因應全球化時代之來臨，為提升會計資訊的透明度及跨國間之可比較性，國際財務報導準則(IFRS)已然成為全球資本市場共通的會計語言。我國為提升企業與資本市場國際競爭力及降低企業赴海外籌資成本，將自2013年起分階段直接採用（Adoption）IFRS。 針對無活絡市場公開報價之權益商品公允價值衡量議題，本研究目的擬以投資者的立場，透過IFRS與我國現行財務會計準則間之主要會計原則差異，探討對自由現金流量折現法評價模型及評價步驟之影響，以提供未來投資者於應用自由現金流量折現法進行企業評價時之參考。 本研究顯示在IFRS與我國現行財務會計準則並存適用下，不論於進行同公司跨期間或不同公司同期間之分析比較時，需先辨識重大會計差異所帶來之潛在影響，並掌握因衡量方法的改變、IFRS 1各項豁免選擇、抑或表達上的重分類等，對財務報表資訊內涵所產生之影響，進而衡酌對自由現金流量評價模式的參數設定調整，以及可能改變對未來現金流量金額、時點及不確定性之預期，如此，方能獲致IFRS所帶來之提升財務資訊可比較性及高透明度等效益。 / With economic globalization, International Financial Reporting Standards(IFRS) is becoming the single set of globally accepted accounting principles to increase the transparency and comparative of financial statements. In keeping with international trends and to increase competitiveness, companies as the 1st phase in Taiwan will adopt IFRS in 2013. In this study, from the investor point of view, discussed the major differences between IFRS and ROC GAAP, which impact on the discounted free cash flow model and the evaluation steps. To provide the reference for investors when evaluating the company with the discounted free cash flow model. This study shows that under IFRS and ROC GAAP coexist, it must recognize the potential impact of the significant accounting differences firstly whether in the analysis of the inter-period of the same company or different companies during the same period. Due to control the impact of the information content of financial statements from the change of measurement、how to use exemptions provided by IFRS1 or expression on the re-classification, in consideration of adjusting the parameters of the discounted free cash flow model, and may change the expected amount of future cash flows , point and uncertainties. And then, we will attain the benefit such as enhance comparative and transparency of financial information from adopting IFRS.

雲端的盛行使得人們做任何事都要透過網路，但是總會有些有心人士使用一些惡意程式來創造攻擊或通過網絡連接竊取資料。為了防止這些網路惡意攻擊，我們必須不斷檢查網路流量資料，然而現在這個雲端時代，網路的資料是非常龐大且複雜，若要檢查所有網路資料不僅耗時而且非常沒有效率。 本研究使用TensorFlow與多個圖形處理器(Graphics Processing Unit, GPU)來實作類神經網路(Artificial Neural Networks, ANN)機制，用以分析網路流量資料，並得到一個可以判斷正常與異常網路流量的偵測規則，也設計一個實驗來驗證我們提出的類神經網路機制是否符合網路流向異常偵測的時效性和有效性。 在實驗過程中，我們發現使用更多的GPU可以減少訓練類神經網路的時間，並且在我們的實驗設計中使用三個GPU進行運算可以達到網路流量異常偵測的時效性。透過該方法得到的初步實驗結果，我們提出機制的結果優於使用反向傳播算法訓練類神經網路得到的結果。 / The prosperity of the cloud makes people do anything through the Internet, but there are people with bad intention to use some malicious programs to create attacks or steal information through the network connection. In order to prevent these cyber-attacks, we have to keep checking the network traffic information. However, in the current cloud environment, the network information is huge and complex that to check all the information is not only time-consuming but also inefficient. This study uses TensorFlow with multiple Graphic Processing Units (GPUs) to implement an Artificial Neural Networks (ANN) mechanism to analyze network traffic data and derive detection rules that can identify normal and malicious traffics, and we call it Network Traffic Anomaly Detection (NTAD). Experiments are also designed to verify the timeliness and effectiveness of the derived ANN mechanism. During the experiment, we found that using more GPUs can reduce training time, and using three GPUs to do the operation can meet the timeliness in NTAD. As a result of this method, the experiment result was better than ANN with back propagation mechanism.

