This study investigates the link between board independence and the quality of community disclosures in annual reports. Using content analysis and a panel dataset from UK FTSE 350 companies the results indicate a statistically significant relationship between board independence, as measured by the proportion of nonexecutive directors, and the quality of community disclosures, while holding constant other corporate governance and firm specific variables. The study indicates that companies with more non-executive directors are likely to disclose higher quality information on their community activities than others. This finding offers important insights to policy makers who are interested in achieving optimal board composition and furthers our understanding of the firm's interaction with its corporate and extended environment through high-quality disclosures. The originality of this paper lies in the fact that it is the first to specifically examine the relationship between outside directors and community disclosures in annual reports. The paper contributes both to the corporate governance and community disclosure literature.JEL codes: M1; M14; L21

This paper focuses on narratives published by UK companies, defined here as the content of annual reports excluding financial statements and notes to accounts. We endeavour to gauge the tone of these narratives by recording the frequency of positive words appearing in the text. We show that the extent of positiveness is related to market reaction around the disclosure date. This conclusion is maintained even after controlling for the financial figures that are reported simultaneously and company-specific characteristics. Consequently, narratives should not be perceived as mere impression management tools, but also as conduits for disseminating price-sensitive information.JEL codes: M41; G12; G14

JEL classification: M41 G12 G14Keywords: Content analysis Annual reports Stock market returns a b s t r a c t This paper uses the tools of computational linguistics to analyze the qualitative part of annual reports of UK listed companies. More specifically, the frequency of words associated with different language indicators is used to forecast future stock returns. We find that two of these indicators, capturing 'activity' and 'realism', predict subsequent price increases, even after controlling for a wide range of factors. Elevated values of these two linguistic variables, however, are not symptomatic of exacerbated risk. Consequently, investors are advised to peruse annual report narratives, as they contain valuable information that may not yet have been discounted in the prices.

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