Along with the growth of Taiwan¡¦s capital markets, the public tend to serve stocks as the main investment tool. Underwriting markets are also monitored by investors. Generally, Taiwanese firms¡¦ stocks possess ¡§honeymoon periods¡¨ after they went public, in which the stocks kept gaining prices for consecutive days. Due to the phenomenon, companies tend to went public once the requirements are satisfied. On the other hand, investors are willing to purchase such stocks, thus let the underwriting market prosper. The aspect of initial public offerings (IPOs) is also gaining attention of researchers. This research aims at examining the relation between Taiwanese firms¡¦ IPOs¡¦ initial return and the Monday effect and Intra-month effect. This thesis also tried to discover that whether Taiwanese IPOs possess differences between size and industry groups. The results indicate that Taiwanese IPOs have lower return if issued in Mondays, which is the Monday effect. The reason may be that the closed market in weekends allowed investors to spend more time to search and to analyze information and to hinder themselves from overreaction. In addition, when issuing companies are determining underwriting prices, they tend to serve discount as a risk compensation for the uninformed investors, thus when investors have more time to analyze their investment decisions, the issuing companies need not to discount to induce investors.

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.

<p>The purpose of this study is to analyze Swedish hedge funds in terms of pursued investment strategies, risks and returns.</p><p>The study deals with a large number of quantitative data and delimitations were used to obtain a sample that better fulfills the purpose of this paper. The time frame chosen for increas-ing validity and reliability was almost four years. Furthermore, the study uses secondary data due to difficulties and costs as-sociated with obtaining primary data though this is not consi-dered as lowering the quality of the study.</p><p>The theory section starts by presenting the differences between hedge funds and mutual funds and then focusing on different hedge fund strategies, risks associated with hedge funds and fi-nally risk and return measurements. This section provides an overview for the empirical findings and analysis.</p><p>In the empirical findings and analysis, statistical calculations of and Analysis the risk measurements standard deviation, Sharpe ratio, track-ing error and correlation are conducted for the sample. The re-sults are related to the hedge funds strategies. Later on the strategies are weighted against each other. Finally, all strategies are compared to OMXS to find the investors‟ most appropriate investment structure.</p><p>After categorizing the different hedge funds with respect to pursued strategies, the result shows how there are clear dispari-ties in risk and returns for the different strategies. We found indications of a significant relationship between high return and high risk as well as between low return and low risk.</p><p> </p>

Univ., Diss.--Heidelberg, 2006. / Literaturverz. S. 135 - 160.

Magisterarbeit--Universität München.

Thesis (M.Sc.)--University of Alberta, 2009. / "Fall 2009." At head of title: University of Alberta. Title from pdf file t.p. (viewed on Dec. 4, 2009). "A thesis submitted to the Faculty of Graduate Studies and Researchin partial fulllment of the requirements for the degree of Master of Science Mathematical Finance, Department of Mathematical and Statistical Sciences" Includes bibliographical references.

Thesis supervisor: B Ravikumar. Includes bibliographic references (p. 132-135).

Thesis (Ph. D.)--University of California, San Diego, 2001. / Vita. Includes bibliographical references.

Thesis (Ph. D.)--University of Washington, 2001. / Vita. Includes bibliographical references (leaves 84-89).