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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

The role of web visitors, sales revenue and R&D expense in the pricing of Internet stocks

曾博昇, Tseng, Po-Sheng Unknown Date (has links)
This study explores various drivers of Internet stock prices. This study extends the previous work on Internet stock valuation along two dimensions: (1) the separation of Internet firms into web-related and non-web-related groups. (2) the incorporation of consideration for the effect of Internet shakeout on value drivers identified in this study. The primary findings are as follows. First, this study finds evidence that contradicts the claims made by some analysts that web traffic metrics are no longer important. The findings show that web-traffic remains value-relevant to Internet stock price for the period Oct 1998 to May 2003. Second, this study documents evidence against the “common wisdom”, as represented in the business press, that traditional financial statement information has limited usefulness in pricing of Internet stocks. The variable “revenues” is significantly positively associated with the stock price in the pre- and post-shakeout period for all Internet firms. Third, consistent with prior research on other intangibles-intensive industries, this study finds that, in particular, product development (R&D) appears to be capitalized as assets by investors in their assessment of values of web firms during the testing period, including period subsequent to the industry shakeout in the spring of 2000. This research thus provides preliminary evidence of the value-relevance of R&D expense of the shakeout and maturation of the B2C Internet sector. Fourth, with respect to the inquiry of the potential effect of difference in web-traffic on the pricing of Internet stock, the empirical results demonstrate the importance of this consideration. The findings indicate that raw web-traffic variable is not value-relevant for non-web firms, while it is value-relevant for web firms. Finally, the market condition of Internet stocks appears to be influential in explaining the pricing of Internet share. The empirical result shows that the share prices of Internet stocks are higher before the market correction, when holding other variable as controlled.
2

未分配盈餘加徵10%稅負與企業投資決策之關係 / An investigation of the relationship between 10% surtax on undistributed earnings and corporate investment in Taiwan

張莞兒 Unknown Date (has links)
我國自民國87年起實施「未分配盈餘加徵10%營所稅」,已有多位學者研究兩稅合一稅制與企業投資之關係,但針對未分配盈餘加徵稅負對企業投資意願的影響,迄今尚未有以『實際加徵之稅負資料』進行實證研究探討。本研究以未分配盈餘加徵稅負對企業投資支出之影響為主軸,並進一步分析當『產業』不同或『公司規模』大小不同時,未分配盈餘加徵稅負與企業投資的關係。除此之外,將企業投資分為固定資產總額投資、固定資產淨額投資及研究發展支出。 實證結果發現:(1) 未分配盈餘加徵稅負與固定資產投資及研究發展支出之迴歸係數為負值,且當投資為固定資產投資總額及固定資產投資淨額時,達統計上的顯著性。且由數據發現,電子產業研發費用較非電子產業高出5倍之多,因其仰賴高額研發支出,故需較多保留盈餘以因應投資需求;實施未分配盈餘加徵稅負後,電子產業實際加徵之未分配盈餘稅負較非電子產業為高,因此當政府增加未分配盈餘加徵稅負之制度,對電子產業衝擊較大。 (2) 由樣本超過200間的五大產業中發現,其投資支出與未分配盈餘加徵稅負的迴歸係數大致呈負值,且電機機械業、電子產業及建材營造業的迴歸結果達統計上的顯著性。(3) 本研究將企業依總資產規模不同分為四大組,發現當公司規模最小與公司規模最大時,此兩個組的企業,未分配盈餘加徵之稅負愈高,其固定資產投資之金額愈低。上述未分配盈餘稅負與投資的關係,可發現多數企業視未分配盈餘租稅成本為重要之投資決策考量因素,此一研究結果可提供政府制定稅務政策之參考。
3

專利資訊與分析師盈餘預測 / Patents and analysts' forecasts

鄭人維, Cheng, Ren Wei Unknown Date (has links)
本研究以研究發展費用作為專利的投入變數,以專利數作為專利的產出數量變數,以平均專利範圍及平均專利發明人數作為專利的產出品質變數,使用長期間與大範圍的台灣樣本來探討專利資訊與企業財務績效之關連性,並透過專利資訊的使用者-分析師的觀點來判別哪些專利資訊是資訊使用者眼中的攸關資訊。研究結果發現大量的專利並不會對企業未來盈餘有明顯助益,擁有高品質的專利才是對企業未來盈餘有所助益的關鍵因素,研究結果亦發現分析師在進行盈餘預測時,並未適當的利用專利產出品質與專利產出數量資訊,且這些未經適當利用的專利資訊會增加盈餘預測誤差。故本研究建議資訊揭露相關準則及法規可針對專利資訊給予更完整、更透明的揭露。 / Patent’s value is hard to accurately identify under current generally accepted accounting principles. This paper uses firms in the Taiwan Stock Exchange to investigate the association of firm’s patents, future financial performance and the information used in analysts’ earnings forecasts. The patents were measured by the proxies of R&D expenditures, granted patents, patent claims and the number of patent inventors. The evidences show that possessing a large number of patents does not help future financial performance, but granting high quality patents does. The evidences also show that analysts do not appropriately use the information provided by patents, and this truly causes analysts’ forecast errors. Therefore, I suggest giving patents clearer and more complete disclosure, so that investors can obtain more value-relevant information.

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