Proceedings of the 2024 3rd International Conference on Information Economy, Data Modelling and Cloud Computing (ICIDC 2024)

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Extreme Climate and Agricultural Product Price Volatility: Empirical Evidence from the Futures Market

Authors
Zishuo Lian1, *, Surui Zhang1, Yawen Lin1, Qianting Ma1, Rong Sun2
1College of Finance, Nanjing Agricultural University, Nanjing, China
2School of Accounting, Nanjing Audit University, Nanjing, China
*Corresponding author. Email: Lzs02921@outlook.com
Corresponding Author
Zishuo Lian
Available Online 31 August 2024.
DOI
10.2991/978-94-6463-504-1_14How to use a DOI?
Keywords
Agricultural Product Futures; Extreme Climate; Shannon Entropy; Network Clustering; Seasonal Heterogeneity
Abstract

As the frequency of extreme climate events escalates, the financial systems face significant challenges. This paper empirically examines the effects of extreme climate on the volatility of agricultural product futures prices by constructing a network of agricultural product futures. The findings reveal three key impacts: First, extreme climate conditions increase the uncertainty in agricultural product futures supply and investor market expectations, significantly affecting the volatility of futures prices. Second, extreme climate enhance the volatility of agricultural product futures prices by increasing network clustering. Third, the effects of extreme climate on the volatility of agricultural product futures prices are significant in autumn due to seasonal heterogeneity. This paper unveils the mechanisms through which extreme climate impacts agricultural product futures price volatility, offering insights and policy recommendations to relevant sectors for mitigating the effects of extreme climate on the agricultural futures market.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 3rd International Conference on Information Economy, Data Modelling and Cloud Computing (ICIDC 2024)
Series
Advances in Computer Science Research
Publication Date
31 August 2024
ISBN
978-94-6463-504-1
ISSN
2352-538X
DOI
10.2991/978-94-6463-504-1_14How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Zishuo Lian
AU  - Surui Zhang
AU  - Yawen Lin
AU  - Qianting Ma
AU  - Rong Sun
PY  - 2024
DA  - 2024/08/31
TI  - Extreme Climate and Agricultural Product Price Volatility: Empirical Evidence from the Futures Market
BT  - Proceedings of the 2024 3rd International Conference on Information Economy, Data Modelling and Cloud Computing (ICIDC 2024)
PB  - Atlantis Press
SP  - 126
EP  - 137
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-504-1_14
DO  - 10.2991/978-94-6463-504-1_14
ID  - Lian2024
ER  -