第五章 結論與建議
第三節 研究建議
針對本研究的結論與不足,提出以下幾點研究建議予後續研究者:
一、 本文僅針對資本結構理論模型其中一個假設進行討論,後續研究者可以延 續本文的研究方向,選擇其他根本假設討論其對公司融資決策行為影響的情況。
二、 本文所建構的資訊不對稱程度指標來自市場微結構理論的觀察,目前在委 託單驅動市場對於公司面臨逆選擇成本的評估上,不像報價驅動市場已有相當完 整的文獻討論與估算模型,是以有賴市場微結構領域,未來在委託單驅動市場關 於市場價量關係觀察文獻更豐富,延續本文研究方法,定義與設計出更加精確的 資訊不對稱程度指標,對市場提出更精確的描述。
67
三、 本文關於資訊不對稱與融資行為的關係,在研究中出現較其他控制變數不 穩定一致的結果,除了上述有賴於微結構學派發展更完善外,本文以為,在研究 中僅觀察台灣上市公司市場,其實並沒有辦法清楚辨別,這些結論究竟市場真實 反應,亦或代理變數無法作為良好的解釋工具,是以如果可以在研究範圍上,擴 大到亞洲地區具代表性委託單驅動市場,例如香港交易所、新加坡交易所、日本 東京交易所等,以相同的研究方法進行研究,相互比較結果將可提升本文研究方 法以及建構指數參考性。
四、 在本文實證結果中,出現不同年度間有所差異並可歸結出趨勢,由於並未 深入分析各年度,了解所有變數的差異原因,僅能指出可能來自交易新制實施後 的影響,在市場微結構的文獻中也缺乏對於交易新制前後期的相關比較討論,因 此建議後續研究者可以深入各年度研究,討論本文所發現的年度差異可能原因。
五、 受限於經濟新報資料庫資料,本文在計算財務限制的分類討論中,由於缺 乏部分產業別產業營收成長率資料,使得樣本數在各年度短少,尤以 2000 年之 後更為嚴重,得到的結果也出現差異,若能在接下來的研究中,獨立出產業別這 項變數,討論資訊不對稱於不同產業中對公司融資行為是否有不同的影響,可以 讓研究更趨完整。
68
參考文獻 國內文獻
黃玉娟、陳嘉琳,2004,「買賣價差之分解-TAIFEX 與 SGX-DT 之比較」,管理
評論,第二十三卷第一期,49-72。
詹家昌、王冠婷,2006,「財務限制會影響公司系統風險嗎?」,台灣管理學刊,
第六卷第一期,59-84。
詹場、胡星陽,2001,「流動性衡量方法之綜合評論」,國家科學委員會研究彙刊:
人文及社會科學,11 卷 3 期,205-221。
蔡怡純,2005,「委託單區動市場之投單策略與價格形成」,國立中山大學財務管 理學系博士論文。
69
國外文獻
Bagehot, W., 1971, “The Only Game in Town,” Financial Analysts Journal 27: 12-22.
Baker, M. and Jeffrey, W., 2002, “Market Timing and Capital Structure,” Journal of Finance 57: 1–32.
Bharath, S. T., Pasquariello, P., and Wu, G., 2006, “Does Asymmetric Information Drive Capital Structure Decision?” Working Paper, University of Houston.
Chae, J., 2002, “Timing Information, Informatio Asymmetry, and Trading Volume,”
Working Paper, MIT.
Chirinko, R.S., and Singha, A.R., 2000, “Testing Static Tradeoff Against Pecking Order Models of Capital Structure: A Critical Comment,” Journal of Financial Economics 58: 417-425.
Clarke, J., and Shastri, K., 2001, “On Information Asymmetry Metrics,” Working Paper, University of Pittsburgh.
Cohen, K.J., Maier, S.F., Schwartz, R.A., and Whitcomb, D.K., 1981, “Transaction Costs, Order Placement Strategy, and Existence of the Bid-Ask Spread,” Journal of Political Economy 89: 287-305.
Copeland, T.E., and Galai, D., 1983, “Information Effects on the Bid-Ask Spread,”
Journal of Finance 38: 1457-1469.
De Jong, F., Nijman, T., and Roell, A., 1996, “Price Effects of Trading and Components of the Bid-Ask Spread on the Paris Bourse,” Journal of Empirical Finance 3: 193-213.
Demsetz, H., 1968, “The Cost of Transacting,” Quarterly Journal of Economics 82:
33-53.
Easley, D., Hvidkjaer, S., and O’Hara, M., 2005, “Factoring Information into Returns,” Working Paper, University of Maryland.
