1997
DOI: 10.1016/s0361-3682(96)00026-8
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An examination of market efficiency: Information order effects in a laboratory market

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Cited by 71 publications
(29 citation statements)
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“…In many cases, however, markets do not mitigate biases (Camerer, 1992). In fact, the Tuttle et al (1997) finding of significant recency effects in market prices suggests that markets cannot be counted on to eliminate the particular bias that we study. Camerer et al (1989) and Ganguly et al (1994) provide other examples of biases that persist in market settings (e.g.…”
Section: Discussionmentioning
confidence: 74%
“…In many cases, however, markets do not mitigate biases (Camerer, 1992). In fact, the Tuttle et al (1997) finding of significant recency effects in market prices suggests that markets cannot be counted on to eliminate the particular bias that we study. Camerer et al (1989) and Ganguly et al (1994) provide other examples of biases that persist in market settings (e.g.…”
Section: Discussionmentioning
confidence: 74%
“…The research result is consistent with that predicted that individuals who have a high level of confidence that will tend to ignore the information available, the impact on individuals with a high level of confidence will be spared from the effects of the information sequence. A number of previous researches (Pinsker, 2007;Baird and Zelin II, 2000;Tuttle, Coller and Burton, 1997) examined the effect of information order and enclosure pattern in investment judgment.…”
mentioning
confidence: 99%
“…12 As will be discussed in more detail later, there are an equal number of positive and negative disclosures for each round. Therefore, consistent with Tuttle et al (1997), we deem a net offset of all disclosures against one another. dichotomy of short (16 or less) vs. long (17 or more) series of reporting periods (as defined by Hogarth and Einhorn, 1992; see footnote #7) and are designed specifically for the user characteristics' hypotheses.…”
Section: Methodsmentioning
confidence: 86%
“…1016/j.jaccpubpol.2009.07.005 are driven by information-based characteristics or user-based characteristics. We focus on nonprofessional investors because prior research has shown that this investor classification is a significant market subset and can potentially affect market outcomes (Delong et al, 1989(Delong et al, , 1990(Delong et al, , 1991Tuttle et al, 1997). Using prior research from the materiality, investor behavior, and psychology literatures to support our predictions, we conduct a series of experimental markets to address the above goals.…”
Section: Introductionmentioning
confidence: 99%