Volatility and derivatives turnover: a tenuous relationship
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- 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.
- 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.
- Lawrence R. Glosten & Ravi Jagannathan & David E. Runkle, 1993. "On the relation between the expected value and the volatility of the nominal excess return on stocks," Staff Report 157, Federal Reserve Bank of Minneapolis.
- 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.
- 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.
- 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.
- 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.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- 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).
- 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.- 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.
- 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.
- 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.
- Nelson, Daniel B., 1996. "Asymptotic filtering theory for multivariate ARCH models," Journal of Econometrics, Elsevier, vol. 71(1-2), pages 1-47.
- Niklas Wagner & Terry Marsh, 2005.
"Surprise volume and heteroskedasticity in equity market returns,"
Quantitative Finance, Taylor & Francis Journals, vol. 5(2), pages 153-168.
- Niklas Wagner & Terry A. Marsh, 2004. "Surprise Volume and Heteroskedasticity in Equity Market Returns," Econometrics 0409009, University Library of Munich, Germany.
- Wagner, Niklas & Marsh, Terry A., 2004. "Surprise volume and heteroskedasticity in equity market returns," CEFS Working Paper Series 2004-03, Technische Universität München (TUM), Center for Entrepreneurial and Financial Studies (CEFS).
- 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.
- 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.
- 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.
- 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.
- Dohyun Chun & Donggyu Kim, 2021. "State Heterogeneity Analysis of Financial Volatility Using High-Frequency Financial Data," Papers 2102.13404, arXiv.org.
- 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).
- 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.
- 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.
- 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.
- 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.
- Taoufik Bouezmarni & Jeroen V.K. Rombouts & Abderrahim Taamouti, 2009. "A Nonparametric Copula Based Test for Conditional Independence with Applications to Granger Causality," Cahiers de recherche 0927, CIRPEE.
- Bouezmarni, Taoufik & Rombouts, Jeroen V. K., 2009. "A nonparametric copula based test for conditional independence with applications to granger causality," UC3M Working papers. Economics we093419, Universidad Carlos III de Madrid. Departamento de EconomÃa.
- BOUEZMARNI, Taoufik & ROMBOUTS, Jeroen & TAAMOUTI, Abderrahim, 2009. "A nonparametric copula based test for conditional independence with applications to Granger causality," LIDAM Discussion Papers CORE 2009041, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Taoufik Bouezmarni & Jeroen Rombouts & Abderrahim Taamouti, 2009. "A Nonparametric Copula Based Test for Conditional Independence with Applications to Granger Causality," CIRANO Working Papers 2009s-28, CIRANO.
- 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.
- 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.
- Sangram K. Jena, 2016. "Sequential Information Arrival Hypothesis: More Evidence from the Indian Derivatives Market," Vision, , vol. 20(2), pages 101-110, June.
- 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.
- Olan T. Henry & Michael McKenzie, 2003. "The Impact of Short Selling on the Price–Volume Relationship: Evidence from Hong Kong," Department of Economics - Working Papers Series 869, The University of Melbourne.
- Olan T. Henry & Michael McKenzie, 2004. "The Impact of Short Selling on the Price-Volume Relationship: Evidence from Hong Kong," Working Papers 032004, Hong Kong Institute for Monetary Research.
- 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.
- 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.
- Andersen, Torben G. & Bollerslev, Tim & Christoffersen, Peter F. & Diebold, Francis X., 2005. "Volatility forecasting," CFS Working Paper Series 2005/08, Center for Financial Studies (CFS).
- Torben G. Andersen & Tim Bollerslev & Peter F. Christoffersen & Francis X. Diebold, 2005. "Volatility Forecasting," NBER Working Papers 11188, National Bureau of Economic Research, Inc.
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: Martin Fessler (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.