IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/56965.html
   My bibliography  Save this paper

Combining Momentum, Value, and Quality for the Islamic Equity Portfolio: Multi-style Rotation Strategies using Augmented Black Litterman Factor Model

Author

Listed:
  • Dewandaru, Ginanjar
  • Masih, Rumi
  • Bacha, Obiyathulla
  • Masih, A. Mansur M.

Abstract

This study constructs active Islamic portfolios using a multi-style rotation strategy, derived from the three prominent styles, namely, momentum, value, and quality investing. We use the stocks that are consistently listed in the U.S. Dow Jones Islamic index for a sample period from 1996 to 2012. We also include two macroeconomic mimicking portfolios to capture the premiums of industrial production growth and inflation innovation, accommodating the economic regime shifts. Based on the information coefficients, we find the six-month momentum and the fractal measure as momentum factors; the enterprise yield (gross profit/TEV) and the book to market ratio as valuation factors; the gross profit to total assets, the return on capital, and the scaled total accruals as quality factors. We further construct active portfolios using the augmented Black Litterman (ABL) factor model to avoid the factor alignment problem, with the factor views predicted using Markov Switching VAR, MIDAS, and Bayesian Model Averaging. The out-of-sample performance of our portfolios can produce information ratios of 0.7 – 0.8 over the composite indices, and information ratios of 0.42 – 0.48 over the style indices, with the annualized alphas of 10 – 11%. Even when we put the constrained tracking error of 1% over the benchmark, our portfolios still produce information ratios of 0.9 – 1.2 before transaction costs, and 0.6 – 0.8 after transaction costs. We provide intuitive explanations for each premium changing over time, and suggest the promising strategy for Islamic equity investors to outperform the market.

