Return to search

Tax-loss selling and managerial discretion

This thesis examines the relationship between tax-loss selling (TLS), where investors with taxable gains sell stocks that have declined in value just before the fiscal year-end to generate offsetting tax losses, and managers?? incentives to influence stock prices, either through increased disclosure or by engaging in upwards earnings management. Firms whose stock prices represent greater potential tax losses in investors?? portfolios at year-end are predicted to increase their disclosure level in June to prevent further share price falls due to TLS, and have higher levels of accruals. Using the number of discretionary, market-sensitive news releases in the Signal G announcement database to measure disclosure frequency, this thesis finds that, for a sample of 14,713 firm-year observations drawn from all ASX firms for the years 1994 to 2007, stocks with larger negative returns have higher disclosure in June, after controlling for size, performance, risk and external financing dependence. This is particularly true of small mining and exploration companies that are more reliant on voluntary disclosure as a vehicle for lowering information asymmetry. This increased disclosure does not appear to contribute to the higher July returns earned by stocks that experienced significant TLS in June. Disclosure frequency is negatively associated with the magnitude of operating and total accruals, suggesting that earnings management is less likely for firms with higher disclosure. There is also evidence that smaller firms with poor stock price performance have higher levels of operating accruals and thus may be more likely to engage in earnings management.

Identiferoai:union.ndltd.org:ADTP/258263
Date January 2009
CreatorsSherry, Samuel, Accounting, Australian School of Business, UNSW
PublisherPublisher:University of New South Wales. Accounting
Source SetsAustraliasian Digital Theses Program
LanguageEnglish
Detected LanguageEnglish
Rightshttp://unsworks.unsw.edu.au/copyright, http://unsworks.unsw.edu.au/copyright

Page generated in 0.0028 seconds