The Journal of Asian Finance, Economics and Business

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The Influence of Annual Reports' Disclosure Delay on the Analysts' Forecast Behavior: An Empirical Study in China

  • TANG, Kai (Department of Accounting, College of Business, Chungbuk National University) ;
  • BAE, Khee Su (Department of Accounting, College of Business, Chungbuk National University)
  • Received : 2021.03.10
  • Accepted : 2021.05.15
  • Published : 2021.06.30
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Abstract

This paper carries out an empirical study on how annual reports' disclosure delay affects analyst forecast accuracy and optimism, based on 6,523 firm-year observations of 2,287 A-share listed firms in the Chinese stock market between 2016 and 2019. Results show that there is a significant negative correlation between analyst forecast accuracy and annual reports' disclosure delay, which indicates that, affected by the low quality of accounting information in untimely disclosed annual reports, analysts tend to be less accurate in forecasting the performance of companies; moreover, there is a significant positive correlation between analysts' optimism and annual reports disclosure delay, indicating that in order to turn things around, the management of firms that have delayed disclosing their annual reports in the current year will carry out more positive earnings management in the next year, which leads to analysts' optimism about their profitability in the next year. After eliminating the problem of heteroscedasticity and endogeneity, our conclusions remain valid. Our research suggests that investors need to be more cautious about analysts' forecasts on firms with annual reports' delayed disclosure and that analysts should verify the accounting information in belated annual reports through multiple channels and make more conservative estimates.

Keywords

1. Introduction

Statement No. 4 issued by the Accounting Principles Board (an authoritative body of the American Institute of Certified Public Accountants) in 1970 points out that timeliness is one of the goals of accounting. According to Paragraph 45 of the Conceptual Framework for Financial Reporting by the International Accounting Standards Board, accounting information that is not timely disclosed will lose its relevance. Based on the actual situation in China, the research group studying Qualitative Characteristics of Accounting Information in China in 2006 proposes the qualitative characteristics system of accounting information, which likewise emphasizes that timeliness is an important characteristic of accounting information and untimeliness erodes the relevance of accounting information.

With regard to regular financial reports related to accounting information, as the annual report is compiled in a more systematic manner and provides more comprehensive information, it has become the most important source of information for stakeholders and analysts (Chen & Zhou, 2008; Khatun, Naima, Karim, & Alam, 2016). In light of previous research, this paper examines the relationship between annual reports’ disclosure delay and analysts’ forecast behavior, in hopes of providing direct assistance to investors, analysts, and regulators.

Previous research suggests that annual reports’ disclosure delay is often related to poor business performance and out of the necessity to buy time for the management to formulate an appropriate plan to cope with bad news and to manipulate accounting data so as to minimize the negative impacts of bad news (Begley & Fischer, 1998). Hence, annual reports disclosed untimely are often of lower quality (Liu & Zhu, 2008). Moreover, in China, analysts have higher requirements for the quality of accounting information to facilitate forecast accuracy (Hu, Rao, Chen, & Li, 2003). As discovered by previous research, accounting information of lower quality results in less accurate forecasts (Xiao, Zheng, Li, & Zhu, 2012; Xie, Shi, & Hui, 2018). Therefore, first we speculate that there is a negative correlation between analysts’ forecast accuracy and annual reports’ disclosure delay (Hypothesis 1).

Besides, Wang, Chen, and Gu (2008) note that firms that have delayed disclosing the annual report of the current year will focus more on positive earnings management in the next year, seeking to turn things around. Hence, analysts are likely to be optimistic about their profitability in the next year. For this reason, we speculate that there is a positive correlation between analysts’ optimism and annual reports’ disclosure delay (Hypothesis 2).

An empirical study was performed to test the hypotheses, based on the 6,523 firm-year observations of 2,287 A-share listed firms in the Chinese stock market between 2016 and 2019. The results show there is a significant negative correlation between analysts’ forecast accuracy and annual reports’ disclosure delay, indicating that accounting information in untimely disclosed annual reports is of poorer quality, leading to the lower accuracy of analysts’ forecasts, while there is a significant positive correlation between analysts’ optimism and annual reports’ disclosure delay, indicating that in order to turn things around, the management of firms that have delayed disclosing their annual reports in the current year will carry out more positive earnings management in the next year, which increases analysts’ optimism about their level of profitability in the next year.

Analysts’ forecast provides an important basis for investment decision-making (Fan & Wang, 2010). Our research shows that analysts are less accurate in forecasting the performance of companies with delayed annual report disclosure and are significantly optimistic, which warns investors to be more cautious about analysts’ forecasts on firms with delayed annual report disclosure. Moreover, our research shows that analysts should verify the accounting information in belated annual reports through multiple channels and make more conservative estimates.

