Responsive image
博碩士論文 etd-0601120-122141 詳細資訊
Title page for etd-0601120-122141
論文名稱
Title
現金流不確定性及應收帳款調整速度之關係
The Relationship between Cash Flow Volatility and the Adjustment Speed of Accounts Receivable
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
38
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
口試日期
Date of Exam
2020-06-05
繳交日期
Date of Submission
2020-07-01
關鍵字
Keywords
現金流量不確定性、應收帳款調整速度、部分調整模型、固定效果模型
Cash Flow Volatility, Accounts Receivable, Partial Adjustment Model, Fixed Effect Models
統計
Statistics
本論文已被瀏覽 5703 次,被下載 0
The thesis/dissertation has been browsed 5703 times, has been downloaded 0 times.
中文摘要
本文獻中,我們探討現金流不確定性及應收帳款調整速度之間之關聯性,而目標應收帳款是依以下變數估計,包括外部資金、公司規模、存貨、內部 資金、現金、應收帳款的產業平均及淨營運現金流量。本文獻更進一步以現 金流不確定性將樣本分五群,發現現金流不確定性最高之群有最快的應收帳 款調整速度落在 0.837,也就是說,此群需花費 4.6 個月以消弭與目標應收帳 款間一半之缺口,相反地,當企業面對最低的現金流量不確定性水準,企業 傾向於擁有最慢的應收帳款調整速度落在 0.562,此區間之樣本平均需花費 10 個月消弭一半的缺口。此外,美國 2000 年至 2017 年之上市公司,應收帳 款之平均調整速度為 0.681,代表此期間之美國上市公司平均大約花上 7.3 個 月以消弭實際應收帳款及目標應收帳款之一半之缺口。本文獻也以財務績效 及市場評價之角度做事後分析,包含財務績效的因子資產報酬率 (ROA)、股 東權益報酬率 (ROE) 及銷售報酬率 (ROS) 及市場評價因子 Tobin’Q,結果 顯示,較快的調整速度對於公司之財務績效不一定是一正向之訊息,然而, 對市場評價角度而言,可能是一有利之信號。
Abstract
In the current study, we explore the link between cash flow volatility and the adjustment speed of accounts receivable. The target accounts receivable is estimated by a set of variables, including external fund, size, inventory, internal fund, cash, industry mean of accounts receivable, and net cash flow from operating activities. We indicate that when we divide cash flow volatility into five groups, firms with the highest cash flow volatility are inclined to face the fastest adjustment speed at 0.837. In other words, it takes 4.6 months to close half of the gap between ideal accounts receivable and actual accounts receivable. On the contrary, when firms are at the lowest cash flow volatility level, firms tend to possess the slowest adjustment speed at 0.562. It takes almost 10 months for lower cash flow volatility firms to close up half of the gap. In addition, the adjustment speed of listed manufacturing companies in the US from 2000 through 2017 is 0.681, which takes 7.3 months to close half of the gap on average. We also evaluate the financial performance and market valuation of firms by several indicators, including return on assets, return on equity, return on sales, and Tobin’Q, for post-hoc analysis in the current study. The findings reveal that faster adjustment speed may not be a positive signal to the financial performance of firms. However, it is supposed to be a beneficial sign in terms of the market valuation.
目次 Table of Contents
論文審定書...................................................................................................................... i
Acknowledgements....................................................................................................... ii
中文摘要........................................................................................................................ iii
Abstract......................................................................................................................... iv
Table of Contents.......................................................................................................... v
List of Figures.............................................................................................................. vii
List of Tables............................................................................................................... viii
1. Introduction.............................................................................................................1
2. Literature reviews.................................................................................................. 2
2.1 Accounts receivable management........................................................................ 2
2.2 Cash flow volatility.................................................................................................. 3
2.3 Hypothesis.........................................................................................................,..... 4
3. Data and sample.................................................................................................... 5
3.1 Data.......................................................................................................................... 5
3.2 Variables.................................................................................................................. 5
4. Methodology.......................................................................................................... 8
4.1 Partial adjustment model....................................................................................... 8
4.2 Fixed effects Model............................................................................................... 10
4.3 GMM (Generalized Method of Moments)............................................................ 10
5. Empirical results................................................................................................... 10
5.1 Mean Reversion of Accounts Receivable............................................................. 10
5.2 Summary statistics................................................................................................ 11
5.3 Trend....................................................................................................................... 12
5.4 Correlations............................................................................................................ 16
5.5 Determinants of accounts receivable................................................................... 17
5.6 Adjustment speed of accounts receivables......................................................... 19
5.7 Adjustment speed of accounts receivable for different level of cash flow
volatility................................................................................................................... 20
5.8 Post-hoc analysis in terms of financial performance and market valuation...... 22
6. Discussion............................................................................................................. 23
6.1 Theoretical implications........................................................................................ 23
6.2 Managerial implications........................................................................................ 24
7. Conclusion............................................................................................................ 24
References.................................................................................................................... 25
參考文獻 References
Abuhommous, A. A., & Mashoka, T. (2018). A dynamic approach to accounts receivable: the case of Jordanian firms. Eurasian Business Review, 8(2), 171–191.
