IDEAS home Printed from https://ideas.repec.org/a/inm/orisre/v27y2016i1p145-165.html
   My bibliography  Save this article

Research Note—Cloud Computing Spot Pricing Dynamics: Latency and Limits to Arbitrage

Author

Listed:
  • Hsing Kenneth Cheng

    (Hough Graduate School of Business, Warrington College of Business Administration, University of Florida, Gainesville, Florida 32611)

  • Zhi Li

    (Technology, Operation and Information Management Division, Babson College, Babson Park, Massachusetts 02457)

  • Andy Naranjo

    (Hough Graduate School of Business, Warrington College of Business Administration, University of Florida, Gainesville, Florida 32611)

Abstract

This study examines cloud computing spot pricing dynamics and the influence of latency on those pricing dynamics. Using the Amazon Elastic Compute Cloud U.S. East and West market spot instance pricing and latency intraday data from April 9, 2010, to May 22, 2011, we find considerable time variation in spot instance prices, and prices are often persistently higher in the West. Bivariate vector autoregressive model results show that within-market autoregressive pricing effects are larger than across-market effects. We also document that over 70% of the relative price discovery occurs in the East market. Our regression results further show that East–West latency differentials have a significantly positive effect on East–West pricing differentials. Latency creates a dynamic pricing wedge that widens or narrows conditional on the latency differentials. Using an error correction model, the speed of adjustment from long-run pricing convergence errors causes the short-run price differential to narrow, but the adjustment does not completely offset the price differential.

Suggested Citation

  • Hsing Kenneth Cheng & Zhi Li & Andy Naranjo, 2016. "Research Note—Cloud Computing Spot Pricing Dynamics: Latency and Limits to Arbitrage," Information Systems Research, INFORMS, vol. 27(1), pages 145-165, March.
    • Handle: RePEc:inm:orisre:v:27:y:2016:i:1:p:145-165
    DOI: 10.1287/isre.2015.0608
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/isre.2015.0608
    Download Restriction: no
    File URL: https://libkey.io/10.1287/isre.2015.0608?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Erik Brynjolfsson & Yu (Jeffrey) Hu & Mohammad S. Rahman, 2009. "Battle of the Retail Channels: How Product Selection and Geography Drive Cross-Channel Competition," Management Science, INFORMS, vol. 55(11), pages 1755-1765, November.
    2. de Jong, Frank, 2002. "Measures of contributions to price discovery: a comparison," Journal of Financial Markets, Elsevier, vol. 5(3), pages 323-327, July.
    3. Erik Brynjolfsson & Michael D. Smith, 2000. "Frictionless Commerce? A Comparison of Internet and Conventional Retailers," Management Science, INFORMS, vol. 46(4), pages 563-585, April.
    4. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    5. Gonzalo, Jesus & Granger, Clive W J, 1995. "Estimation of Common Long-Memory Components in Cointegrated Systems," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(1), pages 27-35, January.
    6. Hasbrouck, Joel, 1995. "One Security, Many Markets: Determining the Contributions to Price Discovery," Journal of Finance, American Finance Association, vol. 50(4), pages 1175-1199, September.
    7. Lehmann, Bruce N., 2002. "Some desiderata for the measurement of price discovery across markets," Journal of Financial Markets, Elsevier, vol. 5(3), pages 259-276, July.
    8. Baillie, Richard T. & Geoffrey Booth, G. & Tse, Yiuman & Zabotina, Tatyana, 2002. "Price discovery and common factor models," Journal of Financial Markets, Elsevier, vol. 5(3), pages 309-321, July.
    9. Sulin Ba & Jan Stallaert & Zhongju Zhang, 2012. "Research Note ---Online Price Dispersion: A Game-Theoretic Perspective and Empirical Evidence," Information Systems Research, INFORMS, vol. 23(2), pages 575-592, June.
    10. Sanjukta Das & Anna Ye Du & Ram Gopal & R. Ramesh, 2011. "Risk Management and Optimal Pricing in Online Storage Grids," Information Systems Research, INFORMS, vol. 22(4), pages 756-773, December.
    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. Leila Hosseini & Shaojie Tang & Vijay Mookerjee & Chelliah Sriskandarajah, 2020. "A Switch in Time Saves the Dime: A Model to Reduce Rental Cost in Cloud Computing," Information Systems Research, INFORMS, vol. 31(3), pages 753-775, September.
    2. Doan, Xuan Vinh & Lei, Xiao & Shen, Siqian, 2020. "Pricing of reusable resources under ambiguous distributions of demand and service time with emerging applications," European Journal of Operational Research, Elsevier, vol. 282(1), pages 235-251.
    3. Dirk Schneckenberg & Jose Benitez & Christoph Klos & Vivek Velamuri & Patrick Spieth, 2021. "Value creation and appropriation of software vendors: A digital innovation model for cloud computing," Post-Print hal-03329065, HAL.

