IDEAS home Printed from https://ideas.repec.org/a/bis/bisqtr/0303g.html
   My bibliography  Save this article

Volatility and derivatives turnover: a tenuous relationship

Author

Listed:
  • Serge Jeanneau
  • Marian Micu

Abstract

It is often presumed that higher market volatility begets more active trading in derivatives markets. A number of empirical studies have confirmed that such a positive relationship between volatility and activity exists. However, those studies have usually drawn on analyses that apply mainly to daily or intraday data. Very few studies have considered the existence of a possible relationship between volatility and volume from one month to the next. Moreover, the nature of the trading that could give rise to such a relationship is generally left unexplained. In this special feature, we examine the relationship between volatility and monthly activity in exchange-traded derivatives contracts. First, we discuss the various trading motives that would lead to such a relationship. We distinguish between hedging motives and information-based motives. Moreover, we distinguish between motives that tend to generate a relationship between volatility and volume on a day-to-day basis from those that would create a relationship on a month-to-month basis. We then examine the issue empirically. We look at two different markets, that for S&P 500 stock index contracts and that for 10-year US Treasury note contracts. We further look at two types of contract for each market, futures and options, and two measures of activity, turnover and open interest. We also use two conceptually distinct measures of market uncertainty, namely actual (or historical) and implied volatility. Our results generally show a tenuous relationship between volatility and monthly activity in our selected contracts. More specifically, there is no statistically significant relationship between volatility and turnover in 10-year US Treasury note futures and options contracts. However, there does seem to be a negative relationship between volatility and turnover in S&P 500 stock index contracts. Such results stand in contrast to much of the earlier literature on the relationship between financial market volatility and activity. We suggest an interpretation of these results.

Suggested Citation

  • Serge Jeanneau & Marian Micu, 2003. "Volatility and derivatives turnover: a tenuous relationship," BIS Quarterly Review, Bank for International Settlements, March.
  • Handle: RePEc:bis:bisqtr:0303g
    as

    Download full text from publisher

    File URL: https://www.bis.org/publ/qtrpdf/r_qt0303g.pdf
    Download Restriction: no

    File URL: https://www.bis.org/publ/qtrpdf/r_qt0303g.htm
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Terrence F. Martell & Avner S. Wolf, 1987. "Determinants of trading volume in futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 7(3), pages 233-244, June.
    2. Bradford Cornell, 1981. "The relationship between volume and price variability in futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 1(3), pages 303-316, September.
    3. Karpoff, Jonathan M., 1987. "The Relation between Price Changes and Trading Volume: A Survey," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 22(1), pages 109-126, March.
    4. 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.
    5. Michael J. Fleming & Eli M. Remolona, 1999. "Price Formation and Liquidity in the U.S. Treasury Market: The Response to Public Information," Journal of Finance, American Finance Association, vol. 54(5), pages 1901-1915, October.
    6. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    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. Anna Conte & Chiara Oldani, 2006. "Money Demand: Theories And Estimation Methods. A Fractional Cointegration Application," Economia, Societa', e Istituzioni, Dipartimento di Economia e Finanza, LUISS Guido Carli, vol. 0(3).
    2. Claudiu Tiberiu Albulescu & Daniel Goyeau, 2011. "Financial Volatility And Derivatives Products: A Bidirectional Relationship," Analele Stiintifice ale Universitatii "Alexandru Ioan Cuza" din Iasi - Stiinte Economice (1954-2015), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 2011, pages 57-69, july.

