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Impact of Portfolio Strategies on Portfolio Performance and Risk

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  • Zunera Shaukat
  • Ahmad Shahzad

Abstract

The Portfolio strategies are the effective investment tools pertaining to active and passive investment approaches. This signifies the investor¡¯s inclination of buying and selling the risky and risk-free assets. The research includes four strategies namely buy and hold strategy, dynamic asset allocation, strategic asset allocation and tactical asset allocation along with their dimensions. Strategies based hypothetical portfolios are generated on the basis of 14 years¡¯ stock prices (2005-2017). The annually and monthly risk-adjusted return ratios; Sharpe ratio, Treynor¡¯s measure, CAPM and Jenson Alpha are calculated individually. Simulated annualized portfolios generate significant result with Sharpe and treynor measure. Alpha return is generated with buy and hold if based on growth in stock prices. For empirical result, One-way analysis of variance (ANOVA) is used for studying the relationship between the strategies. Post hoc Tukey¡¯s test is applied to find the difference between the strategies. The ANOVA and Tukey¡¯s post hoc test for monthly portfolios gives significant results with three measure Sharpe ratio, CAPM and Jenson Alpha. No empirical significant result is measured on the basis of treynor measure.

Suggested Citation

  • Zunera Shaukat & Ahmad Shahzad, 2019. "Impact of Portfolio Strategies on Portfolio Performance and Risk," International Journal of Business Administration, International Journal of Business Administration, Sciedu Press, vol. 10(1), pages 73-86, January.
  • Handle: RePEc:jfr:ijba11:v:10:y:2019:i:1:p:73-86
    DOI: 10.5430/ijba.v10n1p73
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    1. Michel Dietsch, 2004. "Should SME exposures be treated as retail or corporate exposures: a comparative analysis of probabilities of default and assets correlations in French and German SMEs," ULB Institutional Repository 2013/14164, ULB -- Universite Libre de Bruxelles.
    2. Jun Liu & Francis A. Longstaff & Jun Pan, 2003. "Dynamic Asset Allocation with Event Risk," Journal of Finance, American Finance Association, vol. 58(1), pages 231-259, February.
    3. Hui Chen & Nengjiu Ju & Jianjun Miao, 2014. "Dynamic Asset Allocation with Ambiguous Return Predictability," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 17(4), pages 799-823, October.
    4. Eddie Hui & Philip Yam & John Wright & Kevin Chan, 2014. "Shall we buy and hold? Evidence from Asian real estate markets," Journal of Property Investment & Finance, Emerald Group Publishing Limited, vol. 32(2), pages 168-186, February.
    5. Albert Shiryaev & Zuoquan Xu & Xun Yu Zhou, 2008. "Thou shalt buy and hold," Quantitative Finance, Taylor & Francis Journals, vol. 8(8), pages 765-776.
    6. Dietsch, Michel & Petey, Joel, 2004. "Should SME exposures be treated as retail or corporate exposures? A comparative analysis of default probabilities and asset correlations in French and German SMEs," Journal of Banking & Finance, Elsevier, vol. 28(4), pages 773-788, April.
    7. John Core & Wayne Guay, 2002. "Estimating the Value of Employee Stock Option Portfolios and Their Sensitivities to Price and Volatility," Journal of Accounting Research, Wiley Blackwell, vol. 40(3), pages 613-630, June.
    8. Carroll, Rachael & Conlon, Thomas & Cotter, John & Salvador, Enrique, 2017. "Asset allocation with correlation: A composite trade-off," European Journal of Operational Research, Elsevier, vol. 262(3), pages 1164-1180.
    9. Hoevenaars, Roy P.M.M. & Molenaar, Roderick D.J. & Schotman, Peter C. & Steenkamp, Tom B.M., 2008. "Strategic asset allocation with liabilities: Beyond stocks and bonds," Journal of Economic Dynamics and Control, Elsevier, vol. 32(9), pages 2939-2970, September.
    10. Iuliia N. Naidenova & Petr A. Parshakov & Marina A. Zavertiaeva & Eduardo Tome, 2015. "Look For People, Not For Alpha: Mutual Funds Success And Managerial Intellectual Capital," HSE Working papers WP BRP 42/FE/2015, National Research University Higher School of Economics.
    11. Li, Shaoyu & Wei, Lijia & Xu, Zhiwei, 2017. "Dynamic asset allocation and consumption under inflation inequality: The impacts of inflation experiences and expectations," Economic Modelling, Elsevier, vol. 61(C), pages 113-125.
    12. Ralph S. J. Koijen & Juan Carlos Rodríguez & Alessandro Sbuelz, 2009. "Momentum and Mean Reversion in Strategic Asset Allocation," Management Science, INFORMS, vol. 55(7), pages 1199-1213, July.
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    1. Yusuf Olatunji Oyedeko & Olusola Segun Kolawole & Regina Samson & Olena Voloshyna, 2023. "Moderating Effect of Tactical Asset Allocation on the Risk-Return Relationship in the Nigerian Stock Market," Oblik i finansi, Institute of Accounting and Finance, issue 2, pages 83-91, June.

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