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Heaping is a phenomenon in which reported numbers tend to appear in increments that are important for cultural or other reasons. This study reports that heaping is present in monthly earnings reports for publicly listed companies in Taiwan. We find that Taiwanese firms tend to report monthly...
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We investigate the relationship between corporate social responsibility (CSR) and the cost of capital. In general, our results suggest that firms with CSR awards have lower cost of capital. In terms of firms' common risk factors, both book-to-market ratio and leverage are positively related to...
Persistent link: https://www.econbiz.de/10010775209
This study examines the effect of the implementation of corporate governance regulations on cosmetic earnings management in developed and emerging markets respectively. Using Benford's Law, the analysis employs 84,870 positive earnings observations for all publicly listed US and Taiwan companies...
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Most scholars have indicated corporations using accounting conservatism to reduce earnings manipulation, although certain scholars believe that firms have more incentive to increase earnings manipulation. Institutional investors play an important external monitoring role, and affect firm's...
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We examine the rounding phenomenon (called <i>window dressing</i>) in financial reporting of U.S. high-tech and low-tech firms. By requiring that investments in research and development be expensed as incurred, the generally accepted accounting principles provide low-tech firms with a larger set of...
Persistent link: https://www.econbiz.de/10011094391
This study investigates the effect of window dressing by Taiwanese firms on investors' stock returns. The second digit of the earnings reported as earnings before interest and tax, earnings after interest and tax, or earnings per share is found to occasionally serve as the reference point. In...
Persistent link: https://www.econbiz.de/10010602177
The purpose of this paper is to propose a hybrid model which combines locally linear embedding (LLE) algorithm and support vector machines (SVM) to predict the failure of firms based on past financial performance data. By making use of the LLE algorithm to perform dimension reduction for feature...
Persistent link: https://www.econbiz.de/10010643292