Suggested Citation

  • Dewandaru, Ginanjar & Masih, Rumi & Bacha, Obiyathulla & Masih, A. Mansur M., 2014. "Combining Momentum, Value, and Quality for the Islamic Equity Portfolio: Multi-style Rotation Strategies using Augmented Black Litterman Factor Model," MPRA Paper 56965, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:56965
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/56965/1/MPRA_paper_56965.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Ritter, Jay R., 2005. "Economic growth and equity returns," Pacific-Basin Finance Journal, Elsevier, vol. 13(5), pages 489-503, November.
    2. Basu, Sanjoy, 1983. "The relationship between earnings' yield, market value and return for NYSE common stocks : Further evidence," Journal of Financial Economics, Elsevier, vol. 12(1), pages 129-156, June.
    3. Koijen, Ralph S.J. & Lustig, Hanno & Van Nieuwerburgh, Stijn, 2017. "The cross-section and time series of stock and bond returns," Journal of Monetary Economics, Elsevier, vol. 88(C), pages 50-69.
    4. Richardson, Scott A. & Sloan, Richard G. & Soliman, Mark T. & Tuna, Irem, 2005. "Accrual reliability, earnings persistence and stock prices," Journal of Accounting and Economics, Elsevier, vol. 39(3), pages 437-485, September.
    5. Rumi Masih & A. Mansur M. Masih & Kilian Mie, 2010. "Model uncertainty and asset return predictability: an application of Bayesian model averaging," Applied Economics, Taylor & Francis Journals, vol. 42(15), pages 1963-1972.
    6. Guidolin, Massimo & Timmermann, Allan, 2007. "Asset allocation under multivariate regime switching," Journal of Economic Dynamics and Control, Elsevier, vol. 31(11), pages 3503-3544, November.
    7. Kroencke, Tim A. & Schindler, Felix & Sebastian, Steffen & Theissen, Erik, 2013. "GDP mimicking portfolios and the cross-section of stock returns," ZEW Discussion Papers 13-026, ZEW - Leibniz Centre for European Economic Research.
    8. Boons, Martijn & Duarte, Fernando & de Roon, Frans & Szymanowska, Marta, 2020. "Time-varying inflation risk and stock returns," Journal of Financial Economics, Elsevier, vol. 136(2), pages 444-470.
    9. Dimitri Vayanos & Paul Woolley, 2013. "An Institutional Theory of Momentum and Reversal," Review of Financial Studies, Society for Financial Studies, vol. 26(5), pages 1087-1145.
    10. Kamil, Nazrol K.M. & Alhabshi, Syed O. & Bacha, Obiyathulla I. & Masih, Mansur, 2014. "Heads we win, tails you lose: Is there equity in Islamic equity funds?," Pacific-Basin Finance Journal, Elsevier, vol. 28(C), pages 7-28.
    11. Carmen Fernandez & Eduardo Ley & Mark F. J. Steel, 2001. "Model uncertainty in cross-country growth regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(5), pages 563-576.
    12. I-Cheng Yeh & Tzu-Kuang Hsu, 2011. "Growth Value Two-Factor Model," Journal of Asset Management, Palgrave Macmillan, vol. 11(6), pages 435-451, February.
    13. Fama, Eugene F, 1991. "Efficient Capital Markets: II," Journal of Finance, American Finance Association, vol. 46(5), pages 1575-1617, December.
    14. Kim, Jae H. & Ryoo, Heajin H., 2011. "Common stocks as a hedge against inflation: Evidence from century-long US data," Economics Letters, Elsevier, vol. 113(2), pages 168-171.
    15. Nam, Joong-soo & Branch, Ben, 1994. "Tactical Asset Allocation: Can It Work?," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 17(4), pages 465-479, Winter.
    16. Papanastasopoulos, Georgios & Thomakos, Dimitrios & Wang, Tao, 2011. "Information in balance sheets for future stock returns: Evidence from net operating assets," International Review of Financial Analysis, Elsevier, vol. 20(5), pages 269-282.
    17. Cakici, Nusret & Fabozzi, Frank J. & Tan, Sinan, 2013. "Size, value, and momentum in emerging market stock returns," Emerging Markets Review, Elsevier, vol. 16(C), pages 46-65.
    18. Clifford S. Asness & Tobias J. Moskowitz & Lasse Heje Pedersen, 2013. "Value and Momentum Everywhere," Journal of Finance, American Finance Association, vol. 68(3), pages 929-985, June.
    19. Joseph D. Piotroski & Eric C. So, 2012. "Identifying Expectation Errors in Value/Glamour Strategies: A Fundamental Analysis Approach," Review of Financial Studies, Society for Financial Studies, vol. 25(9), pages 2841-2875.
    20. Basu, S, 1977. "Investment Performance of Common Stocks in Relation to Their Price-Earnings Ratios: A Test of the Efficient Market Hypothesis," Journal of Finance, American Finance Association, vol. 32(3), pages 663-682, June.