    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. Christoph Schmidhammer & Sebastian Lobe & Klaus Röder, 2016. "The day the index rose 11 %: a clinical study on price discovery reversal," Review of Quantitative Finance and Accounting, Springer, vol. 46(1), pages 79-106, January.
    2. Hou, Yang & Li, Steven, 2017. "Time-Varying Price Discovery and Autoregressive Loading Factors: Evidence from S&P 500 Cash and E-Mini Futures Markets," MPRA Paper 81999, University Library of Munich, Germany.
    3. Mizrach, Bruce & Neely, Christopher J., 2008. "Information shares in the US Treasury market," Journal of Banking & Finance, Elsevier, vol. 32(7), pages 1221-1233, July.
    4. Chen, Wei-Peng & Chung, Huimin & Lien, Donald, 2016. "Price discovery in the S&P 500 index derivatives markets," International Review of Economics & Finance, Elsevier, vol. 45(C), pages 438-452.
    5. Zhang, Dan & Farnoosh, Arash & Lantz, Frédéric, 2022. "Does something change in the oil market with the COVID-19 crisis?," International Economics, Elsevier, vol. 169(C), pages 252-268.
    6. Chen, Yu-Lun & Gau, Yin-Feng, 2015. "Foreign exchange market intervention and price discovery," Journal of the Japanese and International Economies, Elsevier, vol. 38(C), pages 214-227.
    7. Yang Hu & Yang (Greg) Hou & Les Oxley, 2019. "Spot and Futures Prices of Bitcoin: Causality, Cointegration and Price Discovery from a Time-Varying Perspective," Working Papers in Economics 19/13, University of Waikato.
    8. Grammig, Joachim & Melvin, Michael & Schlag, Christian, 2005. "Internationally cross-listed stock prices during overlapping trading hours: price discovery and exchange rate effects," Journal of Empirical Finance, Elsevier, vol. 12(1), pages 139-164, January.
    9. Fricke, Christoph & Menkhoff, Lukas, 2011. "Does the "Bund" dominate price discovery in Euro bond futures? Examining information shares," Journal of Banking & Finance, Elsevier, vol. 35(5), pages 1057-1072, May.
    10. Bingcheng Yan & Eric Zivot, 2007. "A Structural Analysis of Price Discovery Measures," Working Papers UWEC-2006-08-FC, University of Washington, Department of Economics, revised Apr 2007.
    11. Shrestha, Keshab & Naysary, Babak & Philip, Sheena Sara Suresh, 2023. "Price discovery in carbon exchange traded fund markets," International Review of Financial Analysis, Elsevier, vol. 89(C).
    12. Hu, Yang & Hou, Yang Greg & Oxley, Les, 2020. "What role do futures markets play in Bitcoin pricing? Causality, cointegration and price discovery from a time-varying perspective?," International Review of Financial Analysis, Elsevier, vol. 72(C).
    13. Wu, Zhen-Xing & Gau, Yin-Feng & Chen, Yu-Lun, 2023. "Price discovery and triangular arbitrage in currency markets," Journal of International Money and Finance, Elsevier, vol. 137(C).
    14. Sebastiano Michele Zema, 2020. "Directed Acyclic Graph based Information Shares for Price Discovery," LEM Papers Series 2020/28, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    15. Shrestha, Keshab & Subramaniam, Ravichandran & Thiyagarajan, Thangarajah, 2020. "Price Discovery in Agricultural Markets," American Business Review, Pompea College of Business, University of New Haven, vol. 23(1), pages 53-69, May.
    16. Chen, Yu-Lun & Gau, Yin-Feng, 2014. "Asymmetric responses of ask and bid quotes to information in the foreign exchange market," Journal of Banking & Finance, Elsevier, vol. 38(C), pages 194-204.
    17. Hou, Yang & Nartea, Gilbert, 2017. "Price Discovery in the Stock Index Futures Market: Evidence from the Chinese stock market crash," MPRA Paper 81995, University Library of Munich, Germany.
    18. Zema, Sebastiano Michele, 2022. "Directed acyclic graph based information shares for price discovery," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    19. Tse, Yiuman & Xiang, Ju, 2005. "Market quality and price discovery: Introduction of the E-mini energy futures," Global Finance Journal, Elsevier, vol. 16(2), pages 164-179, December.
    20. Christoph Schmidhammer & Sebastian Lobe & Klaus Röder, 2016. "The day the index rose 11 %: a clinical study on price discovery reversal," Review of Quantitative Finance and Accounting, Springer, vol. 46(1), pages 79-106, January.

    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:inm:orisre:v:27:y:2016:i:1:p:145-165. 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    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.