本研究探討2001年1月至2016年12月內所有以台股市場為標的之開放式股票型基金，透過多元迴歸模型與交易策略法深入的了解資金流量與過去和未來一期報酬率之間的關聯性，並從中探討台灣投資人的行為偏好。 透過多元迴歸模型與交易策略法可以發現代表台灣投資人投資偏好的資金淨流量變動率普遍有追逐過去績效表現優異之基金的傾向，接著探討資金淨流量變動率與未來一期報酬率的關聯後發現，台灣共同基金市場上當期資金淨流量變動率越高的基金，普遍在未來短期內所獲得的報酬率有較低的現象，然而隨著未來報酬期間的拉長，此現象便逐漸消失，最主要的解釋原因為台灣共同基金投資人普遍有追逐過去績效表現優異之基金的傾向，使過去績效表現較好的基金容易湧入過多的申購資金，而這些基金雖然在過去一期該基金經理團隊可以憑藉著自己所擅長的產業與個股經驗，挑選到具有成長潛力的投資標的，但隨著過去一期的優異表現，這些基金的投資組合持股價格已經來到相對高點，難以持續擁有良好的報酬表現，加上基金經理團隊手上仍握有許多等待投資的現金，最終可能迫使基金經理團隊必須開始涉入自己不熟悉的產業與個股，增加錯誤投資的機會而使績效表現變差，然而長期而言，該基金經理團隊仍可以憑藉著自己的專業投資能力，重新尋找到優良投資標的，消化過去湧入的投資資金，改善過去短期績效表現不佳的狀況。 / This study explored all open-ended equity funds targeting Taiwan’s stock market from January 2001 to December 2016. Through multiple regression model and trading strategy method, we got an in-depth understanding of the relationship between fund flows and both past and future returns, and the characteristics of the trading behavior of Taiwan’s investors were further investigated. By using multiple regression model and trading strategy method we found evidence that Taiwan’s investors have the tendency to chase mutual funds which had superior performance in the last period. Following this issue, we also found that funds with higher fund inflow generally had lower return in the short term time horizons, but the phenomenon would gradually disappear when the time horizons were extended. The main explanation of this phenomenon is that Taiwan’s investors generally have the tendency to buy mutual funds which gave superior return in the last period, so that funds with better performance in the past are prone to attract subscription. Although in the last period, these funds’ management team could rely on their own industrial and individual stock-picking experience, selecting those stocks with high growth potential. However, with an outstanding performance in previous period, stock prices in those fund’s portfolio had come to a relatively high point, so it’s hard to maintain good performance. With a vast sum of fund inflow, the management team may also be forced to invest in the industries or companies that they’re unfamiliar with, causing the possibility of wrong investment. However, when the time horizons were extended, the management team could digest the inflow of investment funds by rediscovering good investment targets and improve their fund performance.