The remainder of this paper is organized as follows: the second section provides information on prior research and formulates hypotheses, the third section introduces the model and samples, the fourth section presents empirical results, and the fifth section summarizes, concludes, and highlights the study’s contributions.

2. Literature Review and Hypothesis Development

2.1. Annual Reports’ Disclosure Delay and Accounting Information Quality

The phenomenon of “good news comes early and bad news arrives late” was first noticed by foreign scholars (Basu, 1997; Beaver, 1968; Kothari, Shu, & Wysocki, 2009; Kross, 1981). Then, studies on the Chinese stock market have reached the same conclusion: companies with positive performance tend to release their annual reports earlier while those with negative performance tend to delay the disclosure (Chen & Deng, 2004; Haw, Park, Qi, & Wu, 2003; Wu, Huang, & Wu, 2004; Wu, Wang, & Qiao, 2006).

Trueman (1990) notes that, after weighing the quality of earnings, the management of listed firms can influence market reaction by choosing a specific time point for disclosure. In general, in order to release good news to investors, high achievers not only truthfully report the high return rate, but also choose to disclose their annual reports in advance, in the hope of gaining more attention from media and investors as well as producing excess returns (Wang et al., 2008; Wu et al., 2006). On the contrary, when it comes to bad news, the management is inclined to delay its disclosure, so that it can gradually seep into share prices, avoiding the severe blow to corporate shares caused by the sudden disclosure of bad news (Wu et al., 2006; Zhang, 2013). Specifically, over time, as bad news in the industry is disclosed, the market can predict the existence of bad news in firms that have not disclosed their annual reports and react in advance, which helps cushion the blow to corporate share prices caused by the sudden disclosure of annual reports (Wang & Shen, 2014; Wang et al., 2008; Wu et al., 2006).

In particular, through disclosure delay, managers gain time to manipulate accounting information and generate false financial statements (Wang et al., 2008; Xie & Tao, 2017; Zhu & Yang, 2006). Begley and Fischer (1998) suggest that the delayed disclosure of bad news helps the management formulate a plan to cope with bad news and to manipulate accounting data so as to minimize the negative impacts of bad news. Therefore, firms who delay disclosing their annual reports are more likely to perform earnings management and to disclose accounting information of lower quality (Trueman, 1990). Studies on the Chinese stock market also support the conclusion. Liu and Zhu (2008) discover that untimely disclosed annual reports provide accounting information of lower quality. Wang et al. (2008) suggest that for a long time period in the future, the timeliness of annual reports’ disclosure can be an indicator of the transparency of accounting information.

2.2. Quality of Accounting Information and Analysts’ Forecast

Some empirical studies conducted by foreign researchers reveal that the quality of disclosed accounting information can affect the accuracy of analysts’ forecast (Das, Levine, & Sivaramakrishnan, 1998; Eames & Glover, 2003). According to the study of Hu et al. (2003), unlike their foreign counterparts, Chinese analysts use accounting information significantly more often than management nformation. That way, the quality of accounting information inevitably has a stronger influence on the forecast accuracy of Chinese analysts.

Fan and Wang (2010) hold that the higher the degree of earnings manipulation, the more difficult it is for analysts to infer the future earnings from the disclosed accounting information. Xiao et al. (2012) note the more accounting information diverges from the actual conditions of firms, the less accurate analysts’ forecasts are. Xie et al. (2018) also discover that the lower the quality of disclosed accounting information, the more difficult it is for analysts to make accurate estimates of corporate business performance and financial conditions, which causes greater errors in earnings forecasts.

2.3. Hypothesis Development

According to previous research, untimely disclosed annual reports tend to present accounting information of lower quality and transparency, while analysts’ forecast is to a large extent affected by the quality of accounting information disclosed. Therefore, we propose the first hypothesis as following:

H1: The accuracy of analysts’ forecasts is negatively correlated with annual reports’ disclosure delay.

As noted by previous research, annual reports’ disclosure delay is often caused by poor business performance, while in order to turn things around, firms that delay annual reports’ disclosure tend to carry out more positive earnings management in the next year (Wang et al., 2008), which may lead to analysts’ optimism about their profitability in the next year. Thus, we propose the following hypothesis:

H2: The forecast optimism of analysts is positively correlated with annual reports’ disclosure delay.