    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. Kenneth Yung & Yen-Chih Liu, 2009. "Implications of futures trading volume: Hedgers versus speculators," Journal of Asset Management, Palgrave Macmillan, vol. 10(5), pages 318-337, December.
    2. Alizadeh, Amir H. & Tamvakis, Michael, 2016. "Market conditions, trader types and price–volume relation in energy futures markets," Energy Economics, Elsevier, vol. 56(C), pages 134-149.
    3. Mehmet Dicle & John Levendis, 2014. "The day-of-the-week effect revisited: international evidence," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 38(3), pages 407-437, July.
    4. Nelson, Daniel B., 1996. "Asymptotic filtering theory for multivariate ARCH models," Journal of Econometrics, Elsevier, vol. 71(1-2), pages 1-47.
    5. Niklas Wagner & Terry Marsh, 2005. "Surprise volume and heteroskedasticity in equity market returns," Quantitative Finance, Taylor & Francis Journals, vol. 5(2), pages 153-168.
    6. Sarika Mahajan & Balwinder Singh, 2008. "An Empirical Analysis of Stock Price-Volume Relationship in Indian Stock Market," Vision, , vol. 12(3), pages 1-13, July.
    7. Pramod Kumar Naik & Puja Padhi, 2015. "Stock Market Volatility and Equity Trading Volume: Empirical Examination from Brazil, Russia, India and China (BRIC)," Global Business Review, International Management Institute, vol. 16(5_suppl), pages 28-45, October.
    8. Doojin RYU & Hyein SHIM, 2017. "Intraday Dynamics of Asset Returns, Trading Activities, and Implied Volatilities: A Trivariate GARCH Framework," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 45-61, June.
    9. Charutha, S. & Gopal Krishna, M. & Manimaran, P., 2020. "Multifractal analysis of Indian public sector enterprises," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 557(C).
    10. Hayashida, Minoru & Ono, Hiroyuki, 2016. "Tax reforms and stock return volatility: The case of Japan," Journal of Asian Economics, Elsevier, vol. 45(C), pages 1-14.
    11. Paul D. McNelis & Carrie K.C. Chan, 2004. "Deflationary Dynamics in Hong Kong: Evidence from Linear and Neural Network Regime Switching Models," Working Papers 212004, Hong Kong Institute for Monetary Research.
    12. Dohyun Chun & Donggyu Kim, 2022. "State Heterogeneity Analysis of Financial Volatility using high‐frequency Financial Data," Journal of Time Series Analysis, Wiley Blackwell, vol. 43(1), pages 105-124, January.
    13. Ching-Chun Wei, 2009. "An Empirical Analysis of the Taiwan Institutional Trading Volume Volatility Spillover on Stock Market Index Return," Economics Bulletin, AccessEcon, vol. 29(2), pages 1264-1275.
    14. Taoufik Bouezmarni & Jeroen V.K. Rombouts & Abderrahim Taamouti, 2011. "Nonparametric Copula-Based Test for Conditional Independence with Applications to Granger Causality," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(2), pages 275-287, October.
    15. Park, Beum-Jo, 2010. "Surprising information, the MDH, and the relationship between volatility and trading volume," Journal of Financial Markets, Elsevier, vol. 13(3), pages 344-366, August.
    16. Smales, Lee A. & Yang, Yi, 2015. "The importance of belief dispersion in the response of gold futures to macroeconomic announcements," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 292-302.
    17. Sangram K. Jena, 2016. "Sequential Information Arrival Hypothesis: More Evidence from the Indian Derivatives Market," Vision, , vol. 20(2), pages 101-110, June.
    18. Ólan T. Henry & Michael McKenzie, 2006. "The Impact of Short Selling on the Price-Volume Relationship: Evidence from Hong Kong," The Journal of Business, University of Chicago Press, vol. 79(2), pages 671-692, March.
    19. Bollerslev, Tim & Engle, Robert F. & Nelson, Daniel B., 1986. "Arch models," Handbook of Econometrics, in: R. F. Engle & D. McFadden (ed.), Handbook of Econometrics, edition 1, volume 4, chapter 49, pages 2959-3038, Elsevier.
    20. Torben G. Andersen & Tim Bollerslev & Peter F. Christoffersen & Francis X. Diebold, 2005. "Volatility Forecasting," PIER Working Paper Archive 05-011, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.

    More about this item

    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:bis:bisqtr:0303g. 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: Christian Beslmeisl (email available below). General contact details of provider: https://edirc.repec.org/data/bisssch.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.