Quantile connectedness among fintech, carbon future, and energy markets: Implications for hedging and investment strategies

被引:0
|
作者
Su, Xianfang [1 ,2 ,3 ]
He, Jian [1 ]
机构
[1] Guizhou Univ Finance & Econ, Sch Big Data Applicat & Econ, Guiyang, Peoples R China
[2] Guizhou Collaborat Innovat Ctr Green Finance & Eco, Guiyang, Peoples R China
[3] Guizhou Univ Finance & Econ, Lab Artificial Intelligence & Digital Finance, Guiyang, Peoples R China
关键词
Fintech; Carbon future; Energy; Quantile connectedness; Investment strategies; IMPULSE-RESPONSE ANALYSIS; VOLATILITY SPILLOVERS; CLEAN ENERGY; OIL PRICES; PORTFOLIO; PERFORMANCE; ECONOMIES; RETURNS; IMPACT; RISK;
D O I
10.1016/j.eneco.2024.107904
中图分类号
F [经济];
学科分类号
02 ;
摘要
This study proposes a novel framework to explore the quantile connectedness among fintech, carbon future, and energy markets with implications for hedging and investment strategies. We aim to construct portfolio strategies for extreme market conditions based on the results of quantile connectedness to address the complex price fluctuations in the energy markets. Using the daily data from January 4, 2017, to March 6, 2023, we find that (i) carbon future and crude oil are the net receivers, while fintech and clean energy are the net contributors. However, the net spillover direction of fintech, carbon futures, and energy markets change frequently under extreme market conditions; (ii) the COVID-19 pandemic and Russia-Ukraine conflict significantly enhance connectedness across all quantile levels; (iii) the sample period is dominated by the lower quantile connectedness, indicating that investors react more strongly to bad news. Furthermore, the result of portfolios shows that, compared to normal market conditions, the dynamic investment weights of minimum connectedness (MCOP) exhibit greater volatility under extreme market conditions. This highlights the differences in portfolio adjustments across different market conditions. In addition, the result shows that the minimum connectedness and minimum correlation portfolio have a greater cumulative return than the minimum variance portfolio. The analysis based on the Sharpe ratio shows that in extreme market conditions, carbon futures and fintech can serve as effective hedging tools for the energy markets. Robustness tests further confirmed our conclusions. Our results have positive implications for decision-makers and investors about risk management and diversified portfolio selection.
引用
收藏
页数:23
相关论文
共 50 条
  • [31] The dynamics of carbon on green energy equity investment: quantile-on-quantile and quantile coherency approaches
    Mo, Bin
    Li, Zhenghui
    Meng, Juan
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (04) : 5912 - 5922
  • [32] The dynamics of carbon on green energy equity investment: quantile-on-quantile and quantile coherency approaches
    Bin Mo
    Zhenghui Li
    Juan Meng
    [J]. Environmental Science and Pollution Research, 2022, 29 : 5912 - 5922
  • [33] The nexus between ReFi, carbon, fossil energy, and clean energy assets: Quantile time-frequency connectedness and portfolio implications
    Lei, Heng
    Xue, Minggao
    Ye, Jing
    [J]. ENERGY ECONOMICS, 2024, 132
  • [34] Do clean energy stocks diversify the risk of FinTech stocks? Connectedness and portfolio implications
    Henriques, Irene
    Sadorsky, Perry
    [J]. GLOBAL FINANCE JOURNAL, 2024, 62
  • [35] Information spillover and market connectedness: multi-scale quantile-on-quantile analysis of the crude oil and carbon markets
    Ren, Xiaohang
    Dou, Yue
    Dong, Kangyin
    Li, Yiying
    [J]. APPLIED ECONOMICS, 2022, 54 (38) : 4465 - 4485
  • [36] Dynamic Connectedness Among Oil, Food Commodity, and Renewable Energy Markets: Novel Perspective from Quantile Dependence and Deep Learning
    Deng, Yaoxun
    Fang, Guobin
    Zhang, Jun
    Ma, Huimin
    [J]. JOURNAL OF THE KNOWLEDGE ECONOMY, 2023,
  • [37] Hedging strategies among financial markets: the case of green and brown assets
    Ibrahim D. Raheem
    Oluyele Akinkugbe
    Agboola H. Yusuf
    Mahdi Ghaemi Asl
    [J]. Empirical Economics, 2023, 65 : 831 - 873
  • [38] Hedging strategies among financial markets: the case of green and brown assets
    Raheem, Ibrahim D.
    Akinkugbe, Oluyele
    Yusuf, Agboola H.
    Asl, Mahdi Ghaemi
    [J]. EMPIRICAL ECONOMICS, 2023, 65 (02) : 831 - 873
  • [39] Dynamic connectedness between China green bond, carbon market and traditional financial markets: Evidence from quantile connectedness approach
    Zhang, He
    Gong, Zhenting
    Yang, Yunglieh
    Chen, Fan
    [J]. FINANCE RESEARCH LETTERS, 2023, 58
  • [40] Quantile connectedness between China's new energy market and other key financial markets
    Shi, Feng
    Xiong, Hongjun
    Ji, Ming
    [J]. APPLIED ECONOMICS, 2024,