Testing for Stochastic Dominance Efficiency
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.(This abstract was borrowed from another version of this item.)
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Bibliographic Info
Article provided by American Statistical Association in its journal Journal of Business and Economic Statistics.
Volume (Year): 28 (2010)
Issue (Month): 1 ()
Pages: 169-180
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Related research
Keywords:Other versions of this item:
- Olivier Scaillet & Nikolas Topaloglou, 2005. "Testing for Stochastic Dominance Efficiency," FAME Research Paper Series rp154, International Center for Financial Asset Management and Engineering.
- Nikolas Topaloglou & Olivier Scaillet & University of Geneva, 2006. "Testing foe Stochastic Dominance Efficiency," Computing in Economics and Finance 2006 74, Society for Computational Economics.
- C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
- C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
- D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
- G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
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Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.Cited by:
- 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.
- 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.
- Mehmet Pinar & Thanasis Stengos & Nikolas Topaloglou, 2013. "Measuring human development: a stochastic dominance approach," Journal of Economic Growth, Springer, vol. 18(1), pages 69-108, March.
- Mehmet Pinar & Thanasis Stengos & Nikolas Topaloglou, 2012. "Measuring human development: a stochastic dominance approach," Working Papers 1209, University of Guelph, Department of Economics.
- Gonzalo, Jesús & Olmo, José, .
"Conditional stochastic dominance tests in dynamic settings,"
Open Access publications from Universidad Carlos III de Madrid
info:hdl:10016/9691, Universidad Carlos III de Madrid.
- Jose Olmo & Jesus Gonzalo, 2012. "Conditional stochastic dominance tests in dynamic settings," Economics Working Papers we1205, Universidad Carlos III, Departamento de Economía.
- Jesús Gonzalo & José Olmo, 2010. "Conditional stochastic dominance tests in dynamic settings," Economics Working Papers we1029, Universidad Carlos III, Departamento de Economía.
- 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.
- Mehmet Pinar & Thanasis Stengos & M. Ege Yazgan, 2012. "Is there an Optimal Forecast Combination? A Stochastic Dominance Approach to Forecast Combination Puzzle," Working Paper Series 17_12, The Rimini Centre for Economic Analysis.
- Miguel A. Delgado & Juan Carlos Escanciano, 2013.
"Conditional Stochastic Dominance Testing,"
Journal of Business & Economic Statistics,
American Statistical Association, vol. 31(1), pages 16-28, January.
- Miguel A. Delgado & Juan Carlos Escanciano, 2011. "Conditional stochastic dominance testing," Economics Working Papers we1138, Universidad Carlos III, Departamento de Economía.
- 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.
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