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摘要
The article investigates stock return dynamics in an environment where executives have an incentive to maximize their compensation by artificially inflating earnings. A principal-agent model with financial reporting and managerial effort is embedded in a Lucas asset-pricing model with periodic revelations of the firm's underlying profitability. The return process generated from the model is consistent with a range of empirical regularities observed in the return data: volatility clustering, asymmetric volatility, and high idiosyncratic volatility. The calibration results further indicate that earnings management can be quantitatively important in accounting for the dynamic patterns of stock returns.
- 出版日期2014-2
- 单位北京大学
