Whether Cross-Listing, Stock-specific and Market-wide Calendar Events impact Intraday Volatility Dynamics? Evidence from the Indian Stock Market using High-frequency Data
Using high-frequency stock price data, we investigate the effect of various stock-specific and market-wide events on intraday volatility dynamics in the Indian market. Modeling intraday volatility dynamics using FFF regressions, we examine the effect of – (a) cross-listing, (b) weekends and holidays, (c) scheduled temporary trading halts, and (d) derivatives’ expiry day, on intraday volatility dynamics. We find that Indian stock market exhibits “reverse J” shaped intraday volatility with much higher intraday variation than what has been reported in other markets. The intraday variation is more in the case of large cap stocks relative to small cap stocks. Higher volatility is also observed in the first one-hour of trade after weekends, in the first half-an-hour after the holidays, in the last one-hour of trade before the weekends. Temporary scheduled trading halts cause the volatility to rise when the market re-opens. The stocks, cross-listed elsewhere, exhibit higher volatility in the first 45 minutes of trade relative to other stocks. Volatility of the stocks with derivative contracts increases in the last half-an-hour trade on the expiry day, the time period relevant for estimation of the settlement price of the derivative contracts, but not in other time intervals. While our results are mostly along the lines of previous findings, the use of high-frequency data allows us to locate precisely the time-intervals which are affected by the investigated calendar events.
|Date of creation:|
|Date of revision:|
|Contact details of provider:|| Phone: 91 79 2630 7241|
Fax: 91 79 2630 6896
Web page: http://www.iimahd.ernet.in/publications
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Muller, Ulrich A. & Dacorogna, Michel M. & Olsen, Richard B. & Pictet, Olivier V. & Schwarz, Matthias & Morgenegg, Claude, 1990. "Statistical study of foreign exchange rates, empirical evidence of a price change scaling law, and intraday analysis," Journal of Banking & Finance, Elsevier, vol. 14(6), pages 1189-1208, December.
- Amihud, Yakov & Mendelson, Haim, 1987. " Trading Mechanisms and Stock Returns: An Empirical Investigation," Journal of Finance, American Finance Association, vol. 42(3), pages 533-53, July.
- Torben G. Andersen & Tim Bollerslev, 1998. "Deutsche Mark-Dollar Volatility: Intraday Activity Patterns, Macroeconomic Announcements, and Longer Run Dependencies," Journal of Finance, American Finance Association, vol. 53(1), pages 219-265, 02.
- Wood, Robert A & McInish, Thomas H & Ord, J Keith, 1985. " An Investigation of Transactions Data for NYSE Stocks," Journal of Finance, American Finance Association, vol. 40(3), pages 723-39, July.
- Harris, Lawrence, 1986. "A transaction data study of weekly and intradaily patterns in stock returns," Journal of Financial Economics, Elsevier, vol. 16(1), pages 99-117, May.
- A. Abhyankar & D. Ghosh & E. Levin & R.J. Limmack, 1997.
"Bid-ask Spreads, Trading Volume and Volatility: Intra-day Evidence from the London Stock Exchange,"
Journal of Business Finance & Accounting,
Wiley Blackwell, vol. 24(3), pages 343-362.
- A Abhyankar & D Ghosh & E Levin & R J Limmack, 1995. "Bid-Ask Spreads, Trading Volume and Volatility: Intraday Evidence from the London Stock Exchange," Working Papers Series 95/11, University of Stirling, Division of Economics.
- Andersen, Torben G. & Bollerslev, Tim & Cai, Jun, 2000. "Intraday and interday volatility in the Japanese stock market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 10(2), pages 107-130, June.
- Andersen, Torben G & Bollerslev, Tim, 1997.
" Heterogeneous Information Arrivals and Return Volatility Dynamics: Uncovering the Long-Run in High Frequency Returns,"
Journal of Finance,
American Finance Association, vol. 52(3), pages 975-1005, July.
- Torben G. Andersen & Tim Bollerslev, 1996. "Heterogeneous Information Arrivals and Return Volatility Dynamics: Uncovering the Long-Run in High Frequency Returns," NBER Working Papers 5752, National Bureau of Economic Research, Inc.
- Anat R. Admati, Paul Pfleiderer, 1988. "A Theory of Intraday Patterns: Volume and Price Variability," Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 3-40.
- Per Alkeback & Niclas Hagelin, 2004. "Expiration day effects of index futures and options: evidence from a market with a long settlement period," Applied Financial Economics, Taylor & Francis Journals, vol. 14(6), pages 385-396.
- Chan, K C & Christie, William G & Schultz, Paul H, 1995. "Market Structure and the Intraday Pattern of Bid-Ask Spreads for NASDAQ Securities," The Journal of Business, University of Chicago Press, vol. 68(1), pages 35-60, January.
- Brock, William A. & Kleidon, Allan W., 1992. "Periodic market closure and trading volume : A model of intraday bids and asks," Journal of Economic Dynamics and Control, Elsevier, vol. 16(3-4), pages 451-489.
- Taylor, Nicholas, 2004. "Trading intensity, volatility, and arbitrage activity," Journal of Banking & Finance, Elsevier, vol. 28(5), pages 1137-1162, May.
When requesting a correction, please mention this item's handle: RePEc:iim:iimawp:11461. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ()
If references are entirely missing, you can add them using this form.