Risk-Return Profiles of Islamic Equities and Commodity Portfolios in Different Market Conditions

被引:8
|
作者
Kabir, Sarkar Humayun [1 ]
Masih, A. Mansur M. [2 ]
Bacha, Obiyathulla Ismath [2 ]
机构
[1] Coventry Univ, Sch Econ Finance & Accounting, William Morris Bldg,Gosford St, Coventry CV1 5DL, W Midlands, England
[2] Global Univ Islamic Finance, INCEIF, Kuala Lumpur, Malaysia
关键词
diversification; dynamic conditional correlation; Markowitz portfolio optimization; Sharpe ratio; unconditional correlation; volatility; DIVERSIFICATION BENEFITS; CAPITAL-MARKET; PRICE DYNAMICS; OPTIMIZATION; PERFORMANCE; INVESTORS; FINANCE;
D O I
10.1080/1540496X.2016.1216843
中图分类号
F [经济];
学科分类号
02 ;
摘要
Motivated by the recent phenomenal growth in Islamic finance and the financialization of commodities, this study makes an initial attempt to investigate the risk-return profiles of optimized portfolios combining (a) Islamic equities with commodities and (b) conventional equities with commodities during the crises and noncrises periods. The findings tend to indicate that Islamic equity-commodity portfolios provide relatively higher diversification benefits than the conventional equity-commodity portfolios during the 1997 Asian Financial Crisis triggered by the financial sector compared to the 2008 global financial crisis triggered by the real housing sector. The findings further suggest that except for a few cases, commodities in general and gold in particular improve diversification benefits.
引用
收藏
页码:1477 / 1500
页数:24
相关论文
共 50 条
  • [31] DeepTrader: A Deep Reinforcement Learning Approach for Risk-Return Balanced Portfolio Management with Market Conditions Embedding
    Wang, Zhicheng
    Huang, Biwei
    Tu, Shikui
    Zhang, Kun
    Xu, Lei
    THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2021, 35 : 643 - 650
  • [32] How does the underlying affect the risk-return profiles of structured products?
    Cao J.
    Financial Markets and Portfolio Management, 2017, 31 (1) : 27 - 47
  • [33] EMPIRICAL STUDY OF RISK-RETURN HYPOTHESIS USING COMMON STOCK PORTFOLIOS OF LIFE INSURANCE COMPANIES
    GENTRY, J
    PIKE, J
    JOURNAL OF FINANCIAL AND QUANTITATIVE ANALYSIS, 1970, 5 (02) : 179 - 185
  • [34] Forecasting Volatility and the Risk-Return Tradeoff: An Application on the Fama-French Benchmark Market Return
    Vafiadis, Nikolaos
    JOURNAL OF TIME SERIES ECONOMETRICS, 2015, 7 (02) : 181 - 216
  • [35] Investor sentiment and the Chinese new energy stock market: A risk-return perspective
    Shen, Yiran
    Liu, Chang
    Sun, Xiaolei
    Guo, Kun
    INTERNATIONAL REVIEW OF ECONOMICS & FINANCE, 2023, 84 : 395 - 408
  • [36] Risk-Return Trade-off and Volatility Characteristics in the Indian Stock Market
    Tamilselvan, Manickam
    Palamalai, Srinivasan
    Kumar, Magesh
    Aswathaman, Jayakumar
    Veerabhadrappa, Manjula
    TEM JOURNAL-TECHNOLOGY EDUCATION MANAGEMENT INFORMATICS, 2022, 11 (01): : 307 - 315
  • [37] An Empirical Study on Risk-return Trade-off in China Stock Market
    Bian Shibo
    ADVANCES IN MANAGEMENT OF TECHNOLOGY, PT 2, 2009, : 234 - 238
  • [38] ESTIMATING THE RISK-RETURN TRADEOFF IN AGRIBUSINESS STOCKS: LINKAGES WITH THE BROADER STOCK MARKET
    Dorfman, Jeffrey H.
    Park, Myung D.
    AMERICAN JOURNAL OF AGRICULTURAL ECONOMICS, 2011, 93 (02) : 426 - 433
  • [39] The impact of oil price shocks on the risk-return relation in the Chinese stock market
    Wen, Fenghua
    Zhang, Minzhi
    Xiao, Jihong
    Yue, Wei
    FINANCE RESEARCH LETTERS, 2022, 47
  • [40] Risk-Return Convergence in CEE Stock Markets: Structural Breaks and Market Volatility
    Lyocsa, Stefan
    Baumoehl, Eduard
    FINANCE A UVER-CZECH JOURNAL OF ECONOMICS AND FINANCE, 2014, 64 (05): : 352 - 373