This study investigates the influence of ownership structure and board characteristics on discretionary accruals and real earnings management using the data of A-shares in Chinese

This paper aims to exam the connection among intellectual capital, corporate governance and firm performance. Firm performance measured by Tobin’s Q is an important indicator. Business function such as R&D, advertising, and human resources, after adjusting for sales, remains important factors. Especially, management team should be aware of using leverage because excessive debt usage leads to poor Tobin’s Q. Investors should be cautious of capital structure when forming their investment portfolios. Although the influences of ownership structure on firm performance are not consistent, the effects are significant. Finally, whether there is independent director and the holdings ratio of board of director definitely affect the firm performance.

In this paper, we implement methodology to empirically identify how individual trader can make profits by applying combined strategies of identifying fundamental and technical risk management. Our data is from Taiwan Economic Journal Database (TEJ), and covering information from 1991 to 2009. Proper risk management skills employed increase the momentum portfolio returns. We explore investment opportunity by examining firm level of financial factors, including profitability, operating efficiency, accounting conservatism and solvency. When investors obtain quotations and identify potential stocks, volume data of the key attributes of stocks usually goes overlooked as price-to-earnings ratio, market size, or even ex-dividend date even comes in priority. In order to justify the optimal timing of investment, we use the covariance between price and volume as a buying signal to filter portfolios for technical analysis. Result confirms selected portfolios earn significant excess returns which beat the market with long term holding period.

The article explores the effects of financial depth and market structure on banking stability for 24 advanced economies and 18 emerging economies over the period of 2003–2010. We examine how commonality in banking stability varies from emerging markets to advanced nations. Our findings suggest possible explanations for what affects the banking stability with economic transitions on the dynamics evolving from emerging to advanced economies.

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