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The portfolio strategy and hedging: A spectrum perspective on mean–variance theory

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  • Hsu, Pao-Peng
  • Liao, Szu-Lang

Abstract

This paper aims to establish a portfolio strategy using information of lead–lag relationship. The efficient frontier in mean–variance theory has confirmed that the spectrum strategy established by the lead–lag relationship yields superior performance assuming the same volatility. And then we construct the spectrum portfolios based on two approaches: a recursive approach, which uses a recursive method in the lead–lag relationship, and a joint approach, which combines two lead–lag relationships. The effect of the spectrum strategy using mutual fund data from 1999 through 2009 is examined. The results indicate that the spectrum portfolio has a superior performance as compared to the benchmark with both approaches. Furthermore, the spectrum portfolio by recursive approach maintains superior performance in hedging.

Suggested Citation

  • Hsu, Pao-Peng & Liao, Szu-Lang, 2012. "The portfolio strategy and hedging: A spectrum perspective on mean–variance theory," International Review of Economics & Finance, Elsevier, vol. 22(1), pages 129-140.
  • Handle: RePEc:eee:reveco:v:22:y:2012:i:1:p:129-140
    DOI: 10.1016/j.iref.2011.09.001
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    1. Yu, Chih-Hsien & Wu, Chunchi, 2001. "Economic sources of asymmetric cross-correlation among stock returns," International Review of Economics & Finance, Elsevier, vol. 10(1), pages 19-40.
    2. Fernandez-Rodriguez, Fernando & Gonzalez-Martel, Christian & Sosvilla-Rivero, Simon, 2000. "On the profitability of technical trading rules based on artificial neural networks:: Evidence from the Madrid stock market," Economics Letters, Elsevier, vol. 69(1), pages 89-94, October.
    3. Dowd, Kevin, 2000. "Adjusting for risk:: An improved Sharpe ratio," International Review of Economics & Finance, Elsevier, vol. 9(3), pages 209-222, July.
    4. Narayan, Paresh Kumar & Popp, Stephan, 2009. "Investigating business cycle asymmetry for the G7 countries: Evidence from over a century of data," International Review of Economics & Finance, Elsevier, vol. 18(4), pages 583-591, October.
    5. Chiang, Thomas C. & Nelling, Edward & Tan, Lin, 2008. "The speed of adjustment to information: Evidence from the Chinese stock market," International Review of Economics & Finance, Elsevier, vol. 17(2), pages 216-229.
    6. Gonzalez, Liliana & Powell, John G. & Shi, Jing & Wilson, Antony, 2005. "Two centuries of bull and bear market cycles," International Review of Economics & Finance, Elsevier, vol. 14(4), pages 469-486.
    7. Kanas, Angelos & Kouretas, Georgios P., 2005. "A cointegration approach to the lead-lag effect among size-sorted equity portfolios," International Review of Economics & Finance, Elsevier, vol. 14(2), pages 181-201.
    8. Harvey, A C & Jaeger, A, 1993. "Detrending, Stylized Facts and the Business Cycle," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(3), pages 231-247, July-Sept.
    9. Cynthia A. Montgomery & Harbir Singh, 1984. "Diversification strategy and systematic risk," Strategic Management Journal, Wiley Blackwell, vol. 5(2), pages 181-191, April.
    10. Abderrezak, Ali, 1998. "On the Duration of Growth Cycles: An International Study," International Review of Economics & Finance, Elsevier, vol. 7(3), pages 343-355.
    11. Brocato, Joe & Steed, Steve, 1998. "Optimal Asset Allocation over the Business Cycle," The Financial Review, Eastern Finance Association, vol. 33(3), pages 129-148, August.
    12. A'Hearn, Brian & Woitek, Ulrich, 2001. "More international evidence on the historical properties of business cycles," Journal of Monetary Economics, Elsevier, vol. 47(2), pages 321-346, April.
    13. Pao-Peng Hsu & Chen-Hui Yen & Ya-Hui Chang & Li-Ling Chou, 2011. "Cycle and performance of mutual funds - an application of spectral analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 18(1), pages 75-79.
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    2. Marrero, Gustavo A. & Puch, Luis A. & Ramos-Real, Francisco J., 2015. "Mean-variance portfolio methods for energy policy risk management," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 246-264.

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