最近，金融科技(FinTech)和行動金融服務，吸引越來越多的目光。新的創新金融科技服務，改變了金融服務的消費行為。行動網路的發展使人們能夠隨時隨地的享受行動銀行的服務已經是個不爭的事實。然而，由於無線網路先天的特性以及行動裝置的移動性，使行動金融的服務品質受到網路不穩定的影響。而且，隨著Bank 3.0時代的來臨，將會有大量的使用者同時使用行動金融服務，特別是在股市開盤以及重大訊息揭露的時候。因著大量使用者瞬間湧入，以及無線網路不穩定的影響，交易系統的效能很可能會時好時壞，所以無法滿足即時金融市場的需求。 本論文中，我們提出「行動銀行訊息即服務」的框架，使系統能夠很容易的水平擴充，並且能夠輕易的實現雙向通訊和雙向交易等多項行動金融服務。為了達到最少成本追求最大利益的目的，我們發展了能夠適應突發流量以及網路不穩定性的任務分配演算法，使得不用增加額外硬體成本的前提下改善系統效能。然後，為了實驗欲模擬大量行動裝置的使用者，我們觀察真實網路的特性並發明了網路延遲自相關模型來驗證我們提出的任務分配演算法。結果顯示，透過此任務分配演算法，確實能夠有效改善系統資源管理的能力。最後，本研究將系統佈署於真實網路環境當中，並且發現進行同樣實驗的結果與採用網路延遲自相關模型的實驗結果一致。因此，本研究間接驗證了網路自相關模型的正確性，以及證明本任務分配演算法，在突發流量和網路不穩定的即時行動金融服務環境下，能有效降低系統響應時間。 / FinTech (financial technology) and mobile financial services are getting more and more attention recently. New innovative FinTech services change the consumption behavior for financial services. It is an indisputable fact development of the mobile Internet allows people to enjoy mobile banking everywhere and anytime. However, due to the nature of wireless networking and the mobility of the mobile device, the quality of mobile financial service will be affected by network instability. Moreover, with the coming of Bank 3.0, a huge amount of users would be in the mobile service of finance simultaneously, especially when the instances of the stock market opening or disclosure of highly important financial message. As the result of bursty traffic and network instability, the performance of transaction system is up and down, making it tough to satisfy the demand of real-time financial markets. In this thesis, we propose a “Mobile Banking Messaging as a Service Framework” that can easily scale out and fulfill functions comprising Bilateral Communication, Bilateral Trading, and many other mobile financial services. To pursuit of the greatest benefit along with investment of the least resources, we develop the task assignment algorithm which can adapt the system to bursty traffic and unstable networks to improve performance for free. Then, in order to simulate a large number of mobile users, we observe the characteristic of real-world network delay and propose a network delay autocorrelation model to verify our task assignment algorithm. The results of experiment show that we could actually use our task assignment algorithm to improve the ability of the system to manage resource. Finally, we deploy our system in a real-world network delay environment and find that the results obtained in the real condition are the same with our simulation results. Therefore, this research can indirectly verify the correctness of the network delay autocorrelation model, and prove that our task assignment algorithm can effectively reduce the system response time for real-time mobile financial service system under bursty traffic and unstable networks.