    21. Fama, Eugene F & MacBeth, James D, 1973. "Risk, Return, and Equilibrium: Empirical Tests," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 607-636, May-June.
    22. Kantelhardt, Jan W. & Zschiegner, Stephan A. & Koscielny-Bunde, Eva & Havlin, Shlomo & Bunde, Armin & Stanley, H.Eugene, 2002. "Multifractal detrended fluctuation analysis of nonstationary time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 316(1), pages 87-114.
    23. Fama, Eugene F & French, Kenneth R, 1996. "Multifactor Explanations of Asset Pricing Anomalies," Journal of Finance, American Finance Association, vol. 51(1), pages 55-84, March.
    24. Narasimhan Jegadeesh & Sheridan Titman, 2001. "Profitability of Momentum Strategies: An Evaluation of Alternative Explanations," Journal of Finance, American Finance Association, vol. 56(2), pages 699-720, April.
    25. Lakonishok, Josef & Shleifer, Andrei & Vishny, Robert W, 1994. "Contrarian Investment, Extrapolation, and Risk," Journal of Finance, American Finance Association, vol. 49(5), pages 1541-1578, December.
    26. Ball, Ray, 1978. "Anomalies in relationships between securities' yields and yield-surrogates," Journal of Financial Economics, Elsevier, vol. 6(2-3), pages 103-126.
    27. Jegadeesh, Narasimhan & Titman, Sheridan, 1993. "Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency," Journal of Finance, American Finance Association, vol. 48(1), pages 65-91, March.
    28. Bala G Arshanapalli & Lorne N Switzer & Karim Panju, 2007. "Equity-style timing: A multi-style rotation model for the Russell large-cap and small-cap growth and value style indexes," Journal of Asset Management, Palgrave Macmillan, vol. 8(1), pages 9-23, May.
    29. David Rey & Markus Schmid, 2007. "Feasible momentum strategies: Evidence from the Swiss stock market," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 21(3), pages 325-352, September.
    30. Fama, Eugene F & French, Kenneth R, 1992. "The Cross-Section of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 47(2), pages 427-465, June.
    31. Wing Cheung, 2013. "The augmented Black--Litterman model: a ranking-free approach to factor-based portfolio construction and beyond," Quantitative Finance, Taylor & Francis Journals, vol. 13(2), pages 301-316, January.
    32. Guidolin, Massimo & Hyde, Stuart, 2012. "Can VAR models capture regime shifts in asset returns? A long-horizon strategic asset allocation perspective," Journal of Banking & Finance, Elsevier, vol. 36(3), pages 695-716.
    33. Andreas G.F. Hoepner & Hussain G. Rammal & Michael Rezec, 2011. "Islamic mutual funds’ financial performance and international investment style: evidence from 20 countries," The European Journal of Finance, Taylor & Francis Journals, vol. 17(9-10), pages 829-850, November.
    34. Joong-soo Nam & Ben Branch, 1994. "Tactical Asset Allocation: Can It Work?," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 17(4), pages 465-479, December.
    35. Ludvigson, Sydney C., 2013. "Advances in Consumption-Based Asset Pricing: Empirical Tests," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 799-906, Elsevier.
    36. Bossaerts, Peter & Hillion, Pierre, 1999. "Implementing Statistical Criteria to Select Return Forecasting Models: What Do We Learn?," Review of Financial Studies, Society for Financial Studies, vol. 12(2), pages 405-428.
    37. Ghysels, Eric & Santa-Clara, Pedro & Valkanov, Rossen, 2006. "Predicting volatility: getting the most out of return data sampled at different frequencies," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 59-95.
    38. Piotroski, JD, 2000. "Value investing: The use of historical financial statement information to separate winners from losers," Journal of Accounting Research, Wiley Blackwell, vol. 38, pages 1-41.
    39. Ghysels, Eric & Wright, Jonathan H., 2009. "Forecasting Professional Forecasters," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(4), pages 504-516.
    40. Cochrane, John H, 1996. "A Cross-Sectional Test of an Investment-Based Asset Pricing Model," Journal of Political Economy, University of Chicago Press, vol. 104(3), pages 572-621, June.
    41. Qing Li & Maria Vassalou & Yuhang Xing, 2006. "Sector Investment Growth Rates and the Cross Section of Equity Returns," The Journal of Business, University of Chicago Press, vol. 79(3), pages 1637-1665, May.
