On the estimation of stock-market reaction to corporate layoff announcements
AbstractNo abstract is available for this item.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by Elsevier in its journal Review of Financial Economics.
Volume (Year): 13 (2004)
Issue (Month): 4 ()
Contact details of provider:
Web page: http://www.elsevier.com/locate/inca/620170
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.:
- Engle, Robert F & Ng, Victor K, 1993.
" Measuring and Testing the Impact of News on Volatility,"
Journal of Finance,
American Finance Association, vol. 48(5), pages 1749-78, December.
- Robert F. Engle & Victor K. Ng, 1991. "Measuring and Testing the Impact of News on Volatility," NBER Working Papers 3681, National Bureau of Economic Research, Inc.
- Oded Palmon & Huey-Lian Sun & Alex P. Tang, 1997. "Layoff Announcements: Stock Market Impact and Financial Performance," Financial Management, Financial Management Association, vol. 26(3), Fall.
- Pagan, Jose A. & Soydemir, Gokce A., 2001. "Response asymmetries in the Latin American equity markets," International Review of Financial Analysis, Elsevier, vol. 10(2), pages 175-185.
- Reyes, Mario G., 1999. "Size, time-varying beta, and conditional heteroscedasticity in UK stock returns," Review of Financial Economics, Elsevier, vol. 8(1), pages 1-10, June.
- Brown, Stephen J. & Warner, Jerold B., 1985. "Using daily stock returns : The case of event studies," Journal of Financial Economics, Elsevier, vol. 14(1), pages 3-31, March.
- Loughran, Tim & Ritter, Jay R., 2000. "Uniformly least powerful tests of market efficiency," Journal of Financial Economics, Elsevier, vol. 55(3), pages 361-389, March.
- Bollerslev, Tim & Chou, Ray Y. & Kroner, Kenneth F., 1992. "ARCH modeling in finance : A review of the theory and empirical evidence," Journal of Econometrics, Elsevier, vol. 52(1-2), pages 5-59.
- Karafiath, Imre, 1988. "Using Dummy Variables in the Event Methodology," The Financial Review, Eastern Finance Association, vol. 23(3), pages 351-57, August.
- Laivi Laidroo & Zana Grigaliuniene, 2012. "Testing for asymmetries in price reactions to quarterly earnings announcements on Tallinn, Riga and Vilnius Stock Exchanges during 2000-2009," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 12(1), pages 61- 86, July.
- Mazouz, Khelifa & Saadouni, Bharim, 2007. "New evidence on the price and liquidity effects of the FTSE 100 index revisions," International Review of Financial Analysis, Elsevier, vol. 16(3), pages 223-241.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Wendy Shamier).
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 references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.