My Account Log in

1 option

Stock Market Forecastability and Volatility: A Statistical Appraisal / N. Gregory Mankiw, David H. Romer, Matthew D. Shapiro.

NBER Working papers Available online

View online
Format:
Book
Author/Creator:
Mankiw, N. Gregory.
Contributor:
National Bureau of Economic Research.
Romer, David H.
Shapiro, Matthew D.
Series:
Working Paper Series (National Bureau of Economic Research) no. w3154.
NBER working paper series no. w3154
Language:
English
Physical Description:
1 online resource: illustrations (black and white);
Other Title:
Stock Market Forecastability and Volatility
Place of Publication:
Cambridge, Mass. National Bureau of Economic Research 1989.
Summary:
This paper presents and implements statistical tests of stock market forecastability and volatility that are immune from the severe statistical problems of earlier tests. Although the null hypothesis of strict market efficiency is rejected, the evidence against the hypothesis is not overwhelming. That is, the data do not provide evidence of gross violations of the conventional valuation model.
Notes:
Print version record
October 1989.

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

Find

Home Release notes

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Find catalog Using Articles+ Using your account