The effect of assests write on the firm's performance / Min-Tsung Cheng
This study uses empirical evidence to determine if management recognition asset write-offs improves firm performance. The examination focuses on take-a-bath and information content strategies. The available research on management write-offs behavior presents conflicting results, some of which are in...
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Universiti Teknologi MARA Cawangan Selangor,
2016-06.
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LEADER | 00000 am a22000003u 4500 | ||
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001 | repouitm_31005 | ||
042 | |a dc | ||
100 | 1 | 0 | |a Cheng, Min-Tsung |e author |
245 | 0 | 0 | |a The effect of assests write on the firm's performance / Min-Tsung Cheng |
260 | |b Universiti Teknologi MARA Cawangan Selangor, |c 2016-06. | ||
500 | |a https://ir.uitm.edu.my/id/eprint/31005/1/AJ_MIN%20TSUNG%20CHENG%20MAR%20B%2016.pdf | ||
520 | |a This study uses empirical evidence to determine if management recognition asset write-offs improves firm performance. The examination focuses on take-a-bath and information content strategies. The available research on management write-offs behavior presents conflicting results, some of which are interesting. First, for samples positioned at the 1%, 10%, 20%, 90% and 99% quantile level of firm performance ranking, a number of write-offs was found to positively affect the firm's future performance, supporting the information content hypothesis. However, least squares estimates indicated a negative relationship. Second, under the least squares approach, firm performance was improved in the period following the write-offs at various quantiles, both of which support the take-a-bath hypothesis. Third, testing the equality of individual points can ensure the requisites for quantile analysis and most two-by-two matching coefficients had significant odds. | ||
546 | |a en | ||
690 | |a Multivariate analysis. Cluster analysis. Longitudinal method | ||
690 | |a Regression analysis. Correlation analysis. Spatial analysis (Statistics) | ||
655 | 7 | |a Article |2 local | |
655 | 7 | |a PeerReviewed |2 local | |
787 | 0 | |n https://ir.uitm.edu.my/id/eprint/31005/ | |
787 | 0 | |n http://arionline.uitm.edu.my/ojs/index.php/MAR/article/view/563 | |
856 | 4 | 1 | |u https://ir.uitm.edu.my/id/eprint/31005/ |z Link Metadata |