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The risk profile problem for stock portfolio optimization (extended abstract)
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Source Annual ACM Symposium on Theory of Computing archive
Proceedings of the thirty-second annual ACM symposium on Theory of computing table of contents
Portland, Oregon, United States
Pages: 228 - 234  
Year of Publication: 2000
ISBN:1-58113-184-4
Authors
Ming-Yang Kao  Dept of Computer Science, Yale University, New Haven, CT
Andreas Nolte  Dept of Computer Science, Yale University, New Haven, CT
Stephen R. Tate  Dept of Computer Science, University of North Texas, Denton, TX
Sponsor
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
Publisher
ACM  New York, NY, USA
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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
M. Dyer and A. Frieze. Computing the volume of convex bodies: a case where randomness provably helps. In Probabilistic combinatorics and its applications, pages 123-169. American Mathematical Society, Providence, RI, 1991.
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R. Kannan. Markov chains and polynomial time algorithms. In Proceedings of the 35th Annual IEEE Symposium on the Foundations of Computer Science, pages 656-671, 1994.
 
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W. F. Sharpe, G. J. Alexander, and J. V. Bailey. Investments. Prentice-Hall, Upper Saddle River, NJ, 5th edition, 1995.

Collaborative Colleagues:
Ming-Yang Kao: colleagues
Andreas Nolte: colleagues
Stephen R. Tate: colleagues

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