IDEAS home Printed from https://ideas.repec.org/p/tsa/wpaper/0214fin.html
   My bibliography  Save this paper

Exchange Traded Funds, Size-Based Portfolios, And Market Efficiency

Author

Listed:
  • Palani-Rajan Kadapakkam

    (UTSA)

  • Timothy Krause
  • Yiuman Tse

Abstract

We examine the informational efficiency of size-based U.S. Exchange Traded Funds (ETFs) and comparable CRSP portfolios using weekly and daily returns. Compared to the CRSP portfolios, ETFs are better suited for market efficiency tests. ETFs avoid the problems created by asynchronous pricing of underlying securities. Further, their negligible bid-ask spreads greatly diminish noise due to the bid-ask bounce. Variance ratio analysis demonstrates that return autocorrelations have diminished significantly over the past decade. Granger causality tests reject the presence of lead-lag effects among size-based ETFs. Volatility spills over from large firm ETFs to those of smaller firms, and correlations increase during periods of market volatility. We confirm these spillovers by examining implied volatilities derived from ETF option prices.

Suggested Citation

  • Palani-Rajan Kadapakkam & Timothy Krause & Yiuman Tse, 2013. "Exchange Traded Funds, Size-Based Portfolios, And Market Efficiency," Working Papers 0214fin, College of Business, University of Texas at San Antonio.
    • Handle: RePEc:tsa:wpaper:0214fin
    as

