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EVA is the difference between a firm¡¦s net operating profit after taxes and its cost of invested capital. While in EVA calculation, some adjustments on GAAP are made to avoid potential information distortion. This study is to calculate CSC¡¦s EVA using Stern Stewart & Co.¡¦s approach and to discuss its information contents. The conclusions of this study are presented as follows¡G 1.For CSC, EVA is better than RI and traditional accounting measures of EPS and ROE in explaining stock prices and MVA. 2.The superiority of EVA to RI in explaining stock prices and MVA means that equity equivalent reserve adjustments are needed for calculating EVA. 3.EVA explains share prices and MVA better after CSC privatized, but the sensitivity of share prices and MVA response to EVA has decreased. 4.By stepwise regression tests, contemporary share prices are best explained by lagged EVA. Contemporary EVA cannot predict future share prices. Implication of this study: CSC¡¦s EVA measure has higher correlation with its share prices and MVA, EVA results would be reflected to share prices and MVA. Therefore, investment evaluation, performance appraisal and bonus plan by EVA-based are suitable for CSC and its subsidiaries. Using plenty surplus cash to purchase back shares for reducing capital stocks is the most efficient way for CSC to increase EVA. Disclosing EVA related information may improve company transparence and therefore enhance share prices and shareholders¡¦ wealth.

In this study, for elimination the bias of accounting traditional policy resulted, I use economic value added (EVA) to analyze the performance of Taiwan semiconductor industry. Its findings are as follows: 1.Taiwan semiconductor industry's operating performance is vloatile, the standard deviation of EVA-Spread is more than 14% for years, inter-firm difference in performance is becoming increasingly, and less of 50% of companies is worth to invest. 2.The reason of EVA-Spread performance influence as WACC, mainly be influenced by bank interest rates and industry capital structure changes. And the factors affect ROIC, including the global demand for semiconductor and the real GDP growth rate of Taiwan, Hong Kong, Japan and Singapore, but not related with China¡¦s real GDP growth rate. 3.In Sub-industries, IC design industry is the best performance and steady, but there is obviously different in inter-firm; semiconductor equipment industry has the worst performance and negative EVA-Spread in recent 7-years. IC manufacturing without DRAM has nice performce in recent 5 years and more and more stable. In the orher hand, DRAM industry has performed poorly. That means that corporations have obvious effect on performance in various sub-industries. 4.Focus on the stability of sub-industries performance, the IC design industry has minimum volatility, secondary is lead-frame, photomask and IC packaging and testing industries. And the maximum volatility is DRAM industry and then is DRAM module and semiconductor equipment industry. On the growth, IC packaging and testing, wafer material, manufacturing without DRAM and substrate industries are steady growing industries. Although lead-frame industry is a kind of slow-growing industry, but its EVA-Spreads are minus. Other, flash module and photomask industries are declining industries. 5.Focus on the investing behavior and value creation capcity, when IC packaging and testing, substrate, wafer material and photomask industries increasing their capital, would be helpful to increase EVA-Spread; and it would not be helpful on semiconductor equipment, flash module and IC design industries. 6.It is related with the sub-industries of IC design, substrate, packaging and testing, wafer material, discrete devices, DRAM and flash industries, and IC manufacturing industry without DRAM. It implied that these 7 sub-industries affected by the semiconductor business. It is not related with the sub-industries of semiconductor equipment, DRAM module, lead-frame, photomask and other industries, and the IC manufacturing without DRAM. It implied that these 5 Sub-industries deeply affected by other factors.

Economic Value Added ¡]EVA¡^to be a business performace indicator popularly. It surveys business¡¦ ability of value creation through tranditional accounting net income and capital opportunity cost. In this study, I focus on IC Design industries¡¦ performance by EVA and use ten years data to examine it. The study purposes as below, A. Does Taiwan IC Design Industry owns ability of value creation for share owners ? B. Find out the factors of Taiwan IC Design Industry¡¦s performance. C. Comment on Taiwan IC Design Industry¡¦s performance in various sub-industries D. Does Taiwan IC Design Industry exist variation in various sub-industries ? E. Find out which sub-industry owns the best efficiency and the lowest volatility in the meanwhile. F. Find out the factors of Taiwan IC Design Industry¡¦s ability of value creation. The study finding as below, A. The standard deviation and quartile deviation of Taiwan IC Design Industry are uniformity and it is implying that the normal distribution and probability distribution are similar. B. About 80% of EVA-Spread of Taiwan IC Design companies are positive, it implies that the ability of value creation of Taiwan IC Design Industry is very well. C. According to evidence-based data, the WACC of Taiwan IC Design Industry is influenced by the cost of equity capital. D. The ROIC of Taiwan IC Design Industry is influenced by Taiwan Semi-conductor Inductry¡¦s ROIC and the real GDP growth rate of Hongkong, China and South Korea. E. The capital turnover of Taiwan IC Design Industry does not link with the ROIC of Taiwan IC Design Industry. F. According to evidence-based data, the variation is exist between Taiwan IC Design Sub-industries. G. The result of regression analysis that past years Invested Capital Growth Rate of sub-industries to be independent variable and EVA-Spreads to be dependent variable implys that the EVA-Spread of Taiwan IC Design Industry is not effected by Invested Capital Growth Rate, then we know that Invested Capital is not the main factor of value creation of Taiwan IC Design Industry. H. The Capital Turnover Rate and the Return Rate of EBIT is the main factors of ROIC, they effected the sub-industries by different levels.

Bachelor-Arbeit Univ. St. Gallen, 2004.

Master-Arbeit Univ. St. Gallen, 2006.

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