| 研究生: |
呂亞諭 Ya-Yu Lu |
|---|---|
| 論文名稱: |
我國上市櫃電子業之長短期外匯風險研究–以網路通訊類股為例 |
| 指導教授: |
何中達
Chung-Da Ho |
| 口試委員: | |
| 學位類別: |
碩士 Master |
| 系所名稱: |
管理學院 - 財務金融學系在職專班 Executive Master of Finance |
| 畢業學年度: | 96 |
| 語文別: | 中文 |
| 論文頁數: | 66 |
| 中文關鍵詞: | 外匯曝險 、多項式分配遞延模型 、電子產業 |
| 外文關鍵詞: | foreign exchange rate exposure, polynomial distr |
| 相關次數: | 點閱:10 下載:0 |
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本研究旨在分析台灣電子次產業─網路通訊族群的外匯風險狀況。研究方法上,本文捨棄傳統的「資本市場法」,改採用Almon (1965)所提出的「多項式遞延分配模型」來計算長短期外匯曝險,另一方面,我們不以股價報酬,而改以能直接反應公司營運狀況的「營業利益」做為分析公司價值是否受到匯率變動影響之變數。本文的主要貢獻有二,其一,我們改變過去國內文獻對於電子產業外匯風險的研究方法,賦予此議題新的詮釋。其二,本文同時分析了12種貨幣之外匯風險,可補充過去文獻多以美金、日圓作為研究對象之不足。本文的實證結果發現,網通族群所承受的外匯曝險多為長期,當期或短期曝險的比例並不高。另外,平均來看,上櫃公司的外匯風險高於上市公司,通訊類公司的外匯風險高於網路類公司。而在整體網通族群中,相較於其他業者,手機製造業與光纖產品業的外匯風險較高,至於外匯風險最低者為系統整合與電信數據服務業者。另一方面,從個別公司角度,超過六成的公司具有兩種以上的外匯曝險,顯示網通族群針對匯兌風險所採取之避險操作普遍不佳,大部分並無法完全免除外匯風險。最後,造成外匯曝險(是否顯著、曝險程度)的決定因素,不論公司的營運特性,或者是公司的投資避險特性上來看,都至少對一種貨幣所造成的外匯曝險具有解釋能力。故整體來看,營運特性因子─公司規模、營業收入成長率、現金流量允當率,以及投資避險因子─流動比率、長期投資對總資產比、長期負債對股東權益比,皆是外匯風險的決定因素之一,而除了公司規模與長期負債對股東權益比對外匯風險的影響為負向之外,其於因子皆為正向。
This study analyzes the foreign exchange rate exposure and its determinants of listed and OTC-listed electronic corporations in Taiwan, particularly for network and communication firms. For our purpose to investigate the short-term and long-term foreign exchange rate exposure, we adopt the “polynomial distributed lag model” from Almon (1965) to replace the conventional “capital market approach”. In addition, we use operation revenue rather than stock price return as the proxy of firm value, to avoid the possible bias from noise trading in the stock market. Our analyses go for twelve different currencies, and the empirical findings can be summarized as follows.
First, the majority of network and communication firms do not have the short-term foreign exchange rate exposure, but bear the long-term foreign exchange rate exposure. Second, on average, the listed firms in OTC have higher foreign exchange rate risk than the listed firms, and then the communication firms have higher foreign exchange rate risk than the network firms. In addition, among all the network and communication firms, the mobile phone manufacturing and optical fiber manufacturing firms have highest foreign exchange rate risk; on the contrary, the system conformity and telecommunications service firms have the lowest risk.
Finally, we find the six firms characteristics factors, including size, operation growth ratio, C/F adequacy ratio, current ration, long-term investment to total asset, long-term debt to total equity, etc., could be the determinants of foreign exchange rate exposure. Moreover, size and long-term debt to total equity have negative effect, and the rest of factors then have positive effect.
1. 李光揚 (2001),「匯率變動對電子類股股票價格影響之研究」,東吳大學經濟研究所碩士論文。
2. 周麗娟,林靖中與陳勝源 (2003),「未預期匯率變動對股票報酬率及波動性之影響」,中山管理評論,11, 613-639。
3. 施衍礽 (2000),「台灣上市出口公司外匯暴露之研究」,國立暨南大學國際企業管理研究所碩士論文。
4. 施衍礽與高櫻芬 (2002),「公司價值與匯率之間的關係:台灣上市公司之實證研究」, 風險管理學報,4, 19-45。
5. 陳櫻丰 (2006),「台灣上市電子業公司外匯風險暴露之研究」,世新大學財務金融學系碩士論文。
6. 張紹基與蘇松齡 (2001),台灣出口廠商面臨的匯率風險,企業管理學報,51, 87-108。
7. 董澍琦與紀妤瑩 (2002),「台灣多國籍企業外匯風險曝露之研究」,亞太經濟合作評論,9, 36-49。
8. 藍麗惠,廖源星與林育志 (2007),「台灣金融機構之外匯風險」,台灣經濟預測與政策,38, 127-151。
9. 謝舒帆 (2002),「台灣電子產業匯率暴露和決定因子之研究」,國立中山大學財務管理研究所碩士論文。
10. Albrecht, W. S., L. L. Lookabill, and J. C. McKeown (1977), “The Time-Series Properties of Annual Earnings,” Journal of Accounting Research, 15, 226–244.
11. Almon, S. (1965), “The Distributed Lag Between Capital Appropriations and Expenditures,” Econometrica, 33, 178-196.
12. Amihud, Y. (1994), “Exchange Rate and The Valuation of Equity Shares,” Exchange Rate and Corporate Performance. Burr Ridge, Illinois: Irwin, 49-59.
13. Bartov, E. and G. M. Bondar (1994), ”Firm Valuation, Earnings Expectation, and the Exchange Rate Exposure Effect,” Journal of Finance, 49, 1755-85.
14. Bodnar, G.. M. and W. M. Gentry (1993), ”Exchange Rate Exposure and Industry Characteristics: Evidence from Canada, Japan, and the USA,” Journal of International Money and Finance, 12, 29-45.
15. Chow, E. H., W. Y. Lee, and M. E. Solt (1997), “The Economic Exposure of U.S. Multinational Firms,” Journal of Financial Research, 20, 191-210.
16. He, J. and L. K. Ng. (1998), “The Foreign Exchange Exposure of Japanese Multinational Corporations,” Journal of Finance, 53, 733-753.
17. Hopwood, W. and T. Schaefer (1989), “Firm-Specific Responsiveness to Input Price Changes and the Incremental Information in Current Cost Income,” Accounting Review, 64, 313-328
18. Jorion, P. (1990), “The Exchange-Rate Exposure of U.S. Multinationals,” Journal of Business, 63, 331-345.
19. Levi, M. (1983), “International Finance: Financial Management and the International Economy” New York, McGraw-Hill.
20. Martin, A. D. and L. J. Mauer (2004), “Scale Economies in Hedging Foreign Exchange Cash Flow Exposures,” Global Finance Journal, 15, 17–27.
21. Martin, A. D. and L. J. Mauer (2005), “A Note on Common Methods Used to Estimate Foreign Exchange Exposure,” Journal of International Financial Markets, Institutions and Money, 15, 125–140.
22. Nucci, F. and A. F. Pozzolo (2001), “Investment and the Exchange Rate: An Analysis with Firm-Level Panel Data,” European Economic Review, 45, 259-283.
23. Muller, A. and W. F. C. Verschoor (2006), “European Foreign Exchange Risk Exposure,” European Financial Management, 12, 195–220.