On the Effects of Private Information on Volatility
AbstractWe study the impact of private information on volatility in financial markets. We develop a comprehensive framework to investigate this link while controlling for the effects of both public information (such as macroeconomic news releases) and private information on prices and the effects of public information on volatility. Using a high-frequency 30-year U.S. Treasury bond futures data set, we find that private information variables, such as order flow and bid-ask spread, are statistically and economically significant explanatory variables for volatility. Private information is more important than public information, with the effect of a shock to order flow on volatility being four times larger than the effect of a surprise in the most influential macroeconomic news announcement. Moreover, we document an interaction between public and private information effects on volatility, with the impact of order flow on volatility depending positively on the dispersion of analysts' expectations about macroeconomic announcements. Finally, we find that the effect of private information on volatility is larger during contractions than during expansions.
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Bibliographic InfoPaper provided by Tinbergen Institute in its series Tinbergen Institute Discussion Papers with number 11-077/4.
Date of creation: 12 May 2011
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Information; macroeconomic announcements; order flow; Treasury futures; heterogeneity;
Other versions of this item:
- Anne Opschoor & Michel van der Wel & Dick van Dijk & Nick Taylor, 2012. "On the Effects of Private Information on Volatility," CREATES Research Papers 2012-08, School of Economics and Management, University of Aarhus.
- G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
- E1 - Macroeconomics and Monetary Economics - - General Aggregative Models
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- Paolo Pasquariello & Clara Vega, 2006.
"Informed and strategic order flow in the bond markets,"
International Finance Discussion Papers
874, Board of Governors of the Federal Reserve System (U.S.).
- Paolo Pasquariello & Clara Vega, 2007. "Informed and Strategic Order Flow in the Bond Markets," Review of Financial Studies, Society for Financial Studies, vol. 20(6), pages 1975-2019, November.
- de Goeij, Peter & Marquering, Wessel, 2006. "Macroeconomic announcements and asymmetric volatility in bond returns," Journal of Banking & Finance, Elsevier, vol. 30(10), pages 2659-2680, October.
- He, Yan & Lin, Hai & Wang, Junbo & Wu, Chunchi, 2009. "Price discovery in the round-the-clock U.S. Treasury market," Journal of Financial Intermediation, Elsevier, vol. 18(3), pages 464-490, July.
- Aruoba, S. BoraÄŸan & Diebold, Francis X. & Scotti, Chiara, 2009.
"Real-Time Measurement of Business Conditions,"
Journal of Business & Economic Statistics,
American Statistical Association, vol. 27(4), pages 417-427.
- Tom Doan, . "RATS programs to replicate Aruoba, Diebold and Scotti JBES 2009," Statistical Software Components RTZ00002, Boston College Department of Economics.
- S. Boragan Aruoba & Francis X. Diebold & Chiara Scotti, 2007. "Real-Time Measurement of Business Conditions," PIER Working Paper Archive 07-028, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
- Chiara Scotti & S.Boragan Aruoba & Francis X. Diebold & University of Maryland, 2006. "Real-Time Measurement of Business Conditions," Computing in Economics and Finance 2006 387, Society for Computational Economics.
- S. Boragan Aruoba & Francis X. Diebold & Chiara Scotti, 2008. "Real-time measurement of business conditions," Working Papers 08-19, Federal Reserve Bank of Philadelphia.
- S. Boragan Aruoba & Francis X. Diebold & Chiara Scotti, 2007. "Real-time measurement of business conditions," International Finance Discussion Papers 901, Board of Governors of the Federal Reserve System (U.S.).
- S. Boragan Aruoba & Francis X. Diebold & Chiara Scotti, 2008. "Real-Time Measurement of Business Conditions," NBER Working Papers 14349, National Bureau of Economic Research, Inc.
- 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.
- Robert F. Engle & Jose Gonzalo Rangel, 2008. "The Spline-GARCH Model for Low-Frequency Volatility and Its Global Macroeconomic Causes," Review of Financial Studies, Society for Financial Studies, vol. 21(3), pages 1187-1222, May.
- Alessandro Beber & Michael W. Brandt, 2010. "When It Cannot Get Better or Worse: The Asymmetric Impact of Good and Bad News on�Bond�Returns in Expansions and Recessions," Review of Finance, European Finance Association, vol. 14(1), pages 119-155.
- Manaster, Steven & Mann, Steven C, 1996. "Life in the Pits: Competitive Market Making and Inventory Control," Review of Financial Studies, Society for Financial Studies, vol. 9(3), pages 953-75.
- Brenner, Menachem & Pasquariello, Paolo & Subrahmanyam, Marti, 2009. "On the Volatility and Comovement of U.S. Financial Markets around Macroeconomic News Announcements," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 44(06), pages 1265-1289, December.
- Heejoon Han & Dennis Kristensen, 2013.
"Asymptotic theory for the QMLE in GARCH-X models with stationary and non-stationary covariates,"
CeMMAP working papers
CWP18/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Heejoon Han & Dennis Kristensen, 2012. "Asymptotic Theory for the QMLE in GARCH-X Models with Stationary and Non-Stationary Covariates," CREATES Research Papers 2012-25, School of Economics and Management, University of Aarhus.
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