Los impactos del sentimiento del mercado de petróleo en las variables macroeconómicas: un análisis de autoregresión vectorial de panel

Autores/as

  • Diego Pitta de Jesus Universidade Federal Rural de Pernambuco (UFRPE), Brasil
  • Elvira Helena Oliveira de Medeiros
  • José Alderir Silva Universidad Federal Rural del Semiárido, Brasil
  • Thiago Geovane Pereira Gomes Universidade do Estado do Rio Grande do Norte, Brasil

Palabras clave:

mercado del petróleo, análisis de sentimiento, OPEP, panel VAR, impulso-respuesta

Resumen

En los últimos años, las decisiones de la OPEP sobre la producción de petróleo han provocado cambios en el precio del producto y, por consiguiente, han afectado a las variables macroeconómicas de los países. Así pues, el objetivo del documento es elaborar un índice de la confianza en el mercado del petróleo a partir de los informes mensuales de la OPEP y verificar sus efectos sobre las variables macroeconómicas en los países exportadores e importadores de petróleo. Para calcular la polaridad se utilizó un diccionario específico de textos económicos y financieros. Tras construir el índice, se estimó un modelo de panel VAR. Los principales resultados mostraron que el aumento de la confianza en el mercado del petróleo, es decir, un mayor optimismo en el mercado de materias primas, es capaz de elevar el producto de la economía, reducir el tipo de interés a corto plazo y aumentar la tasa de inflación. Además, el mayor optimismo del mercado conduce a precios más bajos del petróleo. Por último, los resultados también ilustran que, a pesar del importante efecto del índice de sentimiento sobre las variables del modelo, esta magnitud es menor en el caso de las crisis del precio del petróleo.

Biografía del autor/a

Diego Pitta de Jesus, Universidade Federal Rural de Pernambuco (UFRPE), Brasil

Doutor em Economia Aplicada - UFPB e Professor Adjunto da UFRPE

José Alderir Silva, Universidad Federal Rural del Semiárido, Brasil

Doutor em Economia Aplicada - UFPB e Professor da UFERSA.

Thiago Geovane Pereira Gomes, Universidade do Estado do Rio Grande do Norte, Brasil

Doutor em Economia Aplicada - UFPB e Professor Adjunto da UERN.

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Publicado

2024-12-30

Número

Sección

Artículo científico