Asset Pricing In The Indian Capital Market: A Study Of Positive And Negative Return Periods
Author
Abstract
Suggested Citation
Download full text from publisher
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Parminder Kaur & Ravi Singla, 2022. "Modelling and forecasting Nifty 50 using hybrid ARIMA-GARCH Model," The Review of Finance and Banking, Academia de Studii Economice din Bucuresti, Romania / Facultatea de Finante, Asigurari, Banci si Burse de Valori / Catedra de Finante, vol. 14(1), pages 7-20, June.
More about this item
Keywords
Asset pricing; CAPM; Empirical testing; Indian capital market; Beta.;All these keywords.
JEL classification:
- G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
Statistics
Access and download statisticsCorrections
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:shc:jaresh:v:4:y:2012:i:1:p:90-101. 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.
We have no bibliographic references for this item. You can help adding them by using 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: Claudiu Chiru (email available below). General contact details of provider: https://edirc.repec.org/data/fcuspro.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.