    Download full text from publisher

    File URL: http://interim.business.utsa.edu/wps/fin/0037FIN-088-2013.pdf
    File Function: Full text Classification- G15
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kewei Hou, 2007. "Industry Information Diffusion and the Lead-lag Effect in Stock Returns," The Review of Financial Studies, Society for Financial Studies, vol. 20(4), pages 1113-1138.
    2. Andrew W. Lo, A. Craig MacKinlay, 1988. "Stock Market Prices do not Follow Random Walks: Evidence from a Simple Specification Test," The Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 41-66.
    3. Guillermo Llorente & Roni Michaely & Gideon Saar & Jiang Wang, 2002. "Dynamic Volume-Return Relation of Individual Stocks," The Review of Financial Studies, Society for Financial Studies, vol. 15(4), pages 1005-1047.
    4. Wright, Jonathan H, 2000. "Alternative Variance-Ratio Tests Using Ranks and Signs," Journal of Business & Economic Statistics, American Statistical Association, vol. 18(1), pages 1-9, January.
    5. Fama, Eugene F & French, Kenneth R, 1988. "Permanent and Temporary Components of Stock Prices," Journal of Political Economy, University of Chicago Press, vol. 96(2), pages 246-273, April.
    6. Lo, Andrew W. & Craig MacKinlay, A., 1990. "An econometric analysis of nonsynchronous trading," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 181-211.
    7. Hibbert, Ann Marie & Daigler, Robert T. & Dupoyet, Brice, 2008. "A behavioral explanation for the negative asymmetric return-volatility relation," Journal of Banking & Finance, Elsevier, vol. 32(10), pages 2254-2266, October.
    8. Chung, Kee H. & Zhang, Hao, 2014. "A simple approximation of intraday spreads using daily data," Journal of Financial Markets, Elsevier, vol. 17(C), pages 94-120.
    9. Malinova, Katya & Park, Andreas, 2010. "Trading Volume in Dealer Markets," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 45(6), pages 1447-1484, December.
    10. Mech, Timothy S., 1993. "Portfolio return autocorrelation," Journal of Financial Economics, Elsevier, vol. 34(3), pages 307-344, December.
    11. O'Hara, Maureen & Ye, Mao, 2011. "Is market fragmentation harming market quality?," Journal of Financial Economics, Elsevier, vol. 100(3), pages 459-474, June.
    12. Jensen, Michael C., 1978. "Some anomalous evidence regarding market efficiency," Journal of Financial Economics, Elsevier, vol. 6(2-3), pages 95-101.
    13. John H. Cochrane, 2008. "The Dog That Did Not Bark: A Defense of Return Predictability," The Review of Financial Studies, Society for Financial Studies, vol. 21(4), pages 1533-1575, July.
    14. Glosten, Lawrence R & Jagannathan, Ravi & Runkle, David E, 1993. "On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks," Journal of Finance, American Finance Association, vol. 48(5), pages 1779-1801, December.
    15. repec:bla:jfinan:v:58:y:2003:i:3:p:975-1008 is not listed on IDEAS
    16. Engle, Robert, 2002. "Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 339-350, July.
    17. Conrad, Christian & Karanasos, Menelaos, 2010. "Negative Volatility Spillovers In The Unrestricted Eccc-Garch Model," Econometric Theory, Cambridge University Press, vol. 26(3), pages 838-862, June.
    18. Ólan T. Henry & John Sharma, 1999. "Asymmetric Conditional Volatility and Firm Size: Evidence from Australian Equity Portfolios," Australian Economic Papers, Wiley Blackwell, vol. 38(4), pages 393-406, December.
    19. Amélie Charles & Olivier Darné, 2009. "Variance‐Ratio Tests Of Random Walk: An Overview," Journal of Economic Surveys, Wiley Blackwell, vol. 23(3), pages 503-527, July.
    20. Neil L. Fargher & Robert A. Weigand, 1998. "Changes In The Stock Price Reaction Of Small Firms To Common Information," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 21(1), pages 105-121, March.
    21. Doron Avramov & Tarun Chordia & Amit Goyal, 2006. "The Impact of Trades on Daily Volatility," The Review of Financial Studies, Society for Financial Studies, vol. 19(4), pages 1241-1277.
    22. Conrad, Jennifer & Kaul, Gautam, 1988. "Time-Variation in Expected Returns," The Journal of Business, University of Chicago Press, vol. 61(4), pages 409-425, October.
    23. Boudoukh, Jacob & Richardson, Matthew P & Whitelaw, Robert F, 1994. "A Tale of Three Schools: Insights on Autocorrelations of Short-Horizon Stock Returns," The Review of Financial Studies, Society for Financial Studies, vol. 7(3), pages 539-573.
    24. Jegadeesh N. & Titman S., 1995. "Short-Horizon Return Reversals and the Bid-Ask Spread," Journal of Financial Intermediation, Elsevier, vol. 4(2), pages 116-132, April.
    25. French, Kenneth R. & Roll, Richard, 1986. "Stock return variances : The arrival of information and the reaction of traders," Journal of Financial Economics, Elsevier, vol. 17(1), pages 5-26, September.
    26. Fargher, Neil L & Weigand, Robert A, 1998. "Changes in the Stock Price Reaction of Small Firms to Common Information," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 21(1), pages 105-121, Spring.
    27. Badrinath, S G & Kale, Jayant R & Noe, Thomas H, 1995. "Of Shepherds, Sheep, and the Cross-autocorrelations in Equity Returns," The Review of Financial Studies, Society for Financial Studies, vol. 8(2), pages 401-430.
    28. Pedro A. C. Saffi & Kari Sigurdsson, 2011. "Price Efficiency and Short Selling," The Review of Financial Studies, Society for Financial Studies, vol. 24(3), pages 821-852.
    29. John M. Griffin & Patrick J. Kelly & Federico Nardari, 2010. "Do Market Efficiency Measures Yield Correct Inferences? A Comparison of Developed and Emerging Markets," The Review of Financial Studies, Society for Financial Studies, vol. 23(8), pages 3225-3277, August.
