows the main contributions brought to the nonlinear modeling literature. We investigate and review a series of parametric initiatives, focusing on the evolution of TAR and ARCH – GARCH model families in econometric and forecasting applications.http://cmss.univnt.ro/wp-content/uploads/vol/split/vol_II_issue_1/CMSS_vol_II_issue_1_art.005.pdfnonlinear parametric modelsthreshold modelsARCH - GARCH models
spellingShingle Adrian Cantemir CĂLIN
Tiberiu DIACONESCU
Oana – Cristina POPOVICI
Nonlinear Models for Economic Forecasting Applications: An Evolutionary Discussion
Computational Methods in Social Sciences
nonlinear parametric models
threshold models
ARCH - GARCH models
title Nonlinear Models for Economic Forecasting Applications: An Evolutionary Discussion
title_full Nonlinear Models for Economic Forecasting Applications: An Evolutionary Discussion
title_fullStr Nonlinear Models for Economic Forecasting Applications: An Evolutionary Discussion
title_full_unstemmed Nonlinear Models for Economic Forecasting Applications: An Evolutionary Discussion
title_short Nonlinear Models for Economic Forecasting Applications: An Evolutionary Discussion
title_sort nonlinear models for economic forecasting applications an evolutionary discussion
topic nonlinear parametric models
threshold models
ARCH - GARCH models
url http://cmss.univnt.ro/wp-content/uploads/vol/split/vol_II_issue_1/CMSS_vol_II_issue_1_art.005.pdf
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