Arbeitspapier

A functional approach to test trending volatility

In this paper we extend the traditional GARCH(1,1) model by including a functional trend term in the conditional volatility of a time series. We derive the main properties of the model and apply it to all agricultural commodities in the Mexican CPI basket, as well as to the international prices of maize, wheat, pork, poultry and beef products for three different time periods that implied changes in price regulations and behavior. The proposed model seems to adequately fit the volatility process and, according to homoscedasticity tests, outperforms the ARCH(1) and GARCH(1,1) models, some of the most popular approaches used in the literature to analyze price volatility. Keywords: Agricultural prices, volatility, GARCH models.

Sprache
Englisch

Erschienen in
Series: Working Papers ; No. 2016-04

Klassifikation
Wirtschaft
Single Equation Models; Single Variables: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
Model Construction and Estimation
Price Level; Inflation; Deflation
Agricultural Policy; Food Policy
Thema
Agricultural prices
volatility
GARCH models

Ereignis
Geistige Schöpfung
(wer)
Guerrero Escobar, Santiago
Hernández del Valle, Gerardo
Juárez Torres, Miriam
Ereignis
Veröffentlichung
(wer)
Banco de México
(wo)
Ciudad de México
(wann)
2016

Handle
Letzte Aktualisierung
10.03.2025, 11:44 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Guerrero Escobar, Santiago
  • Hernández del Valle, Gerardo
  • Juárez Torres, Miriam
  • Banco de México

Entstanden

  • 2016

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