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Corporate Social Responsibility, Stakeholder Risk, and Idiosyncratic Volatility

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Idiosyncratic volatility (IV) is regarded as a measure of firm specific information and has been shown to be correlated with ex post lower stock returns. We explore the nexus between IV and corporate social responsibility (CSR) and document that IV is positively correlated with net aggregate CSR and is negatively correlated with a CSR specific risk factor (namely stakeholder risk). Our findings show that: (i) less (more) reliance on market information (firm specific information) implies more difficulty in predictive accuracy; (ii) negative correlation between IV and exposure to the above mentioned CSR risk dimension contributes to explain the puzzle of the negative excess returns of high IV portfolios widely documented in the literature. Our findings are consistent with the hypothesis that CSR reduces flexibility in answering to productive shocks via reduction of stakeholders’ wellbeing, thereby making earnings less predictable in conventional ways, even though they are less exposed to risk of conflicts with stakeholders.

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  • Leonardo Becchetti & Rocco Ciciretti & Iftekhar Hasan, 2013. "Corporate Social Responsibility, Stakeholder Risk, and Idiosyncratic Volatility," CEIS Research Paper 285, Tor Vergata University, CEIS, revised 16 Dec 2013.
  • Handle: RePEc:rtv:ceisrp:285
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    Keywords

    idiosyncratic volatility; corporate social responsibility; stakeholder risk.;
    All these keywords.

    JEL classification:

    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • F30 - International Economics - - International Finance - - - General
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

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