PE fund ranking的問題,透過圖書和論文來找解法和答案更準確安心。 我們查出實價登入價格、格局平面圖和買賣資訊

國立彰化師範大學 財務金融技術學系 吳明政、陳俞如所指導 謝國松的 公司理財論文集 從研究發展計畫評估至公司價值探討:實質選擇權之運用及影響公司價值關鍵財務因素探討 (2019),提出PE fund ranking關鍵因素是什麼,來自於無。

而第二篇論文淡江大學 經營管理全英語碩士學位學程 時序時所指導 卡莉雅的 政府員工在工作場所內使用整合式資通技術的行為意圖研究 −聖克里斯多福及尼維斯聯邦的個案研究 (2019),提出因為有 行為意圖、個人創新、資通技術、聖克里斯多福及尼維斯、技接受使用理論、任務科技配適度的重點而找出了 PE fund ranking的解答。

接下來讓我們看這些論文和書籍都說些什麼吧:

除了PE fund ranking,大家也想知道這些:

公司理財論文集 從研究發展計畫評估至公司價值探討:實質選擇權之運用及影響公司價值關鍵財務因素探討

為了解決PE fund ranking的問題,作者謝國松 這樣論述:

ABSTRACTThese Essays in Corporate Finance comprise three interrelated papers studying the issues from how to select an excellent capital budgeting project, mainly an excellent Research and Development (R&D) project, to exploring the key financial factors as key value drivers in estimating corporate

value. In Paper One, the Binominal Real Option Approach (BROA, or the Approach), which was proposed and practical validity proved by Hauschild and Reimsbach (2015) is used to estimate the value of real options embedded in a real NDD project in Taiwan carried out by GX beginning in 2012, in order to

bridge the gap between theory and practice in term of the application of real option approach in R&D investment decision. From the results of the combination of the Approach and scenario simulation techniques, the expected value of real options embedded in the subject NDD project is about 40% on th

e expected value of the Project under rNPV approach. Without this crucial information, GX management would be very likely make mistakes in the process of decision making on the subject NDD project. As a result, it is concluded by Paper One that real option approach, especially combined with scenario

simulation techniques, is very powerful in evaluating an IPR&D project, especially in evaluating a NDD project. In Paper Two, nine fundamental financial factors: annual return to net-worth (RTN), earnings per share (EPS), cash flow ratio (CF), current ratio (FR), return on assets (ROA), market valu

e added (MVA), economic value added (EVA), long-term growth rate (LGR), and financial leverage effect (FLE) are chosen as the main financial factors deemed to influence the value of a company. By utilizing the "Panel Data Model", 44 listed companies that meet the data requirements are sampled from t

he research population. From 2001 to 2014, the effect of the above nine fundamental financial factors on corporate value is critically and empirically examined. ii The research findings from Paper Two show that the "Panel Data Model" is applicable in examining the effects of influence from the above

nine financial factors on the value of the listed companies in Taiwan textile sector, but the “Random Coefficient Effect Model” is not applicable to the same issue. As to the fundamental factors related with asset category, Return on Assets (ROA) is positively influencing the value of any company i

n the sample. Among the fundamental factors related with debt, current ratio (FR) and financial leverage effect (FLE) significantly but negatively affect corporate value. Among the fundamental factors related with owner's equity, the earnings per share (EPS), market value added (MVA), and economic v

alue added (EVA) are also factors that significantly and positively affect corporate value. Based on the research findings by Paper Two, Paper Three uses the key financial performance indicators commonly used in corporate valuation: return to net-worth (RTN), cash flow ratio (CF), and current ratio

(CR), return on assets (ROA) and economic value added (EVA) to explore their impacts on corporate value by utilizing the random coefficient model. After considering the availability and accuracy of the data, this study adopted the financial vertical and horizontal data of the ten textile stock liste

d companies obtained from the Taiwan Stock Exchange (TSE) website from 2001 to 2014. The results of this study show that among the financial indicators commonly used to measure corporate value, return to net-investment (RTN), cash flow ratio (CF) and current ratio (CR) are not significant factors in

evaluating corporate value. On the contrary, return on assets (ROA) and the economic value added (EVA) are factors that significantly affect corporate value. According to the results presented by utilizing the random coefficient effect model of this study, the effects rendered by economic added val

ue is changing in different periods of time, as well as with different companies. iii Finally, according to the research conclusions of the random coefficient effect model, it can be clearly understood that the financial performance indicators commonly used in the evaluation of corporate will signif

icantly affect the firm value, so it can be used as a reference for future investors to evaluate corporate value in the capital market.

政府員工在工作場所內使用整合式資通技術的行為意圖研究 −聖克里斯多福及尼維斯聯邦的個案研究

為了解決PE fund ranking的問題,作者卡莉雅 這樣論述:

本研究在分析聖克里斯多福及尼維斯聯邦 (Federation of Saint Christopher and Nevis) 政府員工在政府內部整合資通技術(Information and Communication Technology, ICT) 的行為意圖(Behavioral Intentions, BI)。儘管資通技術是一新興且重要趨勢,但此技術發展的不斷整合使該國幾乎無法達成電子化政府的目標,即中有非常大比例的部門無法有效使用此技術。由於員工行為意圖對組織績效的直接影響,因此值得深究此問題以協助該國制定較佳執行策略。 透過問卷調查蒐集資料,對象是 Saint Christophe

r and Nevis 聯邦政府內全職員工,有 711 份有效問卷,並藉 SPSS 進行統計分析。利用整合性科技接受使用理論 (Unified Theory of Acceptance and Use of Technology, UTAUT) 探究行為意圖的 影響以及任務科技配適度 (Task-Technology Fit, TTF) 模型探討資訊系統利用率與個人績效間的關係。這兩模型與擴展因素一起被採用,個人創新能力 (Personal Innovativeness) 用於評估員工的創新水準,並對諸如年齡、性別、教育程度和經驗等調整因素如何影響員工的行為意圖。結果顯示,四個調整因素中的年齡

和經驗對行為意圖有顯著影響,但性別和文化程度的影響並不顯著。此外,諸如個人創新能力、努力預期 (Effort Expectancy)、社會影響力 (Social Influences) 和任務科技配適度等獨立變數對行為意圖產生重大影響。鑑於以往研究中認為績效預期 (Performance Expectancy) 與影響員工行為意圖的最重要因 素,本研究則顯示兩者關係不顯著。此外,一些次要結果是,績效預期和努力預期對個人創新能力沒有中介作用,而任務科技配適度對績效預期沒有影響。本研究結果將促使資訊部門主管在資通技術計畫中更積極主動參與,將有助於他們能夠理解年齡、性別、教育程度和經驗等因素,以及員

工在整合過程的行為意圖的影響。此外,聖克里斯多福及尼維斯聯邦政府可以制定更有效的計畫建議和培訓計畫,以利其員工更快速有效的技術整合。此持續改善建議可作為該國和其他加勒比海國家推動電子政府的指南。