3. Model and Samples

3.1. The Measurement of Analysts’ Forecast Accuracy and Optimism

Inspired by the studies of Ayres, Huang, and Myring (2017); Hong, Zhang, and Su (2013); Li (2020), this paper adopted Formula (1) and Formula (2) to measure the analysts’ forecast accuracy (ACC) and optimism (OPT):

\(\mathrm{ACC}_{i, t}=(-1) \times \frac{\left|\mathrm{FORECAST}_{i, t}-\mathrm{EPS}_{i, t}\right|}{\mathrm{PRICE}_{i, t}}\)       (1)

\(\mathrm{OPT}_{i, t}=\frac{\text { FORECAST }_{i, t}-\mathrm{EPS}_{i, t}}{\operatorname{PRICE}_{i, t}}\)       (2)

In the formula, FORECASTi,t represents the mean of the analysts’ estimates of Firm i’s earnings per share (Year t), after the annual report (Yeart–1) of Firm i is disclosed, EPSi,t represents the earnings per share of Firm i in Year t, and PRICEi,t represents the closing price of Firm i in Year t.

3.2. Measurement of Annual Reports’ Disclosure Delay

In light of previous research, this paper adopted the method of measuring annual reports (Yeart–1) delay with the natural logarithm of the number of calendar days between the actual date of disclosure and the last day (December 31) of the t–1 year (Chambers & Penman, 1984; Li & Song, 2010; Zhang & Liu, 2006; Zhu & Yang, 2006).

3.3. Regression Model

The following regression model is constructed to test the hypotheses:

\(\begin{aligned} \mathrm{ACC}_{i, t}=& \alpha_{0}+\alpha_{1} \text { DELAY }_{i, t-1}+\alpha_{2} \text { AdjROE }_{i, t}+\alpha_{3} \mathrm{LEV}_{i, t} \\ &+\alpha_{4} \operatorname{LnAGE}_{i, t}+\alpha_{5} \text { FOLLOW }_{i, t}+\alpha_{6} \operatorname{LnSIZE}_{i, t} \\ &+\alpha_{7} \operatorname{LOSS}_{i, t}+\alpha_{8} \mathrm{MB}_{i, t}+\alpha_{9} \operatorname{StdROA}_{i, t} \\ &+\text { Industry Dummies + Year Dummies }+\varepsilon_{i, t} \\ \mathrm{OPT}_{i, t}=& \beta_{0}+\beta_{1} \text { DELAY }_{i, t-1}+\beta_{2} \operatorname{AdjROE}_{i, t}+\beta_{3} \mathrm{LEV}_{i, t} \\ &+\beta_{4} \operatorname{LnAGE}_{i, t}+\beta_{5} \text { FOLLOW }_{i, t}+\beta_{6} \operatorname{LnSIZE}_{i, t} \\ &+\beta_{7} \operatorname{LOSS}_{i, t}+\beta_{8} \mathrm{MB}_{i, t}+\beta_{9} \operatorname{StdROA}_{i, t} \\ &+\text { Industry Dummies + Year Dummies }+\varepsilon_{i, t} \end{aligned}\)

Table 1 illustrates the definitions for variables of the model.

Table 1: Variable Definitions

OTGHEU_2021_v8n6_859_t0001.png 이미지

According to previous research, AdjROE, LEV, LnAGE, FOLLOW, LnSIZE, LOSS, MB and StdROA can affect the forecast accuracy and optimism of analysts (Ayres et al., 2017; Gu & Wu, 2003; Hong et al., 2013; Li, 2020; Muslu, Mutlu, Radhakrishnan, & Tsang, 2019; Nam, 2019; Oh & Ki, 2020).

3.4. Samples

All data used in this paper come from the CSMAR database. As the Chinese stock market experienced several shocks before 2016, in order to minimize the impacts of abnormal market fluctuations, we studied A-share listed companies in China between 2016 and 2019. After deleting samples with missing values and those of financial enterprises, we finally obtained 6,523 firm-year observations.

4. Empirical Results

4.1. Descriptive Statistics

Table 2 lists the descriptive statistical results of main variables. The mean value of the dependent variable ACC is –0.021, and that of OPT is 0.018. The minimum, maximum, and mean values of the independent variable DELAY are 2.772 (around 16 days), 4.795 (around 121 days), and 4.554 (around 97 days). As required by China Securities Regulatory Commission (CSRC), publicly-listed firms shall release their financial statements before May (within 121 days). However, the mean of DELAY is 4.554, indicating that Chinese listed firms generally release their financial reports at later points of time.