    42. Motohiro Yogo, 2006. "A Consumption‐Based Explanation of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 61(2), pages 539-580, April.
    43. Lucas, Andre & van Dijk, Ronald & Kloek, Teun, 2002. "Stock selection, style rotation, and risk," Journal of Empirical Finance, Elsevier, vol. 9(1), pages 1-34, January.
    44. Ron Bird & Lorenzo Casavecchia, 2007. "Value enhancement using momentum indicators: the European experience," International Journal of Managerial Finance, Emerald Group Publishing Limited, vol. 3(3), pages 229-262, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. El Mehdi, Imen Khanchel & Mghaieth, Asma, 2017. "Volatility spillover and hedging strategies between Islamic and conventional stocks in the presence of asymmetry and long memory," Research in International Business and Finance, Elsevier, vol. 39(PA), pages 595-611.
    2. Nafis Alam & Shaista Arshad & Syed Aun R. Rizvi, 2016. "Do Islamic stock indices perform better than conventional counterparts? An empirical investigation of sectoral efficiency," Review of Financial Economics, John Wiley & Sons, vol. 31(1), pages 108-114, November.
    3. I-Cheng Yeh, 2023. "Synergy frontier of multi-factor stock selection model," OPSEARCH, Springer;Operational Research Society of India, vol. 60(1), pages 445-480, March.
    4. Ahmed Hassanein & Mohamed M. Mostafa, 2023. "Bibliometric network analysis of thirty years of islamic banking and finance scholarly research," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(3), pages 1961-1989, June.
    5. Khan, Abdullah & Rizvi, Syed Aun R. & Ali, Mohsin & Haroon, Omair, 2021. "A survey of Islamic finance research – Influences and influencers," Pacific-Basin Finance Journal, Elsevier, vol. 69(C).
    6. Dewandaru, Ginanjar & Masih, Rumi & Bacha, Obiyathulla Ismath & Masih, A. Mansur. M., 2015. "Developing trading strategies based on fractal finance: An application of MF-DFA in the context of Islamic equities," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 438(C), pages 223-235.
    7. Rania Makni & Olfa Benouda & Ezzedine Delhoumi, 2016. "International evidence on Islamic equity fund characteristics and performance persistence," Review of Financial Economics, John Wiley & Sons, vol. 31(1), pages 75-82, November.
    8. Rizvi, Syed Aun R. & Arshad, Shaista & Alam, Nafis, 2018. "A tripartite inquiry into volatility-efficiency-integration nexus - case of emerging markets," Emerging Markets Review, Elsevier, vol. 34(C), pages 143-161.
    9. Bob Li & Mong Shan Ee & Mamunur Rashid, 2016. "Is momentum trading profitable from Shari'ah compliant stocks?," Review of Financial Economics, John Wiley & Sons, vol. 31(1), pages 56-63, November.
    10. Makni, Rania & Benouda, Olfa & Delhoumi, Ezzedine, 2016. "International evidence on Islamic equity fund characteristics and performance persistence," Review of Financial Economics, Elsevier, vol. 31(C), pages 75-82.
    11. Li, Bob & Ee, Mong Shan & Rashid, Mamunur, 2016. "Is momentum trading profitable from Shari'ah compliant stocks?," Review of Financial Economics, Elsevier, vol. 31(C), pages 56-63.
    12. Zaremba, Adam & Karathanasopoulos, Andreas & Maydybura, Alina & Czapkiewicz, Anna & Bagheri, Noushin, 2020. "Dissecting anomalies in Islamic stocks: Integrated or segmented pricing?," Pacific-Basin Finance Journal, Elsevier, vol. 62(C).
    13. Oscar V. De la Torre-Torres & Evaristo Galeana-Figueroa & María de la Cruz Del Río-Rama & José Álvarez-García, 2022. "Using Markov-Switching Models in US Stocks Optimal Portfolio Selection in a Black–Litterman Context (Part 1)," Mathematics, MDPI, vol. 10(8), pages 1-28, April.
    14. Nattapong Laksomya & John G. Powell & Suparatana Tanthanongsakkun & Sirimon Treepongkaruna, 2018. "Are Internet message boards used to facilitate stock price manipulation? Evidence from an emerging market, Thailand," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(S1), pages 275-309, November.
    15. Ibrahim, Mansor H., 2015. "Issues in Islamic banking and finance: Islamic banks, Shari’ah-compliant investment and sukuk," Pacific-Basin Finance Journal, Elsevier, vol. 34(C), pages 185-191.
    16. Shahrin Saaid Shaharuddin & Wee-Yeap Lau & Rubi Ahmad, 2017. "New Islamic equity style indices: Constructing and testing the efficacy of information transmission," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1363355-136, January.
