Monitoring Active Portfolios Using Statistical Process Control

  • Emmanuel Yashchin
  • Thomas K. Philips
  • David M. Stein
Part of the Advances in Computational Economics book series (AICE, volume 6)


We consider the problem of estimating the performance of a portfolio via an on-line algorithm; i.e. the return of the portfolio is measured at regular (typically monthly) intervals, and every time a new return for the portfolio is received, the estimate of the portfolio’s current performance is updated. An alarm is raised when sufficient statistical evidence accrues to determine that the portfolio is not meeting some prespecified criterion of satisfactory performance.


False Alarm Tracking Error Excess Return Sequential Probability Ratio Test Unsatisfactory Performance 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media Dordrecht 1997

Authors and Affiliations

  • Emmanuel Yashchin
  • Thomas K. Philips
  • David M. Stein

There are no affiliations available

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