Agarwal, P., & Varma, S. (2013). Working capital management and corporate performance: evidence from a study of Indian firms. Int. J. of Indian Culture and Business Management, 7, 552–571.
25
Antoniou, A., Guney, Y., & Paudyal, K. (2008). The Determinants of Capital Structure: Capital Market-Oriented versus Bank-Oriented Institutions. Journal of Financial and Quantitative Analysis, 43(1), 59–92.
Asselbergh, G. (1999). A Strategic Approach on Organizing Accounts Receivable Management: Some Empirical Evidence. Journal of Management and Governance, 3(1), 1–29.
Baños-Caballero, S., García-Teruel, P. J., & Martínez-Solano, P. (2010). Working capital management in SMEs. Accounting & Finance, 50(3), 511–527.
Bates, T. W., Kahle, K. M., & Stulz, R. M. (2009). Why Do U.S. Firms Hold So Much More Cash than They Used To? The Journal of Finance, 64(5), 1985–2021.
Beck, T., Demirguc-Kunt, A., Laeven, L., & Levine, R. (2005). Finance, Firm Size, and Growth. SSRN Electronic Journal.
Bloom, N. (2014). Fluctuations in Uncertainty. Journal of Economic Perspectives, 28(2), 153–176.
Borenstein, M., Hedges, L., Higgins, J. P. T., & Rothstein, H. R. (2009). Fixed-effect versus random-effects models. Introduction to meta-analysis. Introduction to Meta- Analysis, 77–86.
Bougheas, S., Mateut, S., & Mizen, P. (2009). Corporate trade credit and inventories: New evidence of a trade-off from accounts payable and receivable. Journal of Banking & Finance, 33(2), 300–307.
Bradley, M., Jarrell, G. A., & Kim, E. H. A. N. (1984). On the Existence of an Optimal Capital Structure: Theory and Evidence. The Journal of Finance, 39(3), 857–878.
Chen, J. J. (2004). Determinants of capital structure of Chinese-listed companies. Journal of Business Research, 57(12), 1341–1351.
Chris, H., Scott, R., & Zhe, L. (2019). Cash flow volatility and trade credit in Asia. International Journal of Managerial Finance, 15(2), 257–271.
Chui-Chun Chiu. (2019). A Study on Accounts Receivable Speeds of Adjustment, Macroeconomic Conditions, and Market Competition. National Sun-Yat-Sen University.
Deloof, M., & Jegers, M. (1999). Trade Credit, Corporate Groups, and the Financing of Belgian Firms. Journal of Business Finance & Accounting, 26(7‐8), 945–966.
Dunham, A. (1949). Inventory and Accounts Receivable Financing. Harvard Law Review, 62(4), 588.
Emery, G. W. (1984). A Pure Financial Explanation for Trade Credit. Journal of Financial and Quantitative Analysis, 19(3), 271–285.
Emery, M. (1987). Computer education opportunities for rural adults. New Directions for Adult and Continuing Education, 1987(33), 59–65.
Ferrando, A., & Mulier, K. (2013). Do firms use the trade credit channel to manage growth? Journal of Banking & Finance, 37(8), 3035–3046.
Fiegenbaum, A., & Karnani, A. (1991). Output flexibility—A competitive advantage for small firms. Strategic Management Journal, 12(2), 101–114.
Fisman, R., & Love, I. (2003). Trade Credit, Financial Intermediary Development, and Industry Growth. The Journal of Finance, 58(1), 353–374.
Flannery, M. J., & Rangan, K. P. (2006). Partial adjustment toward target capital structures. Journal of Financial Economics, 79(3), 469–506.
García-Teruel, P. J., & Martínez-Solano, P. (2010). A Dynamic Approach to Accounts Receivable: a Study of Spanish SMEs. European Financial Management, 16(3), 400–421.