    17. Narayan, Paresh Kumar & Phan, Dinh Hoang Bach, 2019. "A survey of Islamic banking and finance literature: Issues, challenges and future directions," Pacific-Basin Finance Journal, Elsevier, vol. 53(C), pages 484-496.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Eero Pätäri & Timo Leivo, 2017. "A Closer Look At Value Premium: Literature Review And Synthesis," Journal of Economic Surveys, Wiley Blackwell, vol. 31(1), pages 79-168, February.
    2. Stephen A. Gorman & Frank J. Fabozzi, 2021. "The ABC’s of the alternative risk premium: academic roots," Journal of Asset Management, Palgrave Macmillan, vol. 22(6), pages 405-436, October.
    3. Adam Zaremba & Jacob Koby Shemer, 2018. "Price-Based Investment Strategies," Springer Books, Springer, number 978-3-319-91530-2, November.
    4. Lu Zhang, 2017. "The Investment CAPM," European Financial Management, European Financial Management Association, vol. 23(4), pages 545-603, September.
    5. Fernando Rubio, 2005. "Eficiencia De Mercado, Administracion De Carteras De Fondos Y Behavioural Finance," Finance 0503028, University Library of Munich, Germany, revised 23 Jul 2005.
    6. Committee, Nobel Prize, 2013. "Understanding Asset Prices," Nobel Prize in Economics documents 2013-1, Nobel Prize Committee.
    7. Amit Goyal, 2012. "Empirical cross-sectional asset pricing: a survey," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 26(1), pages 3-38, March.
    8. David Hirshleifer, 2001. "Investor Psychology and Asset Pricing," Journal of Finance, American Finance Association, vol. 56(4), pages 1533-1597, August.
    9. Waszczuk, Antonina, 2013. "A risk-based explanation of return patterns—Evidence from the Polish stock market," Emerging Markets Review, Elsevier, vol. 15(C), pages 186-210.
    10. Nettayanun, Sampan, 2023. "Asset pricing in bull and bear markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 83(C).
    11. Guo, Hui, 2006. "Time-varying risk premia and the cross section of stock returns," Journal of Banking & Finance, Elsevier, vol. 30(7), pages 2087-2107, July.
    12. Juhani T. Linnainmaa & Michael R. Roberts, 2016. "The History of the Cross Section of Stock Returns," NBER Working Papers 22894, National Bureau of Economic Research, Inc.
    13. Gabriel Hawawini & Donald B. Keim, "undated". "The Cross Section of Common Stock Returns: A Review of the Evidence and Some New Findings," Rodney L. White Center for Financial Research Working Papers 08-99, Wharton School Rodney L. White Center for Financial Research.
    14. Joachim Freyberger & Andreas Neuhierl & Michael Weber, 2020. "Dissecting Characteristics Nonparametrically," The Review of Financial Studies, Society for Financial Studies, vol. 33(5), pages 2326-2377.
    15. Dewandaru, Ginanjar & Masih, Rumi & Bacha, Obiyathulla Ismath & Masih, A. Mansur M., 2017. "The role of Islamic asset classes in the diversified portfolios: Mean variance spanning test," Emerging Markets Review, Elsevier, vol. 30(C), pages 66-95.
    16. Zaremba Adam & Konieczka Przemysław, 2017. "Size, Value, and Momentum in Polish Equity Returns: Local or International Factors?," International Journal of Management and Economics, Warsaw School of Economics, Collegium of World Economy, vol. 53(3), pages 26-47, September.
    17. Hou, Kewei & Xue, Chen & Zhang, Lu, 2017. "Replicating Anomalies," Working Paper Series 2017-10, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
    18. Richardson, Scott & Tuna, Irem & Wysocki, Peter, 2010. "Accounting anomalies and fundamental analysis: A review of recent research advances," Journal of Accounting and Economics, Elsevier, vol. 50(2-3), pages 410-454, December.
    19. Papanastasopoulos, Georgios & Thomakos, Dimitrios & Wang, Tao, 2011. "Information in balance sheets for future stock returns: Evidence from net operating assets," International Review of Financial Analysis, Elsevier, vol. 20(5), pages 269-282.
    20. Bartram, Söhnke M. & Grinblatt, Mark, 2018. "Agnostic fundamental analysis works," Journal of Financial Economics, Elsevier, vol. 128(1), pages 125-147.

    More about this item

    Keywords

    Islamic equity; portfolio strategy; multi-style rotation; Black Litterman factor model; forecast;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:56965. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.