|edoc-Server der Humboldt-Universität zu Berlin|
Julian Douglass, University of British Columbia, Vancouver|
Owen Wu, University of British Columbia, Vancouver
William T. Ziemba, University of British Columbia, Vancouver
|Title:||Stock ownership decisions in DC pension plans|
|Date of Acceptance:||30.09.2003|
Stochastic Programming E-Print Series |
|Editors:||Julie L. Higle; Werner Römisch; Surrajeet Sen|
|Complete Preprint:||pdf (urn:nbn:de:kobv:11-10059182)|
|Keywords (eng):||stochastic programming, Asset allocation, Defined contribution pension plans|
|Metadata export: To export the complete metadata set as Endote or Bibtex format please click to the appropriate link.||Endnote Bibtex|
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|This paper considers the risk of employee pension accounts when there is a large weighting in company stock. The effect of reduced diversification and job related risk are considered. Mean-variance and scenario-based stochastic programming models are used for analysis. The stochastic porgramming formulation allows for fat tailed return distributions. Company stock is only optimal for employees with very low risk aversion or with very high return expectations for company stock. These conclusions are further strengthened when the possibility of job loss associated with poor company stock performance is included in the model. High observed weightings in company stock in DC pension plans are not explained by rational one-period models. Employees are bearing high levels of risk that is not rewarded, and that can lead to disastrous consequences.|
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