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A System Platform of Multi-Factor ModelTsai, Tsung-Hsun 07 July 2009 (has links)
This research combines relational database framework and quantitative equity portfolio models based on the Barra Risk Model Handbook standard steps to design a database and computer platform for multi-factor risk management tasks. The multi-factor model facilitates fast search and efficient selection of descriptors with explanatory power for future stock returns.
The design of database is divided into three steps. First, descriptors are calculated and daily-update modules constructed. This study finds 48 key descriptors which play important roles in explaining stock returns of Taiwan. Second, entity relational model is applied to sort out linkages between pieces of important information in the factor model. Lastly, database auto-run procedures are setup to update the latest raw data on a monthly basis. Model parameter update and portfolio rebalancing is hence made seamless to meet practical operation demand for such a platform.
The development of the Multi-factor risk model is divided into five main steps. (1) Finding significant descriptors. (2) Forming common factors from descriptors. (3) Developing a multi-factor return model. (4) Developing a multi-factor risk model. (5) Running performance analysis and back-testing.
The empirical results show that the average adjusted R-squared of the MFM model is 0.5 during the period of 1998/04~2005/11. For combining descriptors into common factors, we run factor analysis. The multi-collinearity problem existing in the descriptors is well taken care of by such procedures. We use the exponentially weighted averaging method to compute the factor returns and forecast stock ranking. A half-life of 24 months appears to deliver the best performance in Taiwan stock market.
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A semantic data model for intellectual database accessWatanabe, Toyohide, Uehara, Yuusuke, Yoshida, Yuuji, Fukumura, Teruo 03 1900 (has links)
No description available.
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滿足CMMI軟體專案管理資料模型設計之研究董基鑑, Tung, Chi-chien Unknown Date (has links)
由於台灣的軟體廠商多屬中小企業,因此在軟體開發專案過程中,常受限於
時程、成本上的壓力,無法遵循標準的軟體開發流程,也無法將專案經驗累積成
為公司的知識庫。CMMI 是目前國際上被高度認同的軟體開發流程模式,對提升
軟體發展能力及改善軟體品質相當有助益,可協助組織達到降低成本、掌控開發
時程與確保品質等目標,因此本研究將以滿足CMMI 專案規劃的標準為目標,設
計專案管理的資料模型。
本研究將規劃合乎CMMI的企業專案管理資料模式,使其有系統地記錄專案在
規劃時期所產出的一些資料及文件。當進行新的專案時,藉由參考先前專案的文
件或數據,可使專案在初步估計的過程中更加的順利,透過累積專案經驗也可增
加整體專案成功的機率。
以下為本文各章節的簡介,在第一章中,將確定研究的背景、動機、及目的,
據此進行第二章的文獻探討,分析CMMI與PMBOK對專案管理各自規範的實務作
法。接著在第四章中,先將PMBOK專案規劃流程轉為資料模型,再以CMMI專案規
劃的觀點來檢驗,分析是否滿足其實務的作法。第五章將分析個案公司專案文件
與訪談的結果,最後,在第六章將對個案公司提出建議,並提出改良後的資料模
型。
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