Speculative Dynamics

David M. Cutler (), James Poterba () and Lawrence H. Summers

No 3242, NBER Working Papers from National Bureau of Economic Research, Inc

Abstract: This paper presents evidence on the characteristic speculative dynamics of a wide range of asset returns. It highlights three stylized facts. First, returns tend to be positively serially correlated at high frequency. Second, returns tend to be negatively serially correlated over long horizons. Third, deviations of asset values from proxies for fundamental value have predictive power for returns. These patterns emerge repeatedly in our analyses of stocks, bonds, foreign exchange, real estate, collectibles, and precious metals, and they appear too strong to be attributed only to small sample biases. The pervasive nature of these patterns suggests that they may be lie to inherent features of the speculative process, rather than to variation in risk factors which affect particular markets.

Date: 1990-01
Note: ME EFG
View citations in EconPapers

Downloads: (external link)
http://www.nber.org/papers/w3242.pdf (application/pdf)
Access to the full text is generally limited to series subscribers, however if the top level domain of the client browser is in a developing country or transition economy free access is provided. More information about subscriptions and free access is available at http://www.nber.org/wwphelp.html.

Related works:
Working Paper: SPECULATIVE DYNAMICS (1990)
Journal Article: Speculative Dynamics (1991)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: http://EconPapers.repec.org/RePEc:nbr:nberwo:3242

Ordering information: This working paper can be ordered from
http://www.nber.org/papers/w3242
The price is Paper copy available by mail.

Access Statistics for this paper

More papers in NBER Working Papers from National Bureau of Economic Research, Inc
Address: National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.
Contact information at EDIRC.
Series data maintained by ().