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Textile And Apparel Executives Predict Future Business Performance

2013/5/3 22:18:00 16

Textile Enterprises Textile And Apparel Textile Executives

is there any deviation in the weight of information sources or information we expect to construct? How can we adjust and improve the accuracy of our judgements? Let us begin with our queries on this topic. 
 investment point: 
 2012 annual report large area misjudged, the expected accuracy is relatively low. At the end of the year, 80% of listed companies are expected to deviate from their expectations. In the early part of 2012, there were 19 misleading judgements in direction, accounting for 56% of the total sample size. There are 12 companies whose forecast deviations are above 50 percentage points, accounting for 35%. In 2012, the company with an erroneous direction predicted an average price decline of -31.31%, and the company with an expected absolute value of over 50% dropped by an average of 36.14%. At present, the market prediction accuracy is relatively low, and the expected adjustment is also lagging. Second, accurate expectations have a higher guiding significance for the two level market investment. How to improve the accuracy of prediction is worth considering. 
 the company's performance expectation is generally composed of the following four major information complexes: the self judgment of the listed company, the three party data of the industry association, the grassroots research of the terminal, and the researcher's own research and judgement. At present, if a listed company has made any prediction of future performance targets, the consistent expectation of the general market for company performance will be based on this. It can be said that the current market's prediction of the company's performance and the caliber information of the listed company is the most important basis. 
 Listing < a href= "http://www.91se91.com/news/ > > Company Executives < /a > the accuracy of future judgement is not high. Through the analysis of the achievement of equity incentive performance of 17 listed companies, we conclude that companies prefer to offer equity incentive plans when the industry boom is high, and most of them have higher expectations for the future. When a listed company predicts the future, it is not accurate to predict future industry trends. In 2012, industry demand changed considerably, and export and domestic demand shrunk. < a target= "_blank" href= "http://www.91se91.com/" > textile > /a > < a target= "_blank" href= "http://www.91se91.com/" > clothing > _blank > equity incentive the overall compliance rate was only 44%, and the completion rate of equity incentive was not high. Company executives are not very accurate in judging future performance. 
 executives of listed companies can not expect long term performance. From the above statistics, we can see that the judgment of the listed company for the future is likely to be less than 7 months. < a href= "http://www.91se91.com/news/index_c.asp > > textile company < /a > the performance prediction time is shorter. Under the dramatic changes of the industry, the shortest one is less than 3 months, while other enterprises are less than 5 months. The predictable time is shorter. 
 the prosperity of the whole industry has a greater impact on the company's performance than the company's ability to control its own performance. We believe that when most of the listed companies of textile and clothing are listed, the excellent enterprises in the industry will be in the period of maturity to maturity from the stage of their own development. The quality of the company's development is closely related to the industry in which the company is located. The prosperity of the whole industry has a greater impact on the company's performance than the company's ability to control its own performance. In the future, we will strengthen the research of the subdivision industry, identify the characteristics of the industry, and improve the accuracy of the company's performance prediction and the judgement of the general trend through the upstream and downstream industries.