Abstract
This paper theoretically and empirically investigates the connection between portfolio theory and ordering theory. In particular, we examine three different portfolio problems and the respective orderings used to rank investors' choices: (1) risk orderings, (2) variability orderings, and (3) tracking-error orderings. For each problem, we discuss the properties of the risk measures, variability measures, and tracking-error measures, as well as their consistency with investor choices. Finally, for each problem, we propose an empirical application of several admissible portfolio optimization problems using the US stock market. The proposed empirical analysis permits us to evaluate the ex-post impact of the optimal choices, thereby deriving completely different investors' preference orderings during the recent financial crisis.
| Original language | English |
|---|---|
| Article number | 1350029 |
| Journal | International Journal of Theoretical and Applied Finance |
| Volume | 16 |
| Issue number | 5 |
| DOIs | |
| State | Published - 1 Aug 2013 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 10 Reduced Inequalities
Keywords
- Probability metrics
- behavioral finance ordering
- coherent measures
- linearizable optimization problems
- stochastic orderings
- tracking-error measures
ASJC Scopus subject areas
- Finance
- General Economics, Econometrics and Finance
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