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Testing foe Stochastic Dominance Efficiency

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  • Nikolas Topaloglou

    ()
    (University of Geneva)

  • Olivier Scaillet

    (University of Geneva)

  • University of Geneva

Abstract

We consider consistent tests for stochastic dominance efficiency at any order of a given portfolio with respect to all possible portfolios constructed from a set of assets. We propose and justify approaches based on simulation and the block bootstrap to achieve valid inference in a time series setting. The test statistics and the estimators are computed using linear and mixed integer programming methods. The empirical application shows that the Fama and French market portfolio is FSD and SSD efficient, although it is mean-variance inefficient

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Bibliographic Info

Paper provided by Society for Computational Economics in its series Computing in Economics and Finance 2006 with number 74.

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Date of creation: 04 Jul 2006
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Handle: RePEc:sce:scecfa:74

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Cited by:
  1. Jose Olmo & Jesus Gonzalo, 2012. "Conditional stochastic dominance tests in dynamic settings," Economics Working Papers we1205, Universidad Carlos III, Departamento de Economía.
  2. Miguel A. Delgado & Juan Carlos Escanciano, 2013. "Conditional Stochastic Dominance Testing," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(1), pages 16-28, January.
  3. Mehmet Pinar & Thanasis Stengos & Nikolas Topaloglou, 2012. "Measuring Human Development: A Stochastic Dominance Approach," Working Paper Series 42_12, The Rimini Centre for Economic Analysis.
  4. Martin Branda & Miloš Kopa, 2012. "DEA-Risk Efficiency and Stochastic Dominance Efficiency of Stock Indices," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 62(2), pages 106-124, May.
  5. Agliardi, Elettra & Agliardi, Rossella & Pinar, Mehmet & Stengos, Thanasis & Topaloglou, Nikolas, 2012. "A new country risk index for emerging markets: A stochastic dominance approach," Journal of Empirical Finance, Elsevier, vol. 19(5), pages 741-761.
  6. Elettra Agliardi & Mehmet Pinar & Thanasis Stengos, 2013. "A New Index of Environmental Quality Based on Greenhouse Gas Emissions," Working Paper Series 12_13, The Rimini Centre for Economic Analysis.
  7. Mehmet Pinar & Thanasis Stengos & M. Ege Yazgan, 2012. "Is there an optimal forecast combination? A stochastic dominance approach applied to the forecast combination puzzle," Working Papers 1206, University of Guelph, Department of Economics and Finance.
  8. Timothy Falcon Crack & Olivier Ledoit, 2010. "Central limit theorems when data are dependent: addressing the pedagogical gaps," IEW - Working Papers 480, Institute for Empirical Research in Economics - University of Zurich.
  9. Ibarra, Raul, 2013. "A spatial dominance approach to evaluate the performance of stocks and bonds: Does the investment horizon matter?," The Quarterly Review of Economics and Finance, Elsevier, vol. 53(4), pages 429-439.

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