Easley, D., Kiefer, N.M., O’Hara, M., and Paperman, J.B., 1996, “Liquidity,
70
Informatio, and Infrequently Traded Stocks,” Journal of Finance 51: 1405-1436.
Fama, E.F., 1998, “Market Efficiency, Long-Term Returns, and Behavioral Finance,”
Journal of Financial Economics 49: 283-306.
Fama, E.F., and French, K.R., 2002, “Testing Trade-Off and Pecking Order Predictions About Dividends and Debt,” Review of Financial Studies 15(1): 1-33.
Fama, E.F., and French, K.R., 2005, “Financing Decisions: Who Issues Stock?”
Journal of Financial Economics 76: 549-582.
Foucault, T., 1999, “Order Flow Composition and Trading Costs in a Dynamic Limit Order Market,” Journal of Financial Markets 2: 99-134.
Frank, M.Z., and Goyal, V.K., 2003, “Testing the Pecking Order Theory of Capital Structure,” Journal of Financial Economics 67: 217-248.
Frankel, R., and Li, X., 2004, “Characteristics of a Firm’s Information Environment and the Informatio Asymmetry between Insiders and Outsiders,” Journal of Accounting and Economics 37: 229-259.
Golsten, L.R., 1994, “Is the Electronic Open Limit Order Book Inevitable?” Journal of Finance 49: 1127-1161.
Glosten, L., Milgrom, P., 1985, “Bid, Ask, and the Transaction Prices in a Specialist Market with Heterogeneously Informed Traders,” Journal of Financial Economics 14: 71-100.
Handa, P., Schwartz, R., and Tiwari, A., 2003, “Quote Setting and Price Formation in an Order Driven Market,” Journal of Financial Market 6: 461-489.
Hunddart, S., and Ke, B., 2006, “Information Asymmetry and Cross-Sectional Variation in Insider Trading,” Working Paper, University of Pennsylvania State.
Jensen, M.C., and Meckling, W.H., 1976, “The Theory of the Firm: Managerial Behavior, Angency Costs, and Ownership Structure,” Journal of Financial Economics 13: 305-360.
71
Kavajecz, K.A., 1999, “A Specialist's Quoted Depth and Limit Order Book,” Journal of Finance 54: 747-771.
Kyle, A.S., 1985, “Continuous Auctions and Insider Trading,” Econometrica 53:
1315-1336.
Leary, M.T., and Roberts, M.R., 2004, “Financial Slack and Tests of the Pecking Order's Financing Hierarchy,” Working Paper, University of Duke.
Lemmon, M., Zender, J., 2004, “Debt Capacity and Tests of Capital Structure Theories,” Working Paper, University of Colorado.
Lin, J., Sanger, G.C., and Booth, G.G., 1995, “Trade Size and Components of the Bid-Ask Spread,” Review of Financial Studies 8(4): 1153-1183.
Llorente, G., Michaely, R., Saar, G., and Wang, J., 2002, “Dynamic Volume-Return Relation of Individual Stocks,” Review of Financial Studies 15(4): 1005-1047.
Lo, A., and Wang, J., 2000, “Trading Volume: Definitions, Data Analysis, and Implications of Portfolio Theory,” Review of Financial Studies 13(2):257-300.
Myers, S.C., 1984, “The Capital Structure Puzzle,” Journal of Finance 39: 575-592.
Myers, S.C., and Majluf, N., 1984, “Corporate Financing and Investment Decisions when Firms Have Information That Investors Do Not Have,” Journal of Financial Economics 13: 187-221.
Rajan, R.G., and Zingales, L., 1995, “What Do We Know about Capital Structure?
Some Evidence from International Data,” Journal of Finance 50: 1421-1460.
Ranaldo, A., 2002, “Transaction Costs on the Swiss Stock Exchange,” Swiss Society for Financial Market Research 16(1): 53-68.
Roll, R., 1984, “A Simple Implicit Measure of the Effective Bid-Ask Spread in an Efficient Market,” Journal of Finance 39: 1127-1139.
Shyam-Sunder, L., and Myers, S.C., 1999, “Testing Static Tradeoff Against Pecking Order Models of Capital Structure,” Journal of Financial Economics 51:
72
219-244.
Stoll, H.R., 1989, “Inferring the Components of the Bid-Ask Spread: Theory and Empirical tests,” Journal of Finance 44: 115-134.
Titman, S., and Wessels, R., 1988, “The Determinants of Capital Structure Choice,”
Journal of Finance 43:1-20.
73
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