US market risk premium used in 2011 by professors, analysts and companies: A survey with 5.731 answers
AbstractThe average Market Risk Premium (MRP) used in 2011 by professors for the USA (5.7%) is higher than the one used by analysts (5.0%) and companies (5.6%). The standard deviation of the MRP used in 2011 by analysts (1.1%) is lower than the ones of companies (2.0%) and professors (1.6%). Most previous surveys have been interested in the Expected MRP, but this survey asks about the Required MRP. The paper also contains the references used to justify the MRP, comments from 58 persons that do not use MRP, and comments of 110 that do use MRP. The comments illustrate the various interpretations of the required MRP and its usefulness. Professors, analysts and companies that cite Ibbotson as their reference use MRP for USA between 2% and 14.5%, and the ones that cite Damodaran as their reference use MRP between 2% and 10.8%.
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.
Bibliographic InfoPaper provided by IESE Business School in its series IESE Research Papers with number D/918.
Length: 29 pages
Date of creation: 01 May 2011
Date of revision:
equity premium; required equity premium; expected equity premium; historical equity premium;
Find related papers by JEL classification:
- G12 - Financial Economics - - General Financial Markets - - - Asset Pricing
- G31 - Financial Economics - - Corporate Finance and Governance - - - Capital Budgeting; Fixed Investment and Inventory Studies
- M21 - Business Administration and Business Economics; Marketing; Accounting - - Business Economics - - - Business Economics
This paper has been announced in the following NEP Reports:
- NEP-ALL-2011-05-30 (All new papers)
- NEP-CFN-2011-05-30 (Corporate Finance)
- NEP-FMK-2011-05-30 (Financial Markets)
- NEP-UPT-2011-05-30 (Utility Models & Prospect Theory)
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Peter Cauwels, Didier Sornette, . "Quis pendit ipsa pretia: facebook valuation and diagnostic of a bubble based on nonlinear demographic dynamics," Working Papers ETH-RC-11-007, ETH Zurich, Chair of Systems Design.
- Peter Cauwels & Didier Sornette, 2011. "Quis pendit ipsa pretia: facebook valuation and diagnostic of a bubble based on nonlinear demographic dynamics," Papers 1110.1319, arXiv.org, revised Nov 2011.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Silvia Jimenez).
If references are entirely missing, you can add them using this form.