    30. Hoque, Hafiz A.A.B. & Kim, Jae H. & Pyun, Chong Soo, 2007. "A comparison of variance ratio tests of random walk: A case of Asian emerging stock markets," International Review of Economics & Finance, Elsevier, vol. 16(4), pages 488-502.
    31. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    32. Conrad, Jennifer & Gultekin, Mustafa N & Kaul, Gautam, 1991. "Asymmetric Predictability of Conditional Variances," The Review of Financial Studies, Society for Financial Studies, vol. 4(4), pages 597-622.
    33. Chordia, Tarun & Sarkar, Asani & Subrahmanyam, Avanidhar, 2011. "Liquidity Dynamics and Cross-Autocorrelations," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 46(3), pages 709-736, June.
    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. Palani-Rajan Kadapakkam & Timothy Krause & Yiuman Tse, 2015. "Exchange traded funds, size-based portfolios, and market efficiency," Review of Quantitative Finance and Accounting, Springer, vol. 45(1), pages 89-110, July.
    2. Stéphane Goutte & David Guerreiro & Bilel Sanhaji & Sophie Saglio & Julien Chevallier, 2019. "International Financial Markets," Post-Print halshs-02183053, HAL.
    3. Kim, Jae & Doucouliagos, Hristos & Stanley, T. D., 2014. "Market efficiency in Asian and Australasian stock markets: a fresh look at the evidence," Working Papers eco_2014_9, Deakin University, Department of Economics.
    4. Baltussen, Guido & van Bekkum, Sjoerd & Da, Zhi, 2019. "Indexing and stock market serial dependence around the world," Journal of Financial Economics, Elsevier, vol. 132(1), pages 26-48.
    5. Rahman, Md. Lutfur & Lee, Doowon & Shamsuddin, Abul, 2017. "Time-varying return predictability in South Asian equity markets," International Review of Economics & Finance, Elsevier, vol. 48(C), pages 179-200.
    6. Wen-Jun Xue & Li-Wen Zhang, 2016. "Stock Return Autocorrelations and Predictability in the Chinese Stock Market: Evidence from Threshold Quantile Autoregressive Models," Working Papers 1605, Florida International University, Department of Economics.
    7. Charles, Amélie & Darné, Olivier & Fouilloux, Jessica, 2011. "Testing the martingale difference hypothesis in CO2 emission allowances," Economic Modelling, Elsevier, vol. 28(1-2), pages 27-35, January.
    8. Xue, Wen-Jun & Zhang, Li-Wen, 2017. "Stock return autocorrelations and predictability in the Chinese stock market—Evidence from threshold quantile autoregressive models," Economic Modelling, Elsevier, vol. 60(C), pages 391-401.
    9. Roberto Ortiz & Mauricio Contreras & Marcelo Villena, 2015. "On the Efficient Market Hypothesis of Stock Market Indexes: The Role of Non-synchronous Trading and Portfolio Effects," Papers 1510.03926, arXiv.org.
    10. Chiao, Chaoshin & Hung, Ken & Lee, Cheng F., 2004. "The price adjustment and lead-lag relations between stock returns: microstructure evidence from the Taiwan stock market," Journal of Empirical Finance, Elsevier, vol. 11(5), pages 709-731, December.
    11. George Milunovich, 2004. "Modeling dependence structure in size-sorted portfolios: A Structural Multivariate GARCH Model," Econometric Society 2004 Australasian Meetings 55, Econometric Society.
    12. Bohl, Martin T. & Pütz, Alexander & Sulewski, Christoph, 2021. "Speculation and the informational efficiency of commodity futures markets," Journal of Commodity Markets, Elsevier, vol. 23(C).
    13. Charles, Amélie & Darné, Olivier, 2009. "The efficiency of the crude oil markets: Evidence from variance ratio tests," Energy Policy, Elsevier, vol. 37(11), pages 4267-4272, November.
    14. Charles, Amélie & Darné, Olivier, 2009. "The random walk hypothesis for Chinese stock markets: Evidence from variance ratio tests," Economic Systems, Elsevier, vol. 33(2), pages 117-126, June.
    15. Sias, Richard W. & Starks, Laura T., 1997. "Return autocorrelation and institutional investors," Journal of Financial Economics, Elsevier, vol. 46(1), pages 103-131, October.
    16. Degiannakis, Stavros & Xekalaki, Evdokia, 2004. "Autoregressive Conditional Heteroskedasticity (ARCH) Models: A Review," MPRA Paper 80487, University Library of Munich, Germany.
    17. Mohammed S. Khaled & Stephen P. Keef, 2014. "On the dynamics of international stock market efficiency," Cogent Economics & Finance, Taylor & Francis Journals, vol. 2(1), pages 1-11, December.
    18. Dong-Hyun Ahn & Jacob Boudoukh & Matthew Richardson & Robert F. Whitelaw, 1999. "Behavioralize This! International Evidence on Autocorrelation Patterns of Stock Index and Futures Returns," NBER Working Papers 7214, National Bureau of Economic Research, Inc.
    19. Pereira da Silva, Paulo, 2021. "Do managers pay attention to the market? A review of the relationship between stock price informativeness and investment," Journal of Multinational Financial Management, Elsevier, vol. 59(C).
    20. Dong-Hyun Ahn & Jacob Boudoukh & Matthew Richardson & Robert Whitelaw, 1999. "Behavioralize This! International Evidence on Autocorrelation Patterns of Stock Index and Futures Returns," New York University, Leonard N. Stern School Finance Department Working Paper Seires 99-040, New York University, Leonard N. Stern School of Business-.

    More about this item

    Keywords

    Exchange Traded Funds; Market efficiency;

    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:tsa:wpaper:0214fin. 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: Wendy Frost (email available below). General contact details of provider: https://edirc.repec.org/data/cbutsus.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.