IDEAS home Printed from https://ideas.repec.org/h/elg/eechap/14545_2.html
   My bibliography  Save this book chapter

Portfolio optimization: theory and practical implementation

In: Handbook of Research Methods and Applications in Empirical Finance

Author

Listed:
  • William T. Ziemba

Abstract

This impressive Handbook presents the quantitative techniques that are commonly employed in empirical finance research together with real-world, state-of-the-art research examples.

Suggested Citation

  • William T. Ziemba, 2013. "Portfolio optimization: theory and practical implementation," Chapters, in: Adrian R. Bell & Chris Brooks & Marcel Prokopczuk (ed.), Handbook of Research Methods and Applications in Empirical Finance, chapter 2, pages 45-72, Edward Elgar Publishing.
    • Handle: RePEc:elg:eechap:14545_2
    as

    Download full text from publisher

    File URL: https://www.elgaronline.com/view/9780857936080.00008.xml
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ziemba, W. T. & Vickson, R. G. (ed.), 1975. "Stochastic Optimization Models in Finance," Elsevier Monographs, Elsevier, edition 1, number 9780127808505.
    2. David R. Cariño & David H. Myers & William T. Ziemba, 1998. "Concepts, Technical Issues, and Uses of the Russell-Yasuda Kasai Financial Planning Model," Operations Research, INFORMS, vol. 46(4), pages 450-462, August.
    3. Hakansson, Nils H, 1971. "On Optimal Myopic Portfolio Policies, With and Without Serial Correlation of Yields," The Journal of Business, University of Chicago Press, vol. 44(3), pages 324-334, July.
    4. Fleten, Stein-Erik & Hoyland, Kjetil & Wallace, Stein W., 2002. "The performance of stochastic dynamic and fixed mix portfolio models," European Journal of Operational Research, Elsevier, vol. 140(1), pages 37-49, July.
    5. Adrian R. Bell & Chris Brooks & Marcel Prokopczuk (ed.), 2013. "Handbook of Research Methods and Applications in Empirical Finance," Books, Edward Elgar Publishing, number 14545.
    6. Leonard Maclean & William Ziemba & Yuming Li, 2005. "Time to wealth goals in capital accumulation," Quantitative Finance, Taylor & Francis Journals, vol. 5(4), pages 343-355.
    7. William F. Sharpe, 1964. "Capital Asset Prices: A Theory Of Market Equilibrium Under Conditions Of Risk," Journal of Finance, American Finance Association, vol. 19(3), pages 425-442, September.
    8. Olivier Gergaud & William T. Ziemba, 2016. "Great Investors: Their Methods, Results and Evaluation," World Scientific Book Chapters, in: GREAT INVESTMENT IDEAS, chapter 9, pages 175-212, World Scientific Publishing Co. Pte. Ltd..
    9. Jacek Gondzio & Roy Kouwenberg, 2001. "High-Performance Computing for Asset-Liability Management," Operations Research, INFORMS, vol. 49(6), pages 879-891, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Napat Rujeerapaiboon & Daniel Kuhn & Wolfram Wiesemann, 2016. "Robust Growth-Optimal Portfolios," Management Science, INFORMS, vol. 62(7), pages 2090-2109, July.
    2. Christopher Bayliss & Marti Serra & Armando Nieto & Angel A. Juan, 2020. "Combining a Matheuristic with Simulation for Risk Management of Stochastic Assets and Liabilities," Risks, MDPI, vol. 8(4), pages 1-14, December.
    3. Alois Geyer & William T. Ziemba, 2008. "The Innovest Austrian Pension Fund Financial Planning Model InnoALM," Operations Research, INFORMS, vol. 56(4), pages 797-810, August.
    4. Malevergne, Y. & Sornette, D., 2007. "Self-consistent asset pricing models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 382(1), pages 149-171.
    5. John Board & Charles Sutcliffe, 2007. "Joined-Up Pensions Policy in the UK: An Asset-Liability Model for Simultaneously Determining the Asset Allocation and Contribution Rate," Economic Analysis, Institute of Economic Sciences, vol. 40(3-4), pages 87-118.
    6. Schmalensee, Richard., 1978. "A simple model of risk and return on long-lived tangible assets," Working papers 1036-78., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    7. François-Éric Racicot & William F. Rentz & Alfred L. Kahl, 2017. "Rolling Regression Analysis of the Pástor-Stambaugh Model: Evidence from Robust Instrumental Variables," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 23(1), pages 75-90, February.
    8. MacLean, Leonard C. & Foster, Michael E. & Ziemba, William T., 2007. "Covariance complexity and rates of return on assets," Journal of Banking & Finance, Elsevier, vol. 31(11), pages 3503-3523, November.
    9. Petri Hilli & Matti Koivu & Teemu Pennanen & Antero Ranne, 2007. "A stochastic programming model for asset liability management of a Finnish pension company," Annals of Operations Research, Springer, vol. 152(1), pages 115-139, July.
    10. Manel Baucells & Rakesh K. Sarin, 2019. "The Myopic Property in Decision Models," Decision Analysis, INFORMS, vol. 16(2), pages 128-141, June.
    11. Ziemba, William, 2016. "A response to Professor Paul A. Samuelson's objections to Kelly capital growth investing," LSE Research Online Documents on Economics 119002, London School of Economics and Political Science, LSE Library.
    12. ManMohan S. Sodhi, 2005. "LP Modeling for Asset-Liability Management: A Survey of Choices and Simplifications," Operations Research, INFORMS, vol. 53(2), pages 181-196, April.
    13. David Feldman, 2007. "Incomplete information equilibria: Separation theorems and other myths," Annals of Operations Research, Springer, vol. 151(1), pages 119-149, April.
    14. Grauer, Robert R. & Shen, Frederick C., 2000. "Do constraints improve portfolio performance?," Journal of Banking & Finance, Elsevier, vol. 24(8), pages 1253-1274, August.
    15. David Johnstone & Dennis Lindley, 2013. "Mean-Variance and Expected Utility: The Borch Paradox," Papers 1306.2728, arXiv.org.
    16. Bae, Geum Il & Kim, Woo Chang & Mulvey, John M., 2014. "Dynamic asset allocation for varied financial markets under regime switching framework," European Journal of Operational Research, Elsevier, vol. 234(2), pages 450-458.
    17. Shi, Huai-Long & Zhou, Wei-Xing, 2022. "Factor volatility spillover and its implications on factor premia," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    18. Ho, Ron Yiu-wah & Strange, Roger & Piesse, Jenifer, 2006. "On the conditional pricing effects of beta, size, and book-to-market equity in the Hong Kong market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 16(3), pages 199-214, July.
    19. Muhammad Kashif & Thomas Leirvik, 2022. "The MAX Effect in an Oil Exporting Country: The Case of Norway," JRFM, MDPI, vol. 15(4), pages 1-16, March.
    20. Michel Fliess & Cédric Join, 2009. "Systematic risk analysis: first steps towards a new definition of beta," Post-Print inria-00425077, HAL.

    More about this item

    Keywords

    Economics and Finance; Research Methods;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:elg:eechap:14545_2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Darrel McCalla (email available below). General contact details of provider: http://www.e-elgar.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.