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Journal of Financial Services Research

, Volume 7, Issue 3, pp 199–216 | Cite as

“Investor sentiment” and the closed-end fund puzzle: A 7 percent solution

  • Greggory A. Brauer
Article

Abstract

Lee, Shleifer, and Thaler (1991) argue that the “irrational noise trader” model of DeLong, Shleifer, Summers, and Waldmann (1990) “... is consistent with the published evidence on closed-end fund prices. ...” However, Lee, Shleifer, and Thaler provide no indication of how much of the variability of a closed-end fund's discounts and premiums is due to such “investor sentiment.” Using the signal extraction technique of French and Roll (1986) to measure noise, this article estimates that on average only 7 percent of the variance of a standardized measure of weekly changes in discounts and premiums can be attributed to noise-trading activity. “Investor sentiment,” therefore, seems to account for very little of a closed-end fund's discount and premium variability over time.

Keywords

Standardize Measure Extraction Technique Signal Extraction Investor Sentiment Noise Trader 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Kluwer Academic Publishers 1993

Authors and Affiliations

  • Greggory A. Brauer
    • 1
  1. 1.Fort WorthUSA

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