Optimization with Performance-Attribution Constraints

W. Brent Lindquist, Svetlozar T. Rachev, Yuan Hu, Abootaleb Shirvani

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

How well a portfolio performs is of primary concern for investors and governs investor confidence in the portfolio’s management. Attribution analysis provides measures for how well a portfolio is being managed. While performance-attribution measures have been used traditionally as a diagnostic tool, this chapter introduces the recent development to include these measures as constraints in portfolio optimization. Two such measures, asset allocation and the selection effect, are used to constrain conditional value-at-risk optimization of the domestic REIT portfolio under historical and dynamic optimization. The results are analyzed in terms of price and reward-to-risk performance measures. Performance improvement is then characterized in terms of the attribution measure used as the constraint, the optimization method, and the level of turnover constraint.

Original languageEnglish
Title of host publicationDynamic Modeling and Econometrics in Economics and Finance
PublisherSpringer Science and Business Media Deutschland GmbH
Pages181-196
Number of pages16
DOIs
StatePublished - 2022

Publication series

NameDynamic Modeling and Econometrics in Economics and Finance
Volume30
ISSN (Print)1566-0419
ISSN (Electronic)2363-8370

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