Guariglia, A., & Mateut, S. (2006). Credit channel, trade credit channel, and inventory investment: Evidence from a panel of UK firms. Journal of Banking & Finance, 30(10), 2835–2856.
Hansen, L. P. (1982). Large Sample Properties of Generalized Method of Moments Estimators. Econometrica, 50(4), 1029–1054.
Jhang, S.-S. (Sherwin), Lin, W. T., & Fang, I.-H. (2019). How does firms’ integrated market power affect upstream trade credit and institutional ownership? Evidence from Taiwan. Asia Pacific Management Review.
Kale, J. R., & Shahrur, H. (2007). Corporate capital structure and the characteristics of suppliers and customers. Journal of Financial Economics, 83(2), 321–365.
Keefe, M. O., & Yaghoubi, M. (2016). The influence of cash flow volatility on capital structure and the use of debt of different maturities. Journal of Corporate Finance, 38, 18–36.
Kim, W. S., & Sorensen, E. H. (1986). Evidence on the Impact of the Agency Costs of Debt on Corporate Debt Policy. Journal of Financial and Quantitative Analysis, 21(2), 131–144.
Levy, H. (2010). Accounts Receivable Financing and Information Asymmetry. SSRN Electronic Journal.
Long, M. S., Malitz, I. B., & Ravid, S. A. (1993). Trade Credit, Quality Guarantees, and Product Marketability. Financial Management, 22(4).
Margaritis, D., & Psillaki, M. (2010). Capital structure, equity ownership and firm performance. Journal of Banking & Finance, 34(3), 621–632.
Memon, Z., Chen, Y., Tauni, M., & Ali, H. (2018). The impact of cash flow volatility on firm leverage and debt maturity structure: Evidence from China. China Finance Review International, 8.
Mian, S. L., & Smith JR., C. W. (1992). Accounts Receivable Management Policy: Theory and Evidence. The Journal of Finance, 47(1), 169–200.
Minton, B. A., & Schrand, C. (1999). The impact of cash flow volatility on discretionary investment and the costs of debt and equity financing. Journal of Financial Economics, 54(3), 423–460.
Molina, C. A., & Preve, L. A. (2009). Trade Receivables Policy of Distressed Firms and Its Effect on the Costs of Financial Distress. Financial Management, 38(3), 663– 686.
Nilsen, J. H. (2002). Trade Credit and the Bank Lending Channel. Journal of Money, Credit and Banking, 34(1), 226–253.
Opler, T., Pinkowitz, L., Stulz, R., & Williamson, R. (1999). The determinants and implications of corporate cash holdings. Journal of Financial Economics, 52(1), 3– 46.
Pedro, J. G., & Pedro, M. (2007). Effects of working capital management on SME profitability. International Journal of Managerial Finance, 3(2), 164–177.
Petersen, M. A., & Rajan, R. G. (1997). Trade Credit: Theories and Evidence. The Review of Financial Studies, 10(3), 661–691.
Titman, S., & Wessels, R. (1988). The Determinants of Capital Structure Choice. The Journal of Finance, 43(1), 1–19.
Williams, F. (2008). World Bank urged to lift trade credit finance.
Wu, W., Wu, C., & Rui, O. M. (2012). Ownership and the Value of Political
Connections: Evidence from China. European Financial Management, 18(4), 695–729.
Yang, S., & Birge, J. (2011). Trade Credit in Supply Chains: Multiple Creditors and Priority Rules. SSRN Electronic Journal.
電子全文 Fulltext
本電子全文僅授權使用者為學術研究之目的,進行個人非營利性質之檢索、閱讀、列印。請遵守中華民國著作權法之相關規定,切勿任意重製、散佈、改作、轉貼、播送,以免觸法。
論文使用權限 Thesis access permission:自定論文開放時間 user define
開放時間 Available:
校內 Campus:開放下載的時間 available 2025-07-01
校外 Off-campus:開放下載的時間 available 2025-07-01

您的 IP(校外) 位址是 3.145.2.184
現在時間是 2024-05-03
論文校外開放下載的時間是 2025-07-01

Your IP address is 3.145.2.184
The current date is 2024-05-03
This thesis will be available to you on 2025-07-01.

紙本論文 Printed copies
紙本論文的公開資訊在102學年度以後相對較為完整。如果需要查詢101學年度以前的紙本論文公開資訊,請聯繫圖資處紙本論文服務櫃台。如有不便之處敬請見諒。
開放時間 available 2025-07-01

QR Code