我國為重建金融環境，引進源自美國的資產證券化（asset securitization），近二年制訂金融資產證券化條例與不動產證券化條例，至今已成功發行八件案例。若能將資產證券化範圍擴大適用於智慧財產權與相關債權，或可解決目前企業以智慧財產權融資擔保所面臨的困境，不但有助於我國產業籌措營運資金和提升發展，亦能增加投資人金融商品之選擇與效益。 智慧財產權證券化（IP securitization）是近年國外重點發展之產物，其涉及財務、會計、賦稅、法律等多重領域。本文研究範圍與焦點，首先是國外文獻與實際案例（美國與日本）之整理與介紹，探求智慧財產權證券化可行性的成功要素與風險。其次是我國現行法如何針對智慧財產權證券化進行修正，包括基礎法制的真實買賣與特殊目的機構之獨立性問題，以及有關智慧財產權的特殊議題，例如適格資產範圍、權利瑕疵與衝突、特殊保證機制、智慧財產權鑑價等。本文目的，希冀提供未來我國制訂相關法規和實務配套措施之參考，能使金融機構與企業能瞭解智慧財產權證券化之可行性。 智慧財產權證券化成功因素，關鍵在於現金流量之估算與掌握，我國若要發展智慧財產權證券化，除了建立具有公信力的智慧財產權鑑價機制外，初期仍需倚靠外部信用增強機制，例如美國電影業的完工保證、智慧財產權訴訟保險與韓國信用保證基金的運作模式，以加強投資人對於此種商品之信心，此外財務規劃、風險管理與專業人才責任，亦是整備基本環境之重點。 藉由外國經驗與檢討，我國要進行智慧財產權證券化實須待一段時間建設，然而隨著金融商品推陳出新、金融市場快速變遷、智慧財產權產業擴充整合，以及智慧財產權融資擔保等發展，未來主管機關和立法機構勢必需修正有關真實買賣之法律要件、特殊目的機構獨立性、將來債權轉讓移轉時點等問題，並放寬開發型案件得證券化、加強著作權公示與對抗制度、建立基礎資產公告與交易資料庫等，是時，將為資產證券化議題再次注入活水，開創一番新局。

企業評價對於投資決策有重大的影響，不論是發行上市、或是機構投資人選擇投資標的、乃至於併購或是清算，企業評價都是一切的基礎。再加上近來各界對於節能產業的重視，發光二極體封裝產業正如日中天的高度成長，如何能夠正確地衡量此產業的企業價值，實是機構投資人或是一般大眾關心的課題。此外，實務界長久以來詬病證管會所採用的承銷價格公式，乃是結合不同評價模式的方式來評斷發行股票公司之正確股票價值，但實證結果往往發現此公式會造成股價被低估的現象。 本研究以台灣地區共六家發光二極體封裝產業上市櫃公司為例，以其民國八十七年至九十四年的財務數據和資料，以五年為一階段，利用七種不同的評價模式：三階段成長現金流量折現法、三階段成長本益比法、三階段成長股價淨值比法、三階段股價銷售額比法、市場比較本益比法、市場比較股價淨值比法以及市場比較股價銷售額比法，預期九十二年初至九十五年初之理論實際股價，並與實際的市價作一比較，利用THEIL所提出的THEIL’S U值來比較不同評價模型與實際市價差距的績效，以選出最適合發光二極體封裝產業之企業評價模式。 本研究更進一步探討長久以來被實務界所詬病的綜合評價模式（結合不同的評價模式），試著經過第一階段實證結果的篩選，利用簡單權重結合本產業最佳和次佳的企業評價模式，以得到一個評價績效更勝於最佳評價模式的綜合評價法。 實證結果顯示，發光二極體最佳評價模型乃為市場比較股價銷售額比法(THEIL’S U=0.3515)，而三階段成長現金流量折現法，則適用於產業較穩定的情況下。突破性的發現則為，利用THEIL’S U值來比較評價績效而選出的最佳和次佳模型，在分別給予簡單權重（ex：50％：50％、60％：40％等）的情況下所得到的綜合評價法，其THEIL’S U值（<0.3515）比當初單一最佳評價法--市場比較股價銷售額比法(0.3515)還要來得低，顯示綜合評價法的有效性的確存在，並值得各界參考。此外，亦發現給予最佳評價法較大權重時，更可以進一步提昇綜合評價法之績效。此結果反駁了實務界長久以來對於綜合評價法的不信任，也給予證管會一個修正承銷價格公式的方向。跨類型的評價法結合並不是不可行，但是需要第一階段各個評價法的評價績效驗證，讓較佳的評價模式彼此結合以產生資訊互補的效果。

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本研究從了解台達電公司的背景，整體環境，產品的前景與市場獲利，公司結構和近來動向，技術合作生產方面，重要轉投資活動，達電與上下游廠商之間的關係和在產業中的優劣勢分析出發，對公司的背景有了透澈的了解後，開始以既有的財務報表 (民國76~87年) 為基礎對達電預估民國88~92年的財務報表，並且以學術的評估公司價值理論套用進來，如資產評價模型 (CAPM)，競爭優勢期間 (Competitive advantage period)，股利折現模型 (Gordon model)，附加經濟價值模型 (EVA)，修正附加經濟價值模型 (REVA)，自由現金流量法 (Free cash flow)，指標盈餘法 (indexed earnings)，本益比 (P/E)、市價淨值比 (P/B) 和市價銷售比法 (P/S) 等，以了解這些模型對達電的適用性，並對上述的模型提出其是否適用的原因，作為日後評價類似台灣科技產業的參考。 