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金融研究  2016, Vol. 431 Issue (5): 156-172    
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稳定客户提高了分析师对企业盈余预测的准确性吗?
王雄元, 彭旋
中南财经政法大学会计学院, 湖北武汉 430073
Does Stable Relationship with Customers Improve the Analyst Forecasts about Suppliers?
WANG Xiongyuan, PENG Xuan
School of Accounting, Zhongnan University of Economics and Law
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摘要 关注客户特征甚至同时跟随客户,既能促进公共信息含量及其质量的提高,又能获得某些私人信息,进而改善分析师盈余预测行为。基于企业层面的证据表明:(1)客户越稳定,分析师对企业的盈利预测越准确,预测分歧度与偏差度越小;(2)企业生产非耐用品、处于行业弱势地位、稳定客户销售占比较高以及与客户关系较好时,稳定客户对分析师盈余预测准确性的影响更显著;(3)稳定客户对分析师盈利预测准确性的影响,可能源自稳定客户对企业盈余以及盈利稳定性的提高。这说明稳定客户是分析师的重要信息来源,即使分析师不同时跟随客户,稳定客户对于分析师预测也有信号传递效应,有助于提高其对企业盈余预测的准确性。基于分析师层面的证据表明:相对于未同时跟随客户与企业的分析师,同时跟随客户与企业的分析师的预测偏差更低,而且这种关系主要体现在客户稳定组。此外在同时跟随客户与企业的样本中,稳定客户与分析师预测偏差负相关。这说明分析师同时跟随稳定客户,可获得供应链知识的溢出效应,从而降低分析师对企业盈利预测的偏误。这些研究结论有助于丰富客户和分析师文献。
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王雄元
彭旋
关键词:  稳定客户  分析师预测准确性  信号传递效应  知识溢出效应    
Abstract:  Focusing on a firm’s customer characteristics and following the customer may improve the quantity and quality of the analysts’ information on the covered firm, thus may enhance the analyst’s forecast accuracy. The empirical evidence based on “firm-level” analysis shows that both the analysts’ forecast error and dispersion of a supplier firm are significant negative with the firm’s stable relationship with its customers. Further analysis shows that, the above positive effects are more prominent when the supplier produces nondurable goods, has a weaker position in the industry, sell higher goods to the stable customers or has a good relationship with customers. And the impact of the stable relationship with customers on analyst forecasts behavior may derives from the effect that the stable relationship can bring higher profitability and profitability persistence. All of these results suggest that stable customers are an important information source of the analysts. Even through don’t follow a covered firm’s customer, the stable relationship with customers may also improve the analyst forecasts, consistent with the “signaling effects”. The empirical evidence based on “firm-analyst-level” analysis show that compared with the analysts who do not following a covered firm’s customer, analysts who followed provide more accurate earnings forecasts for the supplier firm. And this positive relationship exists only in the stable relationship group. What’s more, in the subsample which the analysts follow the covered firm’s customer, the analysts’ forecast error is negative with the stable relationship. All of these results imply that following a covered firm’s customer does provide some material incremental information, consistent with the “supply chain knowledge spillover effects”. Based on these finds, our study may enrich the customer and analyst literatures.
Key words:  Stable Relationship    Forecast Accuracy    Signaling Effects    Knowledge Spillover Effects
JEL分类号:  G14   M30   M41  
基金资助: 本文感谢国家自然科学基金项目(71172221,71472188)以及教育部新世纪优秀人才计划(2012)以及财政部会计领军人才计划对本文的资助。
作者简介:  王雄元,会计学博士,教授,中南财经政法大学会计学院,Email:wangxiongyuan72@163.com;彭 旋,会计学博士研究生,中南财经政法大学会计学院,Email:pengxuan1989@126.com.
引用本文:    
王雄元, 彭旋. 稳定客户提高了分析师对企业盈余预测的准确性吗?[J]. 金融研究, 2016, 431(5): 156-172.
WANG Xiongyuan, PENG Xuan. Does Stable Relationship with Customers Improve the Analyst Forecasts about Suppliers?. Journal of Financial Research, 2016, 431(5): 156-172.
链接本文:  
http://www.jryj.org.cn/CN/  或          http://www.jryj.org.cn/CN/Y2016/V431/I5/156
[1] 白晓宇,2009,《上市公司信息披露政策对分析师预测的多重影响研究》,《金融研究》第4期,第92~112页。
[2] 方军雄,2007,《我国上市公司信息披露透明度与证券分析师预测》,《金融研究》第6期,第136~148页。
[3] 岳衡和林小驰,2008,《证券分析师vs统计模型:证券分析师盈余预测的相对准确性及其决定因素》,《会计研究》第8期,第40~49页。
[4] 王玉涛和王彦超,2012,《业绩预告信息对分析师预测行为有影响吗?》,《金融研究》,第6期,第193~206页。
[5] 张敏、马黎珺和张胜,2012,《供应商-客户关系与审计师选择》,《会计研究》,第12期,第81~86页。
[6] Albuquerque, A., G. Papadakis and P. Wysocki, 2010, “The Impact of Risk and Monitoring on CEO Compensation,” Working Paper.
