Modeling return and volatility spillovers among food prices in Nigeria

This paper focuses on the return and volatility spillovers among the major agricultural commodities in Nigeria. Specifically, we examine the spillovers across wheat, rice, soybeans, groundnut and palm oil both in terms of returns and volatility using monthly data from January 1980 to June 2017. We e...

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Main Authors: Ismail O. Fasanya, Temitope F. Odudu
Format: Article
Language:English
Published: Elsevier 2020-12-01
Series:Journal of Agriculture and Food Research
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2666154320300107
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spelling doaj-0936e11fe8a44c81987b823a31b646a82021-02-27T04:40:56ZengElsevierJournal of Agriculture and Food Research2666-15432020-12-012100029Modeling return and volatility spillovers among food prices in NigeriaIsmail O. Fasanya0Temitope F. Odudu1Wits Business School, University of the Witwatersrand, Johannesburg, South Africa; Corresponding author.Department of Economics, College of Management Sciences, Federal University of Agriculture, Abeokuta, NigeriaThis paper focuses on the return and volatility spillovers among the major agricultural commodities in Nigeria. Specifically, we examine the spillovers across wheat, rice, soybeans, groundnut and palm oil both in terms of returns and volatility using monthly data from January 1980 to June 2017. We employ the Diebold and Yilmaz (2012) spillover approach and consequently, we compute the Total Spillover, Directional Spillover and Net Spillover indices. In a bid to capture the inherent secular and cyclical movements in the Nigerian agricultural commodities market, we carry out the rolling sample analysis which complements the spillover results. We find evidence of interdependence among major agricultural commodities in Nigeria given the spillover indices. Interestingly, return and volatility spillovers exhibit both trends and bursts respectively. In addition, we recognize crisis periods that seem to have motivated the documented fluctuations in returns and volatilities of the Nigerian agricultural commodities market. Our results are robust to the VAR lag structure.http://www.sciencedirect.com/science/article/pii/S2666154320300107Agricultural marketReturnsVolatilitiesVector autoregression (VAR)Forecast error varianceSpillover index
collection DOAJ
language English
format Article
sources DOAJ
author Ismail O. Fasanya
Temitope F. Odudu
spellingShingle Ismail O. Fasanya
Temitope F. Odudu
Modeling return and volatility spillovers among food prices in Nigeria
Journal of Agriculture and Food Research
Agricultural market
Returns
Volatilities
Vector autoregression (VAR)
Forecast error variance
Spillover index
author_facet Ismail O. Fasanya
Temitope F. Odudu
author_sort Ismail O. Fasanya
title Modeling return and volatility spillovers among food prices in Nigeria
title_short Modeling return and volatility spillovers among food prices in Nigeria
title_full Modeling return and volatility spillovers among food prices in Nigeria
title_fullStr Modeling return and volatility spillovers among food prices in Nigeria
title_full_unstemmed Modeling return and volatility spillovers among food prices in Nigeria
title_sort modeling return and volatility spillovers among food prices in nigeria
publisher Elsevier
series Journal of Agriculture and Food Research
issn 2666-1543
publishDate 2020-12-01
description This paper focuses on the return and volatility spillovers among the major agricultural commodities in Nigeria. Specifically, we examine the spillovers across wheat, rice, soybeans, groundnut and palm oil both in terms of returns and volatility using monthly data from January 1980 to June 2017. We employ the Diebold and Yilmaz (2012) spillover approach and consequently, we compute the Total Spillover, Directional Spillover and Net Spillover indices. In a bid to capture the inherent secular and cyclical movements in the Nigerian agricultural commodities market, we carry out the rolling sample analysis which complements the spillover results. We find evidence of interdependence among major agricultural commodities in Nigeria given the spillover indices. Interestingly, return and volatility spillovers exhibit both trends and bursts respectively. In addition, we recognize crisis periods that seem to have motivated the documented fluctuations in returns and volatilities of the Nigerian agricultural commodities market. Our results are robust to the VAR lag structure.
topic Agricultural market
Returns
Volatilities
Vector autoregression (VAR)
Forecast error variance
Spillover index
url http://www.sciencedirect.com/science/article/pii/S2666154320300107
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