此實例研究重點仍在如何將公司預估的財務報表作一系性地連結，並且建立在對其基本面的理解，完成此紮實的基礎再套用不同的評價理論，結論是以自由現金流量和相對價值模型: 本益比 (P/E)、市價淨值比 (P/B) 和市價銷售比法 (P/S)，這些模型較能和市場價值近似。解釋原因: 自由現金流量和科技產業的特性有關，能對其大量的折舊稅值現金流入和儘量發放股票股利代替現金分配的因素加以考量，本益比 (P/E)、市價淨值比 (P/B) 和市價銷售比法 (P/S) 則因台灣有不少性質近似的同業和本身的歷史報表作為比較基礎，故使用起來亦方便且有效。 第一章 緒論 第一節 研究動機與目的 第二節 研究範圍與限制 第三節 研究架構 第二章 文獻探討 第三章 研究達電公司 第一節 達電簡介 第二節 整體環境 第三節 產品的前景與市場獲利 第四節 公司結構和近來動向 第五節 技術合作生產方面 第六節 重要轉投資活動 第七節 達電與上下游廠商之間的關係 第八節 達電經營團隊的領導作風與政府和勞資的關係 第九節 達電在產業中的優劣勢分析 第四章 研究設計 第一節 研究假說 第二節 資料描述 第五章 實證結果 利用競爭優勢期間求算達電股價 以對權益的自由現金流量法 利用現金股利折現模型 以投資機會方法 (investment opportunities approach) 運用q (盈餘保留率) 的價格 指標盈餘 (indexed earnings) 方法 以EVA和REVA法求算達電經營績效 以本益比、市價淨值比和市價銷售比法 敏感性分析 第六章 結論與建議 參考文獻： 附錄 / There are many valuation models, such as CAPM, competitive advantage period model, Gordon dividend discount model, economic value added model, revised economic value added model, free cash flow model, and relative pricing models such as P/E, P/B and P/S, etc… But what is the fittest model for the high-tech stocks in Taiwan? In my thesis I picked Delta electronic company for my case study because it is one of the fastest growing corporations that is representative of the industry on this island. I started with understanding the fundamentals, strategy, strength, weakness, opportunity and the threat of Delta by analyzing its industry, structure, products and its affiliates domestically and abroad. On the basis of the existing financial statements of the past 12 years (1987~1998), I built the next 5-year ones (1999~2003). Then I applied the valuation models to find out the intrinsic value of Delta based on the information from my analysis, magazines, the internet, the library and other resources. To sum up, this study pointed that the free cash flow model and the relative pricing models including P/E, P/B and P/S could fit the market well. Others are a little away from the quotes of the market. After all, the conclusion is not decisive that other models will never capture the value of the high-tech company like Delta electronic. However the main contribution of this research is the consistence of Delta's projected financial statements. They all connect all together. And all is based on the fundamentals of the company and the industry. Their relationship is what this case study accounts. With this maneuver in the company's accounting numbers step by step, the market participants can apply to other similar companies in Taiwan high-tech industry as well. Or this can contribute to the academics for the scholars to study further on similar issues down the road.

