My Account Log in

1 option

Risk Aversion and Clientele Effects / Douglas W. Blackburn, William N. Goetzmann, Andrey D. Ukhov.

NBER Working papers Available online

View online
Format:
Book
Author/Creator:
Blackburn, Douglas W.
Contributor:
National Bureau of Economic Research.
Goetzmann, William N.
Ukhov, Andrey D.
Series:
Working Paper Series (National Bureau of Economic Research) no. w15333.
NBER working paper series no. w15333
Language:
English
Physical Description:
1 online resource: illustrations (black and white);
Place of Publication:
Cambridge, Mass. National Bureau of Economic Research 2009.
Summary:
We use traded options on growth and value indices to test for clientele differences in risk preferences. Value investors appear to have exhibited a higher average level of risk aversion than growth investors for two different time periods in the late 1990's and early 2000's. We construct a model of time-varying clientele preferences that allows investors with different levels of risk-aversion to switch between investment styles conditional upon the evolution of returns and risk. The model makes predictions about the autocorrelations structure of measured risk parameters and also about the autocorrelation and cross-autocorrelation of fund flows by style. Empirical tests of the model provide evidence consistent with the existence of style switchers--investors who move funds between growth and value securities. We construct trading strategies in the value and growth index options markets that effectively buy risk from one clientele and sell it to another. These strategies generated modest positive returns over the period of study.
Notes:
Print version record
September 2009.

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 If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Library Catalog Using Articles+ Library Account