In response to accounting scandals, market control systems (e.g. regulations related to internal control systems) have become more stringent in order to restore investors’ confidence in capital markets. Tightening control systems has triggered a fierce debate on its effect on both capital markets and the real economy. My dissertation studies how mitigating earnings management by tightening cont...

This paper examines the relationship of analysts’ coverage, forecasting errors and earnings management. It corroborates the role of analysts as gatekeepers by finding that analysts enhance transparency and reduce the scope of earnings management. To identify analysts’ coverage we used the I/B/E/S, from where we also obtained information on the consensus projections of analysts for listed Brazil...

Commonly used Jones-type discretionary accrual models applied in quarterly settings do not adequately control for nondiscretionary accruals that naturally occur due to firm growth. We show that the relation between quarterly accruals and backward-looking sales growth (measured over a rolling four-quarter window) and forward-looking firm growth (market-to-book ratio) is non-linear. Failure to co...

This paper is to explore that if ownership structure exactly affects on earnings management, especially on how to constrain executive compensation motivation to earnings management in the emerging market of China. We use five variables to quantify various corporate governance mechanisms including ownership structure and executive compensation for 1024 listed firms sample within two years. We fi...

Earnings manipulation has become a widespread practice for US corporations. However, most studies in the literature focus on whether certain incentives would facilitate managers to manipulate earnings and there has been little evidence documenting the consequences of earnings manipulation. This paper fills this gap by examining how current accruals affect future earnings (the accrual effect) an...

This study examines the association between different institutional investors’ ownership and earnings management practice using a neural networks approach. It investigates this relationship for a sample of 121 US firms. We examine also the effect of institutional ownership on the level of accruals management of firms having different information environment (S&P 500 versus non S&P 500). Results...