本研究試圖瞭解投資人所關心的財務資訊，是否真能帶來超額報酬，亦即探討上市公司股票報酬率與各財務資訊之間的關係，包括每股盈餘成長率及益本比、市價淨值比、自由現金流量相關變數對長期股票報酬之影響，並嘗試對各變數給予經濟上的解釋。 　　其中並試圖找出財務資訊究竟是在何時反應於股票報酬與超額報酬上，因此將股票報酬與超額報酬以領先財務資訊一季、與財務資訊同季及落後財務資訊一季等三個時點加以衡量，並以表面無關迴歸模式(Seemingly Unrelated Regression model ; SUR)與混合橫斷面及縱斷面之迴歸模式進行統計分析。 　　結果發現益本比及每股盈餘成長率與股票報酬及超額報酬的關係並不顯著；市價淨值比與落後一季的股價報酬具有顯著的負相關，而與超額報酬不論衡量時點為何均存在有顯著正相關；自由現金流量與股價報酬及額報酬均無顯著關係；毛現金流量與經濟利益率與股價報酬在部分產業中具有顯著關係，而與當期超額股價報酬則存在顯著的關係，惟影響符號不一致。此外各自變數對於股票超額報酬的關連性較自變數與股票報酬間具有較顯著的關係。

庫藏股制度於國外已經行之有年，特別是美國，早在1960年代即有庫藏股交易。我國上市上櫃股票可合法買回自己公司股票制度始於2000年所通過的上市上櫃公司買回本公司股份辦法，除了希望藉以提振東南亞金融危機中不振的股市表現，也賦予企業多一種能向投資人傳遞訊息的管道。本研究基於股票買回的各項假說，希望探究公司股票買回宣告的動機還有事件宣告後對於公司股價的影響效果，最後並檢視公司的宣告決策是否會受到前次購回宣告的表現所影響。 在假說驗證方面，以2000至2004年上市公司832家、上櫃公司236家曾經宣告買回自家股票的公司為研究樣本，輔以選出與買回樣本同時間的相同數量「未買回樣本」，透過1-way ANOVA測試與鑑別分析探討影響公司宣告股票買回的因素符合哪些假說的推論結果。此外，依據各項假說，進ㄧ步利用1-way ANOVA測試和複迴歸分析找出與公司事件宣告後股價異常報酬率之間的關係，接著以1-way ANOVA檢視最後一部份研究主題。經由上述的實證分析，本研究獲得以下主要結論： 1.公司買回自家的股票平均而言對於股價有正面的影響效果。 2.以上市公司而言，影響公司宣告股票買回的假說包括了：自由現金流量假說、個人所得稅節稅假說與財務槓桿假說。以上櫃公司而言則包括：自由現金流量假說、個人所得稅節稅假說與資訊信號假說。 3.以上市公司而言，股票買回宣告後，股價的正向異常報酬與：自由現金流量假說、管理者的誘因假說呈現相關關係。上櫃公司則包括：自由現金流量假說。 4.本次是否再度宣告股票買回會受前次買回的正向累積異常報酬率所影響。 / Stock price reactions on stock repurchase announcements among publicly traded corporations have been widely studied over 40 years in United States. Several hypothesizes were established and provide logical reasons for why corporations buy back their own stocks. References show large proportion of positive effect on post-announcement stock price after stock repurchase announcements from empirical researches. It is since 2000 that corporations are allowed to repurchase their own stocks legally in Taiwan. Although many efforts were put in surveying the post-announcement stock price reactions, few focused on examining how corporations’ repurchase decision would be influenced by different hypothesizes. Moreover, whether or not previous repurchase outcome may affect future repurchase judgments met contradict conclusion from recent studies. This research aims on exploring the two main topics which form 7 hypothesize. Data collecting from Taiwan Economic Journal (TEJ) database, Commercial Times and Economic Daily News contains publicly traded corporations had ever made stock repurchase announcement except financial and government institutions. The period of the study was from Aug. 6, 2000 to Jul. 31, 2004 and total number of announced corporations included was 832 listed on the Taiwan Security Exchange with 236 listed on the OTC separately. Hypothesis 1 to 6 were tested both from individual model using 1-way ANOVA Analysis and integrated model using Discriminate Analysis on Hypothesis 1 to 5, Event Study Analysis on Hypothesis 6. Hypothesis 7 was also verified with 1-way ANOVA Analysis. The empirical results show supports in several hypothesize which reflect corporations did concern free cash flow amount, leverage level, stock underpriced and dividend payout level issues when making repurchase announcement. The stock price after announcement has certain degree of moving correlation toward the same direction as free cash flow level and managerial stockholding level. Finally, previous repurchase outcome was found holding opposite relation with future repurchase judgments.