[7] Armstrong, C.S., W. R. Guay and J. P. Weber, 2010, “The Role of Iinformation and Financial Reporting in Corporate Governance and Debt Contracting,” Journal of Accounting and Economics, 50(2): 179~234.
[8] Bae, K.H., R. M. Stulz, M. Rene and H. Tan, 2008, “Do Local Analysts Know More? A Cross-country Study of the Performance of Local Analysts and Foreign Analysts”, Journal of Financial Economics, 88(3): 581~606.
[9] Banerjee, S., S. Dasgupta and Y. Kim, 2008, “Buyer-Supplier Relationships and the Stakeholder Theory of Capital Structure,” Journal of Finance, 63: 2507~2552.
[10] Barron, O. E. and C. O. Kile, 1999, “MD&A Quality as Measured by the SEC and the Analysts’ Earnings Forecasts,” Contemporary Accounting Research, 16(1): 75~109.
[11] Becchetti, L. and J. Sierra, 2003, “Bankruptcy Risk and Productive Efficiency in Manufacturing Firms,” Journal of Banking and Finance, 27: 2099~2120.
[12] Bonacchi, M., K. Kolev and B. Lev, 2015, “Customer Franchise-a Hidden,Yet Crucial Asset,” Contemporary Accounting Research, 32(3): 1024~1049.
[13] Chen, Q. and W. Jiang, 2006, “Analysts Weighting of Private and Public Information,” Review of Financial Studies, 19(1): 319~355.
[14] Chen, J, H. Chang, H. Chen, S. Kim, 2014, “The Effect of Supply Chain Knowledge Spillovers on Audit Pricing,” Journal of Management Accounting Research, 26(1): 83~100.
[15] Clement, M.B. and S.Y. Tse, 2005, “Financial Analyst Characteristics and Herding Behavior in Forecasting,” Journal of Finance, 60(1): 307~341.
[16] Easley, D. and M. O'hara, 2004, “Information and the Cost of Capital,” The Journal of Finance, 59(4): 1553~1583.
[17] Fornell, C., S. Mithas, F. Morgeson and M. Krishnan, 2006, “Customer Satisfaction and Stock Prices: High Returns, Low Risk,” Journal of Marketing, 70: 3~14.
[18] Gosman, M., T. Kelly, P. Olsson and T. Warfield, 2004, “The Profitability and Pricing of Major Customers,” Review of Accounting Studies, 9(1): 117~139.
[19] Guan, Y., M. F. Wong and Y. Zhang, 2015, “Analyst Following Along the Supply Chain,” Review of Accounting Studies, 20(1): 210~241.
[20] Hui, K. W., S. Klasa and P. E. Yeung, 2012, “Corporate Suppliers and Customers and Accounting Conservatism,” Journal of Accounting and Economics, 53(1): 115~135.
[21] Itzkowitz, J., 2013, “Customers and Cash: How Relationships affect Suppliers' Cash Holdings,” Journal of Corporate Finance, 19: 159~180.
[22] Jackson, A.R., 2005, “Trade Generation,Reputation,and Sell-side Analysts,” Journal of Finance, 60(2): 673~717.
[23] Johnstone, K. M., C. Li and S. Luo, 2014, “Lient-auditor Supply Chain Relationships, Audit Quality, and Audit Pricing,” Auditing:A Journal of Practice & Theory, 33(4): 119~166.
[24] Kim, Y. H. and U. Wemmerlov, 2010, “The Effect of Operations Strategy on Supplier-Customer Relationships and Suppliers’ Financial Performance,” University of Wisconsin-Madison, Working Paper.
[25] Kim, J.B., Y. Song, Y. Zhang, 2015, “Earnings Performance of Major Customers and Bank Loan Contracting with Suppliers,” Journal of Banking & Finance, 59: 384~398.
[26] Luo, S. and N. J. Nagarajan, 2015, “Information Complementarities and Supply Chain Analysts”, The Accounting Review, 90(5): 1995~2029
[27] Li, N. and Z. C. Yang, 2011, “Customer Relationship and Debt Contacting,” Working Paper.
[28] Patatoukas, P. N., 2012, “Customer-base Concentration: Implications for Firm Performance and Capital Markets,” The Accounting Review, 87(2): 363~392.
[29] Previts, G. J., R. J. Bricker, T. R. Robinson and S. J. Young, 1994, “A Content Analysis of Sell-side Financial Analyst Company Reports,” Accounting Horizons, 8(2): 20~32.
[30] Tuli K. and S. Bharadwaj, 2009, “Customer Satisfaction and Stock Returns Risk,” Journal of Marketing Research, 73: 184~197.
[31] Zhang X. F., 2006, “Information Uncertainty and Analyst Forecast Behavior,” Contemporary Accounting Research, 23(2): 565~590.
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