Do Green Bonds Affect Extreme Spillover and Hedging Effects Across Stocks and Commodities?

被引:0
|
作者
Mezghani, Taicir [1 ]
Ben Hamadou, Fatma [1 ]
Boujelbene, Mouna [1 ]
Boutouria, Souha [1 ,2 ]
机构
[1] Univ Sfax, Fac Econ & Management Sfax, Sfax, Tunisia
[2] Higher Inst Business Adm Sfax, Lab LEG, Sfax, Tunisia
关键词
Green bonds; extreme connectedness network; hedging effectiveness; G15; G23; G01; DYNAMIC CONDITIONAL CORRELATION; IMPULSE-RESPONSE ANALYSIS; CONNECTEDNESS; MODEL; GOLD; OIL;
D O I
10.1080/13571516.2024.2336648
中图分类号
F [经济];
学科分类号
02 ;
摘要
This study investigates the extreme connectedness network among Green bonds, stocks and commodities and its implications for portfolio diversification during the turbulent periods. To this end, we implement the novel QVAR methodology by Ando, Greenwood-Nimmo, and Shin to study the connectedness at the median, extreme lower, and extreme upper quantiles. The results reveal dynamic spillovers among markets. Interestingly, static spillover effects are stronger for the extreme upper and lower quantiles than for the intermediate quantiles. Commodities are the major net transmitters, whereas Shanghai Stock Exchange green bond is the net receiver of shocks in the system. These results are supported by the findings of portfolio management analyses, which suggest that Green bonds and gold could function as potential diversification assets, serving as safe havens, particularly for the stock and Brent markets. Our study provides valuable insights for investors aiming to optimize their hedging strategies, guiding risk management, and portfolio diversification.
引用
收藏
页码:103 / 130
页数:28
相关论文
共 38 条
  • [11] Volatility transmission and hedging strategies across green and conventional stocks in global markets
    Karkowska, Renata
    Urjasz, Szczepan
    INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS, 2024, 96
  • [12] Asymmetric relationship between green bonds and commodities: Evidence from extreme quantile approach
    Naeem, Muhammad Abubakr
    Thi Thu Ha Nguyen
    Nepal, Rabindra
    Quang-Thanh Ngo
    Taghizadeh-Hesary, Farhad
    FINANCE RESEARCH LETTERS, 2021, 43
  • [13] Multivariate dependence and spillover effects across energy commodities and diversification potentials of carbon assets
    Uddin, Gazi Salah
    Hernandez, Jose Areola
    Shahzad, Syed Jawad Hussain
    Hedstrom, Axel
    ENERGY ECONOMICS, 2018, 71 : 35 - 46
  • [14] Connectedness across commodities, stocks, exchange rates and bonds markets in Africa: the Covid-19 pandemic case
    Boakye, Robert Owusu
    Mensah, Lord
    Kang, Sanghoon
    Osei, Kofi
    INTERNATIONAL JOURNAL OF EMERGING MARKETS, 2024,
  • [15] Do green bonds de-risk investment in low-carbon stocks?
    Reboredo, Juan C.
    Ugolini, Andrea
    Ojea-Ferreiro, Javier
    ECONOMIC MODELLING, 2022, 108
  • [16] Dynamic spillover effects among green bond, renewable energy stocks and carbon markets during COVID-19 pandemic: Implications for hedging and investments strategies
    Tiwari, Aviral Kumar
    Abakah, Emmanuel Joel Aikins
    Gabauer, David
    Dwumfour, Richard Adjei
    GLOBAL FINANCE JOURNAL, 2022, 51
  • [17] How do green bonds affect green technology innovation? Firm evidence from China
    Lin, Tao
    Du, Mingyue
    Ren, Siyu
    GREEN FINANCE, 2022, 4 (04): : 492 - 511
  • [18] Interrelation and spillover effects between stocks and bonds: cross-market and cross-asset evidence
    McMillan, David G.
    STUDIES IN ECONOMICS AND FINANCE, 2020, 37 (03) : 561 - 582
  • [19] Do bond attributes affect green bond yield? Evidence from Indian green bonds
    Abhilash, Abhilash
    Shenoy, Sandeep S.
    Shetty, Dasharathraj K.
    Kamath, Aditi N.
    ENVIRONMENTAL ECONOMICS, 2023, 14 (02) : 60 - 68
  • [20] Volatility spillover effects and risk assessment of Indian green stocks: a DCC-GARCH analysis
    Peer, Ubaid Ahmad
    Katoch, Rupinder
    Sidhu, Arpit
    JOURNAL OF ENERGY MARKETS, 2023, 16 (04) : 49 - 71