Does extreme rainfall lead to heavy losses in the food industry?

Author:

Lucas Edimilson Costa,Mendes-Da-Silva Wesley,Araujo Gustavo Silva

Abstract

Purpose Managing the risks associated to world food production is an important challenge for governments. A range of factors, among them extreme weather events, has threatened food production in recent years. The purpose of this paper is to analyse the impact of extreme rainfall events on the food industry in Brazil, a prominent player in this industry. Design/methodology/approach The authors use the AR-GARCH-GPD hybrid methodology to identify whether extreme rainfall affects the stock price of food companies. To do so, the authors collected the daily closing price of the 16 food industry companies listed on the Brazilian stock exchange (B3), in January 2015. Findings The results indicate that these events have a significant impact on stock returns: on more than half of the days immediately following the heavy rain that fell between 28 February 2005 and 30 December 2014, returns were significantly low, leading to average daily losses of 1.97 per cent. These results point to the relevance of the need for instruments to hedge against weather risk, particularly in the food industry. Originality/value Given that extreme weather events have been occurring more and more frequently, financial literature has documented attempts at assessing the economic impacts of weather changes. There is little research, however, into assessing the impacts of these events at corporate level.

Publisher

Emerald

Subject

Strategy and Management,Public Administration,Business and International Management,General Economics, Econometrics and Finance

Reference94 articles.

1. Reassessment of the weather effect: stock prices and wall street weather;Undergraduate Economic Review,2011

2. The role of autoregressive conditional skewness and kurtosis in the estimation of conditional var;Journal of Banking & Finance,2008

3. BDMEP (2015), “Banco de dados meteorológicos para ensino e pesquisa do inmet”, January, available at: www.inmet.gov.br/portal/index.php?r=bdmep/bdmep (accessed 5 January 2015).

4. Natural resource dependence theory: impact of extreme weather events on organizations;Journal of Business Research,2016

5. BM&FBovespa (2015a), “Bm&fbovespa a nova bolsa”, April, available at: www.bmfbovespa.com.br/ (accessed 10 April 2015).

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3