Risk contagion between global commodity and financial markets based on two-layer networks and SIS model

被引:0
作者
An, Yulian [1 ]
Wang, Yi [1 ]
机构
[1] Shanghai Int Studies Univ, Sch Econ & Finance, 1550 Wenxiang Rd, Shanghai 201620, Peoples R China
来源
ADVANCES IN CONTINUOUS AND DISCRETE MODELS | 2025年 / 2025卷 / 01期
基金
中国国家自然科学基金;
关键词
Risk contagion; Financial markets; Commodity markets; Multi-layer networks; SIS model; REPRODUCTION NUMBERS; SYSTEMIC RISK; VOLATILITY; DYNAMICS;
D O I
10.1186/s13662-025-03890-3
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
With the deepening of commodity financialization, the risk linkage between global commodity markets and financial markets becomes more complex. In this paper, we investigate the risk interconnections between global financial markets and commodity markets in the context of commodity financialization, as well as the dynamic infectious process. To describe and analyze the risk contagion process between the two markets, we construct a two-layer spillover network for the mixed markets. Based on the network, we analyze the static average spillover risk and the dynamic spillover risk of different countries and commodities. Moreover, we propose an SIS epidemic model to discuss the dynamic contagion procession of spillover risk in the system. By focusing on five extreme events, we find that the basic reproduction number is great than 1 at all stages and has obvious change before and after these events. In this model, the cross-contagion rate parameters between two markets can be positive or negative, indicating that the spillover risks between financial markets and commodity markets can both infect and hedge each other. This reflects the unique nature of financial risk contagion.
引用
收藏
页数:29
相关论文
共 49 条
[41]   A model-based index for systemic risk contribution measurement in financial networks [J].
Deng, Yang ;
Zhang, Ziqing ;
Zhu, Li .
ECONOMIC MODELLING, 2021, 95 :35-48
[42]   The Risk Contagion between Chinese and Mature Stock Markets: Evidence from a Markov-Switching Mixed-Clayton Copula Model [J].
Niu, Hongli ;
Xu, Kunliang ;
Xiong, Mengyuan .
ENTROPY, 2023, 25 (04)
[43]   A collective motion model based on two-layer relationship mechanism for bi-direction pedestrian flow simulation [J].
Qin, Xin ;
Liu, Hong ;
Zhang, Hao ;
Liu, Baoxi .
SIMULATION MODELLING PRACTICE AND THEORY, 2018, 84 :268-285
[44]   Information flow between global financial market stress and African equity markets: An EEMD-based transfer entropy analysis [J].
Armah, Mohammed ;
Bossman, Ahmed ;
Amewu, Godfred .
HELIYON, 2023, 9 (03)
[45]   Network measurement and influence mechanism of dynamic risk contagion among global stock markets: Based on time-varying spillover index and complex network method [J].
Yu, Bo ;
Ouyang, Haiqin ;
Guan, Chao ;
Lin, Binzhao .
NORTH AMERICAN JOURNAL OF ECONOMICS AND FINANCE, 2024, 74
[46]   Global financial crisis and co-movements between oil prices and sector stock markets in Saudi Arabia: A VaR based wavelet [J].
Mensi, Walid .
BORSA ISTANBUL REVIEW, 2019, 19 (01) :24-38
[47]   Systemic Risk Analysis of Multi-Layer Financial Network System Based on Multiple Interconnections between Banks, Firms, and Assets [J].
Gao, Qianqian .
ENTROPY, 2022, 24 (09)
[48]   Early warning of systemic risk in global banking: eigen-pair R number for financial contagion and market price-based methods (Jun, 10.1007/s10479-021-04120-1, 2021) [J].
Markose, Sheri ;
Giansante, Simone ;
Eterovic, Nicolas A. ;
Gatkowski, Mateusz .
ANNALS OF OPERATIONS RESEARCH, 2023, 330 (1-2) :841-841
[49]   Bridging the gap between micro-economics and micro-mobility: A two-dimensional risk-based microscopic model of pedestrians' and bicyclists' operational behaviors [J].
Haque, Mohaiminul ;
Hamdar, Samer H. ;
Talebpour, Alireza .
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2024, 189