Forecasting Islamic equity indices alpha

被引:2
作者
Anjum, Nadia [1 ]
Rajput, Suresh Kumar Oad [1 ]
机构
[1] Sukkur IBA Univ, Dept Business Adm, Sukkur, Pakistan
关键词
Alpha; Asset allocation; Islamic equity indexes; Pricing factors; Rolling window regression; G11; G12; MUTUAL FUND PERFORMANCE; EMPIRICAL-EVIDENCE; CROSS-SECTION; RETURNS; SHARIAH; STOCKS; EQUILIBRIUM; RISK;
D O I
10.1108/IMEFM-02-2019-0068
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
Purpose This paper aims to investigate whether Islamic and conventional equity indices offer some alpha. These indices are expected to offer no alpha being value-weighted, passive and unmanaged. Design/methodology/approach This paper used monthly data from 1996 to 2016 of four Dow Jones (DJ) and one financial times stock exchange (FTSE) Islamic equity indices and five conventional Morgan Stanley Capital International (MSCI) equity indices. This study used a simple ordinary least square (OLS) rolling window regressions to generate the alphas and risk loadings when adjusting for prominent pricing factor models. Findings The findings from OLS regressions suggest that DJ Islamic indices of Japan, Europe and World generate significant alphas, whereas, MSCI conventional indices of Asia/Pacific, USA and World generate significant alpha when risk-adjusted for pricing factor models. However, in 36-month rolling window regressions, all Islamic indices generate significant alpha and factor loading. The magnitude of alpha and factor loading changes over time. Research limitations/implications The finding shows that the Shari'ah-compliant investment fund's alpha must be adjusted with the respective benchmark index alpha to measure the fund manager's skill performance quantitatively. Originality/value To the best of the author's knowledge, this is the first study that investigates and compares the Islamic, as well as conventional indices for abnormal returns, which are adjusted for both Fama-French five and q-theory-based four assets pricing risk factors and as a benchmark for Shari'ah-compliant fund's performance.
引用
收藏
页码:183 / 203
页数:21
相关论文
共 50 条
  • [41] Spillovers and hedging between US equity sectors and gold, oil, islamic stocks and implied volatilities
    Kang, Sang Hoon
    Hernandez, Jose Arreola
    Rehman, Mobeen Ur
    Shahzad, Syed Jawad Hussain
    Yoon, Seong-Min
    RESOURCES POLICY, 2023, 81
  • [42] HAS THE LONG-TERM REVERSAL REVERSED? EVIDENCE FROM COUNTRY EQUITY INDICES
    Zaremba, Adam
    ROMANIAN JOURNAL OF ECONOMIC FORECASTING, 2016, 19 (01): : 88 - 103
  • [43] A comparative study of the returns on Mudharabah deposit and on equity in Islamic banks
    Diaw, Abdou
    Mbow, Abdoulaye
    HUMANOMICS, 2011, 27 (04) : 229 - 242
  • [44] Commodity Volatility Indices and Select Asian Equity markets
    Siddiqui, Saif
    Kaur, Rajbeer
    PACIFIC BUSINESS REVIEW INTERNATIONAL, 2021, 13 (12): : 83 - 97
  • [45] Geopolitical Risks and Movements in Islamic Bond and Equity Markets: A Note
    Bouri, Elie
    Demirer, Riza
    Gupta, Rangan
    Marfatia, Hardik A.
    DEFENCE AND PEACE ECONOMICS, 2019, 30 (03) : 367 - 379
  • [46] Recovery with Applications to Forecasting Equity Disaster Probability and Testing the Spanning Hypothesis in the Treasury Market
    Bakshi, Gurdip
    Gao, Xiaohui
    Xue, Jinming
    JOURNAL OF FINANCIAL AND QUANTITATIVE ANALYSIS, 2023, 58 (04) : 1808 - 1842
  • [47] Risk and Return of Islamic and Conventional Indices on the Indonesia Stock Exchange
    Suryadi, Suryadi
    Endri, Endri
    Yasid, Mukhamad
    JOURNAL OF ASIAN FINANCE ECONOMICS AND BUSINESS, 2021, 8 (03): : 23 - 30
  • [48] The Size Anomaly in Islamic Stock Indices: A Stochastic Dominance Approach
    AlKhazali, Osamah
    Lean, Hooi Hooi
    Zoubi, Taisier
    INTERNATIONAL JOURNAL OF FINANCIAL STUDIES, 2022, 10 (04):
  • [49] Forecasting Equity Premium in the Face of Climate Policy Uncertainty
    Ali, Hyder
    Naz, Salma
    JOURNAL OF FORECASTING, 2025, 44 (02) : 513 - 546
  • [50] Investor Sentiment and Paradigm Shifts in Equity Return Forecasting
    Chu, Liya
    He, Xue-Zhong
    Li, Kai
    Tu, Jun
    MANAGEMENT SCIENCE, 2022, 68 (06) : 4301 - 4325