IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2007.01430.html
   My bibliography  Save this paper

Portfolio Optimization of 40 Stocks Using the DWave Quantum Annealer

Author

Listed:
  • Jeffrey Cohen
  • Alex Khan
  • Clark Alexander

Abstract

We investigate the use of quantum computers for building a portfolio out of a universe of U.S. listed, liquid equities that contains an optimal set of stocks. Starting from historical market data, we look at various problem formulations on the D-Wave Systems Inc. D-Wave 2000Q(TM) System (hereafter called DWave) to find the optimal risk vs return portfolio; an optimized portfolio based on the Markowitz formulation and the Sharpe ratio, a simplified Chicago Quantum Ratio (CQR), then a new Chicago Quantum Net Score (CQNS). We approach this first classically, then by our new method on DWave. Our results show that practitioners can use a DWave to select attractive portfolios out of 40 U.S. liquid equities.

Suggested Citation

  • Jeffrey Cohen & Alex Khan & Clark Alexander, 2020. "Portfolio Optimization of 40 Stocks Using the DWave Quantum Annealer," Papers 2007.01430, arXiv.org.
    • Handle: RePEc:arx:papers:2007.01430
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/2007.01430
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jensen, Michael C, 1969. "Risk, The Pricing of Capital Assets, and the Evaluation of Investment Portfolios," The Journal of Business, University of Chicago Press, vol. 42(2), pages 167-247, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Adam Bouland & Wim van Dam & Hamed Joorati & Iordanis Kerenidis & Anupam Prakash, 2020. "Prospects and challenges of quantum finance," Papers 2011.06492, arXiv.org.
    2. Kyle Steinhauer & Takahisa Fukadai & Sho Yoshida, 2020. "Solving the Optimal Trading Trajectory Problem Using Simulated Bifurcation," Papers 2009.08412, arXiv.org.
    3. Frank Phillipson & Harshil Singh Bhatia, 2020. "Portfolio Optimisation Using the D-Wave Quantum Annealer," Papers 2012.01121, arXiv.org.
    4. Abha Naik & Esra Yeniaras & Gerhard Hellstern & Grishma Prasad & Sanjay Kumar Lalta Prasad Vishwakarma, 2023. "From Portfolio Optimization to Quantum Blockchain and Security: A Systematic Review of Quantum Computing in Finance," Papers 2307.01155, arXiv.org.
    5. Samuel Mugel & Enrique Lizaso & Roman Orus, 2020. "Use Cases of Quantum Optimization for Finance," Papers 2010.01312, arXiv.org.

    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. George G. Kaufman, 1980. "Duration, Planning Period, And Tests Of The Capital Asset Pricing Model," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 3(1), pages 1-9, March.
    2. David A. Volkman, 1999. "Market Volatility And Perverse Timing Performance Of Mutual Fund Managers," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 22(4), pages 449-470, December.
    3. Gökçe Soydemir & Jan Smolarski & Sangheon Shin, 2014. "Hedge funds, fund attributes and risk adjusted returns," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 38(1), pages 133-149, January.
    4. Hany Shawky & Ronald Forbes & Alan Frankle, 1983. "Liquidity Services and Capital Market Equilibrium: The Case for Money Market Mutual Funds," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 6(2), pages 141-152, June.
    5. John H. Cochrane, 1999. "New facts in finance," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 23(Q III), pages 36-58.
    6. Hooi Hooi Lean & Michael McAleer & Wing-Keung Wong, 2013. "Risk-averse and Risk-seeking Investor Preferences for Oil Spot and Futures," Documentos de Trabajo del ICAE 2013-31, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico, revised Aug 2013.
    7. Brahmadev Panda & Rudra Prasanna Mahapatra & Samson Moharana, 2015. "Myth of Equity Mutual Fund Performance," Vision, , vol. 19(3), pages 200-209, September.
    8. Philip Gharghori & Charly Sujoto & Madhu Veeraraghavan, 2008. "Are Australian Investors Smart?," Australian Journal of Management, Australian School of Business, vol. 32(3), pages 525-544, March.
    9. Lean, Hooi Hooi & McAleer, Michael & Wong, Wing-Keung, 2015. "Preferences of risk-averse and risk-seeking investors for oil spot and futures before, during and after the Global Financial Crisis," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 204-216.
    10. Ioannis D Vrontos & Loukia Meligkotsidou & Spyridon D Vrontos, 2011. "Performance evaluation of mutual fund investments: The impact of non-normality and time-varying volatility," Journal of Asset Management, Palgrave Macmillan, vol. 12(4), pages 292-307, September.
    11. Gil Aharoni & Oded H. Sarig, 2012. "Hot hands and equilibrium," Applied Economics, Taylor & Francis Journals, vol. 44(18), pages 2309-2320, June.
    12. Roberto Casarin & Andrea Piva & Loriana Pelizzon, 2008. "Italian Equity Funds: Efficiency and Performance Persistence," The IUP Journal of Financial Economics, IUP Publications, vol. 0(1), pages 7-28, March.
    13. Stanley Block & Dan French, 2002. "The effect of portfolio weighting on investment performance evaluation: The case of actively managed mutual funds," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 26(1), pages 16-30, March.
    14. Taylor, Jonathan, 2003. "Risk-taking behavior in mutual fund tournaments," Journal of Economic Behavior & Organization, Elsevier, vol. 50(3), pages 373-383, March.
    15. Dan W. French & Glenn V. Henderson Jr., 1981. "Substitute Hedged Option Portfolios: Theory And Evidence," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 4(1), pages 21-31, March.
    16. Erwin M. Saniga & Thomas H. McInish & Bruce K. Gouldey, 1981. "The Effect Of Differencing Interval Length On Beta," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 4(2), pages 129-135, June.
    17. Claus Dierksmeier, 2020. "From Jensen to Jensen: Mechanistic Management Education or Humanistic Management Learning?," Journal of Business Ethics, Springer, vol. 166(1), pages 73-87, September.
    18. Mei, Bin & Sun, Changyou, 2008. "Event analysis of the impact of mergers and acquisitions on the financial performance of the U.S. forest products industry," Forest Policy and Economics, Elsevier, vol. 10(5), pages 286-294, April.
    19. Attiya Yasmeen Javid, 2000. "Alternative Capital Asset Pricing Models: A Review of Theory and Evidence," PIDE Research Report 2000:3, Pakistan Institute of Development Economics.
    20. Wong, Wing-Keung & Phoon, Kok Fai & Lean, Hooi Hooi, 2008. "Stochastic dominance analysis of Asian hedge funds," Pacific-Basin Finance Journal, Elsevier, vol. 16(3), pages 204-223, June.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:arx:papers:2007.01430. 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: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    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.