This study examines whether short-sellers and financial analysts develop complementary information about future earnings and returns and assesses whether investors can improve predictions made by each of these intermediaries using information provided by the other. The first main result is that the relative short interest ratio (shares sold short divided by total shares outstanding) contains information that is useful for predicting future earnings, beyond (i.e., incremental to) the information in analyst forecasts. I also find that analysts do not fully incorporate short interest information into their forecasts and demonstrate that analyst forecasts can be improved (i.e., can be made to be less biased and more accurate) by adjusting for short interest information. The second main result is that analyst forecast revisions contain information that is useful for predicting future abnormal returns, beyond the information in the relative short interest ratio. I demonstrate that portfolios of stocks formed based on consistent signals from short-sellers and analysts produce abnormal return spreads that are significantly larger than spreads produced by portfolios formed using signals from short-sellers alone. Collectively, the evidence suggests that short-sellers and analyst provide complementary information about future firm performance that is useful to investors.

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Abstract Employee stock option had been discussed for long time and had become very popular topic for current corporates¡¦ financial management. The importance of its option value model becomes hot topic now. The recommended model based on FASB No. 123 may not be helpful to see its payoff distortion from risk aversion and employee exit rate factors. We choose some companies at Taiwan which use employee stock option as their financial tool and study how both risk aversion and employee exit rate impact their value with modified binomial tree method. The results show that risk aversion factor is more sensitivity and cause option payoff change its value within very narrow input range, while employee exit rate also change option value sigfincantly after 10% exit rate range. Hence. Evaluation of risk aversion and employee exit rate factors become important. Companies need to search for optimal solution of those factors to achieve optimal option valuation and its relative incentive effect in order to retain their employee.

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The Leslie¡¦s method was employed for the estimation of stock size and catchability coefficient of Sakura shrimp on the southwestern coast of Taiwan from Nov 2002 to May 2004. After analyzing the stock size and catchability coefficient and then applying those estimated value for the optimal conduction of open-access and bioeconomic optimum, the evaluation of the variation under both conductions were available and simulations run by the catch data also can be obtained and useful in comparing with the real situation. By assuming all bioeconomic parameters varied within a reasonable range, we did the comparative static analysis and expected to shed the light on the impact those parameters brought to the stock size.

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Abstract During the late 1980¡¦s, the stock market and real estate market in Taiwan both went into enormous booms. The Taiwan Stock Market Weighted Price Index (TSMWPI) and real estate prices both reach the highest peaks that they never reach before. It seems that there is a certain relationship between the stock market and real estate market. Therefore, this thesis proposes to study the following two propositions: (1) if the stock market and real estate market are integrated, then a certain degree of asset substitution will occur. The price of the assets in the two markets will interacted due to the asset substitution. And this price interaction will reduce the effect of risk diversifying. (2) But if the two markets are segmented, the effect the diversifying risk will get significant increasing as long as having the assets of the two markets included in your portfolio simultaneously. Past studies commonly investigated the relationship between the price series in these two markets, and therefore make the conclusions of their relationships. However, any individual price series cannot represent the activities of the whole market. Consequently, we adopt the Arbitrage Pricing Model (APM) to examine the relationships between the stock market and the real estate market in Taiwan. Our study is the first one to discuss this topic from the view of the market. Our study also tests causality relationship between the price series, but we have some improvements compared to the past studies. Our model includes an exogenous variable which captures the influence affecting both the stock market and real estate market at the same time. The test of casualty is also based on the cointegration theory. We test four cities in Taiwan, including the Taipei City, Taipei County, Taichung City and Kaohsiung City. Our findings suggest that the house price of the Taipei City and the Taipei County are co-integrated with the TSMWPI, that is, there is a long-term equilibrium relationship between the two cities and TSMWPI. The test of Granger Causality indicates that TSMWPI only Granger causes the house price of the Taipei City. All other causality relationships are not existed in these four cities. Finally, we use the APM to examine the relationship between the two markets and find that no evidence of relationship is existed between the stock and the housing market, suggesting that the stock market and the housing market in Taiwan are segmented. Key Words: Real Estate Market, Stock Market, Causality, CAPM

Abstract Following the development of human economical activity, people have been gathering in the urban area. People¡¦s needs for space, environment, safety, convenience are increasing. People request not only just arrival at destination, but also a more comfortable, safer, more environment protection, more humanized transportation. So, for that reason, rolling stock transportation is becoming more and more important, and how to develop a comfortable, safe, environment - protective, humanized rolling stock is a very important issue today. Taiwan rolling stock market is very restrictive because it is close and small. Few people have studied in this field. For the coming 10 years, the situation will be changed because of the High Speed Railway system, Light Rail Track system, and Metro system. TRA Commuter system are flourishing. Also the government supports the Industrial Cooperation Program. In the Paper, I introduce the TQM concept from some Master such as Deming, Bill Creech, Crosby, Takuchi, and some TQM prize criteria, setting up a researching structure following the Bill Creech ¡§ Five Pillars of TQM¡¨, taking Saaty AHP (Analytical Hierachy Program) as a tool, consulting the expert of the rolling stock, seeking the priority of major factor of rolling stock researching quality management system.

There are 506 announcements of stock repurchases from 1999.8.9 to the end of 2001 after Taiwan adopting the law of treasury stock. It¡¦s obviously that companies issued in the stock market need the law because the percent of applying is up to 37.23%. We study the announcements during 1999.8.9 to 2001.12.31 and try to find out the motives of stock repurchases. For understanding the effect of market prediction, we try to set up a prediction model and separate the result of market prediction to right and wrong. Regarding the factor of affecting the cumulative abnormal return after announcement, we argue that it¡¦s quite similar with cash dividend announcement as companies signal the good news of becoming better in the future. It infers that the effect of announcement relates to former accounting information. The result show as following: (1) the motives to stock repurchases are consistent with optimal leverage ratio hypothesis, dividend or tax hypothesis. The companies would intend to stock repurchase when the board of directors had higher collateral ratio or the enterprise ever used the subsidiary company to repurchase the stock. (2) we can¡¦t prove that the unexpected announcement has higher abnormal return than the expected one. (3) we also can¡¦t prove that the former accounting information affect the abnormal return, but we can see the it positively relates to the free cash flow, undervaluation, and the degree of information asymmetry.

Abstract The accounting method about employee stock bonus has become popular issue recently. The most disputable problem is: whether employee stock bonus debts expense? Does the employee stock bonus expense measure by face value or market value? If employee stock bonus debts expense, technologic firms have negative affect on net income, even makes them unprofitable. Technologic firms worry about their stock price decreased by recording employee stock bonus expense, so they disagree with this accounting method. To understand investors¡¦ reaction about recording employee stock bonus expense, I link the valuation on cooperate equity with accounting method of employee stock bonus by using Ohlson (1995) valuation model. The period of data is during 2001. I investigate the market¡¦s perception of the economic effect of employee stock bonus on firm value for a sample of 61 profitable technologic companies by using ¡§Retained Earning Method¡¨, ¡§Face Value Method¡¨ and ¡§Market Value Method¡¨ and observe investors how to value ¡§Employee Stock Bonus Expense¡¨. My results suggest that if technologic firms debt employee stock bonus expense by using ¡§Market Value Method¡¨, market has the highest valuation on firms¡¦ value. In addition, the market appears to value these firms¡¦ ¡§Employee Stock Bonus Expense¡¨ not as an expense but as an intangible asset. Key Words: Employee Stock Bonus, equity valuation, Ohlson Model