Spillovers and hedging between US equity sectors and gold, oil, islamic stocks and implied volatilities

被引:36
作者
Kang, Sang Hoon
Hernandez, Jose Arreola [5 ]
Rehman, Mobeen Ur [1 ,2 ]
Shahzad, Syed Jawad Hussain [3 ]
Yoon, Seong-Min [4 ,6 ]
机构
[1] Pusan Natl Univ, PNU Business Sch, Busan, South Korea
[2] Shaheed Zulfikar Ali Bhutto Inst Sci & Technol SZA, Islamabad, Pakistan
[3] South Ural State Univ, 76, Lenin Prospekt, Chelyabinsk, Russia
[4] Montpellier Business Sch, Montpellier, France
[5] Pusan Natl Univ, Dept Econ, Busan, South Korea
[6] Pusan Natl Univ, Dept Econ, 2,Busandaehak ro 63beon gil, Busan 46241, South Korea
基金
新加坡国家研究基金会;
关键词
US equity Sectors; Spillover; Hedging; Commodities; Stock market; Implied volatility; PRICE SHOCKS; CRUDE-OIL; NONLINEAR CAUSALITY; POLICY UNCERTAINTY; MARKET VOLATILITY; FINANCIAL CRISIS; TIME-SERIES; SAFE HAVENS; RETURNS; RISK;
D O I
10.1016/j.resourpol.2022.103286
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
We investigate the spillovers and hedging between US equity sector returns and oil, gold, Islamic stocks, and the implied volatilities of oil (OVX) and US stock market (VIX) based on spillover indexes and portfolio hedging methods. The spillover results indicate that the 30-day forward-looking market expectations of VIX most strongly influence all 10 US equity sectors' returns. The healthcare and information technology (real estate and utilities) sectors are the most (least) affected by VIX. The US Islamic market index is the highest spillover transmitter (receiver) to (from) US sectoral returns compared to gold, oil, and OVX. The highest transmitters to and receivers of spillover from all other sectors are the industrial, consumer discretionary, and basic materials sectors. The real estate and utilities are mainly net spillover receiver sectors. Finally, the portfolio hedging results show that gold, oil, and US Islamic stocks most effectively hedge the risk of the real estate equity sector. Gold also emerges as the most effective hedge for the financial sector.
引用
收藏
页数:13
相关论文
共 83 条
  • [1] Hedging emerging market stock prices with oil, gold, VIX, and bonds: A comparison between DCC, ADCC and GO-GARCH
    Abul Basher, Syed
    Sadorsky, Perry
    [J]. ENERGY ECONOMICS, 2016, 54 : 235 - 247
  • [2] Do Islamic stocks outperform conventional stock sectors during normal and crisis periods? Extreme co-movements and portfolio management analysis
    Al-Yahyaee, Khamis Hamed
    Mensi, Walid
    Rehman, Mobeen Ur
    Xuan Vinh Vo
    Kang, Sang Hoon
    [J]. PACIFIC-BASIN FINANCE JOURNAL, 2020, 62
  • [3] Co-movements and spillovers between prices of precious metals and non-ferrous metals: A multiscale analysis
    Al-Yahyaee, Khamis Hamed
    Rehman, Mobeen Ur
    Al-Jarrah, Idries Mohammad Wanas
    Mensi, Walid
    Xuan Vinh Vo
    [J]. RESOURCES POLICY, 2020, 67
  • [4] Alam N., 2016, Islamic finance, P105
  • [5] Oil volatility, oil and gas firms and portfolio diversification
    Antonakakis, Nikolaos
    Cunado, Juncal
    Filis, George
    Gabauer, David
    Perez de Gracia, Fernando
    [J]. ENERGY ECONOMICS, 2018, 70 : 499 - 515
  • [6] World gold prices and stock returns in China: Insights for hedging and diversification strategies
    Arouri, Mohamed El Hedi
    Lahiani, Amine
    Nguyen, Duc Khuong
    [J]. ECONOMIC MODELLING, 2015, 44 : 273 - 282
  • [7] Volatility spillovers between oil prices and stock sector returns: Implications for portfolio management
    Arouri, Mohamed El Hedi
    Jouini, Jamel
    Duc Khuong Nguyen
    [J]. JOURNAL OF INTERNATIONAL MONEY AND FINANCE, 2011, 30 (07) : 1387 - 1405
  • [8] Asymmetric impact of oil price on Islamic sectoral stocks
    Badeeb, Ramez Abubakr
    Lean, Hooi Hooi
    [J]. ENERGY ECONOMICS, 2018, 71 : 128 - 139
  • [9] Oil curse and finance-growth nexus in Malaysia: The role of investment
    Badeeb, Ramez Abubakr
    Lean, Hooi Hooi
    Smyth, Russell
    [J]. ENERGY ECONOMICS, 2016, 57 : 154 - 165
  • [10] On the effects of policy uncertainty on stock prices: an asymmetric analysis
    Bahmani-Oskooee, Mohsen
    Saha, Sujata
    [J]. QUANTITATIVE FINANCE AND ECONOMICS, 2019, 3 (02): : 412 - 424