文字探勘技術能應用領域相當廣泛，在財經領域中也已有許多文獻利用該技術處理非結構化的文字資料。近年來隨著債權市場大幅成長，重要性與日俱增，使得探討公司債務資金成本的決定因素成為一重要議題。本文利用文字探勘技術，量化公司法人說明會會議紀錄文本可讀性，將其作為文本揭露品質代理變數，檢驗其與債務資金成本之間的關聯性。不同於過往文獻所使用的可讀性指標，本文結合財經知識，建立對債權人具資訊價值的可讀性指標。本研究實證結果發現，文本可讀性與債務資金成本存在顯著正向關聯性。再者，透過結合財經知識的可讀性指標比起傳統可讀性指標對於債務資金成本更具解釋能力。

Text mining could be applied in a wide range of fields. In the field of finance, there are much literature that use this technique to deal with unstructured text data. In recent years, with the substantial growth of debt market, the importance of debt market is increasing day by day. Therefore, the determinants of the cost of debt become an important issue. We use text mining technique to quantify firm’s earnings conference call transcripts readability and use it as a proxy for disclosure quality. Furthermore, unlike the measure of readability used in previous literature, we combine financial knowledge to establish a new measure of readability. Finally, we examine the relationship between readability and the cost of debt.

摘要
目錄
表目錄
圖目錄
1. 前言 .......... 1
2. 文獻回顧與假說建立.......... 5
3. 資料來源與研究方法.......... 11
4. 實證結果 .........19
5. 結論 .......... 26
參考文獻 .......... 28

1. 劉妍辰，2010，企業年報文字資訊影響資金成本、股價報酬波動 性與分析師盈餘預測準確度之研究，碩士論文，台北:國立臺 灣大學會計學研究所。
2. Baker, M. and J. Wurgler. 2007. Investor Sentiment in the Stock Market. Journal of Economic Perspectives, 21, 129-151.
3. Biddle, G. C., G. Hilary, and R. S. Verdi. 2009. How does financial reporting quality relate to investment efficiency? Journal of Accounting and Economics, 48, 112-31.
4. Bloomfield, R. J. 2002. The “incomplete revelation hypothesis” and financial reporting. Accounting Horizons, 16, 233–43.
5. Bollen, J., H. Mao, and X.-J. Zeng. 2011. Twitter mood predicts the stock market. Journal of Computational Science, 2(1), 1-8.
6. Bonsall, S. B. and B. P. Miller. 2017. The impact of narrative disclosure readability on bond ratings and the cost of debt. Review of Accounting Studies, 22, 608–43.
7. Chen, H., P. De, Y. Hu, and B. Hwang. 2013. Customers as advisors: the role of social media in financial markets. Social Science Research Network Working Paper.
8. Doran, J. S., D. R. Peterson, and S. M. Price. 2012. Earnings conference call content and stock price: the case of REITs. Journal of Real Estate Finance and Economics, 45(2), 402-434.
9. Ertugrul, M., J. Lei, J. Qiu, and C. Wan. 2017. Annual report readability, tone ambiguity, and the cost of borrowing. Journal of Financial and Quantitative Analysis, 52, 811–36.
10. Feldman, R., S. Govindaraj, J. Livnat, and B. Segal. 2008. The incremental information content of tone change in management discussion and analysis. Working paper.
11. Ferguson, N. J., J. Guo, H. Y. T. Lam, and D. Philip. 2012. Media content and stock returns: The predictive power of press. Multinational Finance Journal 19: 1-31.
12. Gunning, R. 1952. The Technique of Clear Writing. New York: McGraw-Hill.
13. Henry, E. 2008. Are Investors Influenced by How Earnings Press Releases Are Written? Journal of Business Communication, 45, 363– 407.
14. Hobson, J. L., W. J. Mayew, and M. Venkatachalam. 2012. Analyzing Speech to Detect Financial Misreporting. Journal of Accounting Research, 50, 349–92.
15. Hu, N., L. Liu, and L. Zhu. 2018. Credit default swap spreads and annual report readability. Review of Quantitative Finance and Accounting, 50, 1–31.
16. Huang, X., S. H. Teoh, and Y. Zhang. 2014. Tone Management. The Accounting Review, 89, 1083-113.
17. Kimbrough, M. D. 2005. The effect of conference calls on analyst and market underreaction to earnings announcements. The Accounting Review, 80(1), 189-219.
18. Lawrence, A. 2013. Individual investors and financial disclosure. Journal of Accounting and Economics, 56, 130–47.
19. Lehavy, R., F. Li, and K. Merkley. 2011. The effect of annual report readability on analyst following and the properties of their earnings forecasts. The Accounting Review, 86, 1087–115.
20. Li, F. 2008. Annual report readability, current earnings, and earnings persistence. Journal of Accounting and Economics, 45, 221–47.
21. Loughran, T., and B. McDonald. 2011. When is a liability not a liability? Textual analysis, dictionaries, and 10-Ks. Journal of Finance, 66, 35–65.
22. Loughran, T., and B. McDonald. 2014. Measuring readability in financial disclosures. Journal of Finance, 69, 1643–71.
23. Loughran, T. and B. McDonald. 2016. Textual Analysis in Accounting and Finance: A Survey. Journal of Accounting Research, 54, 1187- 1230.
24. Matsumoto, D., M. Pronkz, and E. Roelofsen. 2011. What makes conference calls useful? The information content of managers’ presentations and analysts’ discussion sessions. The Accounting Review, 86(4), 1383-1414.
25. Mayew, W., and M. Venkatachalam. 2012. The power of voice: Managerial affective states and future firm performance. Journal of Finance, 67(1), 1-44.
26. Miller, B. P. 2010. The effects of reporting complexity on small and large investor trading. The Accounting Review, 85, 2107–43.
27. Tetlock P. C. 2007. Giving Content to Investor Sentiment: The Role of Media in the Stock Market. Journal of Finance, 62, 1139–68.
28. Fu, X., X. Wu, and Z. Zhang. 2019. The Information Role of Earnings Conference Call Tone: Evidence from Stock Price Crash Risk. Journal of Business Ethics, 2, 1-18.
29. Ziebart, D. and S. Reiter. 1992. Bond ratings, bond yields and financial information. Contemporary Accounting Research, 9, 252–282.