RELATIONSHIP BETWEEN CLIMATE POLICY UNCERTAINTY AND AGRICULTURE AND FOOD MARKET INDICES: TVP VAR APPROACH

Climate change significantly affects the availability, accessibility, quality and stability of food in the world. Climate change has the power to affect relevant companies, investors and policy-makers by putting pressure on agricultural production and practices. In this regard, the main purpose of this paper examines the dynamic connectivity nexus between the Climate Policy Uncertainty Index (CPU), FTSE 350 Food Producers Index (FTSE 350), S&P Commodity Producers Agriculture Net Return Index (S&P Commodity), FAO Food Price Index (FAO) and DAX Global Agricultural Index (DAX). In the paper time-varying parameter vector autoregressive (TVP-VAR) model was used in period of July 2007 to July 2022. It was observed that the FTSE 350 index spreads strong volatility to the CPU, S&P Commodity index and DAX index. In addition, it has been determined that S&P Commodity and DAX index emit weak volatility due to climate policy uncertainty.

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Publication Details

Journal
Nişantaşı üniversitesi sosyal bilimler dergisi/Nişantaşı Üniversitesi sosyal bilimler dergisi
Published
2025-06-30
DOI
https://doi.org/10.52122/nisantasisbd.1626552
Primary Topic
Market Dynamics and Volatility
Type
article
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article

RELATIONSHIP BETWEEN CLIMATE POLICY UNCERTAINTY AND AGRICULTURE AND FOOD MARKET INDICES: TVP VAR APPROACH

Feyyaz Zeren, Samet Gürsoy, Mesut Doğan, İbrahim Ekşi
Nişantaşı üniversitesi sosyal bilimler dergisi/Nişantaşı Üniversitesi sosyal bilimler dergisi
Market Dynamics and Volatility
article

RELATIONSHIP BETWEEN CLIMATE POLICY UNCERTAINTY AND AGRICULTURE AND FOOD MARKET INDICES: TVP VAR APPROACH

Feyyaz Zeren, Samet Gürsoy, Mesut Doğan, İbrahim Ekşi
article en

Abstract

Climate change significantly affects the availability, accessibility, quality and stability of food in the world. Climate change has the power to affect relevant companies, investors and policy-makers by putting pressure on agricultural production and practices. In this regard, the main purpose of this paper examines the dynamic connectivity nexus between the Climate Policy Uncertainty Index (CPU), FTSE 350 Food Producers Index (FTSE 350), S&P Commodity Producers Agriculture Net Return Index (S&P Commodity), FAO Food Price Index (FAO) and DAX Global Agricultural Index (DAX). In the paper time-varying parameter vector autoregressive (TVP-VAR) model was used in period of July 2007 to July 2022. It was observed that the FTSE 350 index spreads strong volatility to the CPU, S&P Commodity index and DAX index. In addition, it has been determined that S&P Commodity and DAX index emit weak volatility due to climate policy uncertainty.

Nişantaşı üniversitesi sosyal bilimler dergisi/Nişantaşı Üniversitesi sosyal bilimler dergisiVol. 13(1)
Bilecik Şeyh Edebali Üniversitesi (TR), Yalova University (TR), Burdur Mehmet Akif Ersoy Üniversitesi (TR), Gaziantep University (TR)
Openalex Percentile: Top 78%
Market Dynamics and Volatility
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RELATIONSHIP BETWEEN CLIMATE POLICY UNCERTAINTY AND AGRICULTURE AND FOOD MARKET INDICES: TVP VAR APPROACH — Feyyaz Zeren, Samet Gürsoy, et al. · Nişantaşı üniversitesi sosyal bilimler dergisi/Nişantaşı Üniversitesi sosyal bilimler dergisi (2025) | TGRS Research Map | TGRS