2007
DOI: 10.2139/ssrn.725761
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Heterogeneous Beliefs and Momentum Profits

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Cited by 46 publications
(45 citation statements)
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“…Table 12 reports results for comparison tests between the less‐ and more‐transparent REITs on the basis of size, price volatility and turnover. These measures are commonly found in the financial economics literature as proxies for heterogeneous beliefs; a recent example can be found in Verado (2009). Size is hypothesized to reduce heterogeneity and is often correlated with analyst coverage, though we argue that size is less susceptible to endogeneity issues than analysts‐based metrics.…”
Section: Heterogeneous Beliefs: a Refinementmentioning
confidence: 79%
“…Table 12 reports results for comparison tests between the less‐ and more‐transparent REITs on the basis of size, price volatility and turnover. These measures are commonly found in the financial economics literature as proxies for heterogeneous beliefs; a recent example can be found in Verado (2009). Size is hypothesized to reduce heterogeneity and is often correlated with analyst coverage, though we argue that size is less susceptible to endogeneity issues than analysts‐based metrics.…”
Section: Heterogeneous Beliefs: a Refinementmentioning
confidence: 79%
“…Consistent with Zhang (2006) and Hong et al (2000), cross‐country differences in momentum are positively related to dispersion in analyst forecasts ( LnDisp ), but are negatively related to firm size ( LnSZ ). In contrast to Zhang (2006) and Verardo (2009), the estimated coefficient on stock market volatility ( LnV ) is negative. Based on joint F ‐tests, we conclude that the coefficients on this group of variables are reliably different from zero both with and without the individualism variable 33…”
Section: Other Determinants Of Cross‐country Momentum: Regressionmentioning
confidence: 83%
“…The variables that we consider have previously been used to proxy for the speed of information flow and information uncertainty. These variables include turnover (examined in Lee and Swaminathan (2000) and Verardo (2009)), firm size (examined in Jegadeesh and Titman (1993), Daniel and Titman (1999), Hong, Lim, and Stein (2000) and Zhang (2006)), analyst coverage (examined in Hong, et al (2000), Zhang (2006), and Verardo (2009)), cash flow volatility (examined in Zhang (2006)), dispersion in analyst forecasts (examined in Zhang (2006) and Verardo (2009)), and return volatility (examined in Zhang (2006) and Verardo (2009)). Following this earlier work we include the following variables: market trading volume ( TN ), average dispersion in analyst forecasts in a country ( Disp ), the average volatility of the individual stocks in a market ( V ), the volatility of the growth of cash flows ( Cfvol ) computed from each country's cash flow component of the Datastream global index, the median firm size in a country ( SZ ), and the average number of analysts following each stock in a country ( Ana ) 32…”
Section: Other Determinants Of Cross‐country Momentum: Regressionmentioning
confidence: 99%
“…(1998), and Hong and Stein (1999) have developed behavioral models of momentum profits. Jegadeesh and Titman (2001), George and Hwang (2004), and Verardo (2009) have refined these theories and collected additional empirical evidence 1…”
Section: Introductionmentioning
confidence: 99%