Table 2: Descriptive Statistics

OTGHEU_2021_v8n6_859_t0002.png 이미지

4.2. Univariate Analysis

Table 3 presents the results of univariate correlation analysis between main variables, which reveal a significant negative correlation between ACC and DELAY, and a significant positive correlation between OPT and DELAY. The results provide initial support for our hypotheses. Since univariate correlation analysis alone is not sufficient, we will verify the hypotheses with multivariate regression analysis.

Table 3: Univariate Correlations Among Key Variables

OTGHEU_2021_v8n6_859_t0006.png 이미지

4.3. Multivariate Regression Analysis

Table 4 presents the multivariate OLS regression results of Hypothesis 1. The Column 1 of Table 4 reveals a significant negative correlation between ACC and DELAY. The Column 2 of Table 4 shows that after eliminating the problem of heteroscedasticity, the negative correlation between ACC and DELAY remains valid, which indicates that affected by the lower quality of accounting information in untimely disclosed annual reports, analysts are less accurate in forecasting the performance of companies with annual reports’ delayed disclosure.

Table 4: Analysts’ Forecast Accuracy and Annual Reports’ Disclosure Delay

OTGHEU_2021_v8n6_859_t0003.png 이미지

Note: ***, **, *Indicate respectively significance at the 1%, 5%, and 10% levels or better

Table 5 lists the multivariate OLS regression results of Hypothesis 2. The Column 1 of Table 5 reveals a significant positive correlation between OPT and DELAY. The Column 2 of Table 5 shows that after eliminating the problem of heteroscedasticity, the positive correlation between OPT and DELAY remains valid, which indicates that to turn things around, firms that delay in annual reports disclosure tend to carry out more positive earnings management in the next year, leading to the optimism of analysts in their profitability in the next year.

Table 5: Analysts’ Optimism and Annual Reports’ Disclosure Delay

OTGHEU_2021_v8n6_859_t0004.png 이미지

Note: ***, **, *Indicate respectively significance at the 1%, 5%, and 10% levels or better.

4.4. Endogeneity

The influence of endogeneity on the results is controlled through the use of IndDELAY as the instrumental variable for 2SLS regression. IndDELAY is measured using the natural logarithm of the median of the delay days in annual reports disclosure of other companies in the industry of firm i. The method of using the industry median as an instrumental variable is widely employed in financial and accounting research (Harjoto & Jo, 2015; Larcker & Rusticus, 2010). Previous research suggests that managers are inclined to choose the time point for annual reports disclosure with that of their peers as a reference (Trueman, 1990). Therefore, we speculate there is a positive correlation between DELAY and IndDELAY, while obviously IndDELAY does not influence ACC and OPT directly.

Table 6 displays the results of 2SLS regression. The Column 1 of Table 6 shows that there is a significant correlation between DELAY and IndDELAY. Besides, the statistical value of F in the first stage is 13.56 (>10), demonstrating that IndDELAY is not a weak instrumental variable. In particular, although it is shown by the Hausman test that the multivariate OLS regression results are influenced by endogeneity. Nonetheless, the Column 2 and Column 3 of Table 6 still reveal a significant negative correlation between ACC and pre-DELAY, and significant positive correlation between OPT and pre-DELAY. Therefore, after eliminating the problem of endogeneity, the empirical results still support our hypotheses.

Table 6: Endogeneity—2SLS Regression

OTGHEU_2021_v8n6_859_t0005.png 이미지

Note: ***, **, *Indicate respectively significance at the 1%, 5%, and 10% levels or better.

5. Conclusion

Timeliness is an important qualitative characteristic of accounting information, and untimeliness erodes the relevance of accounting information. This paper explores how the delay in the disclosure of annual reports (as the most important accounting information resources for forecasting) influences the forecast accuracy and optimism of analysts.

The 6,523 firm-year observations of 2,287 A-share listed firms in the Chinese stock market between 2016 and 2019 were employed for an empirical study, which obtained results listed below.

First, the forecast accuracy of analysts shows a significant negative correlation with annual reports disclosure delay, which indicates that accounting information in untimely disclosed annual reports is of poorer quality, leading to the lower accuracy of analysts’ forecasts.

Second, the optimism of analysts shows a significant positive correlation with annual reports disclosure delay, which indicates that in order to turn things around, firms that delay in annual reports’ disclosure tend to carry out more positive earnings management in the next year, which leads to analyst optimism about their profitability in the next year.

Our paper has made several contributions:

First, during the information disclosure of publiclylisted firms, analysts play the significant role of passing on messages to investors and bridging the gap between investors and companies (Fan, 2020; Xie & Tao, 2017). While making investment decisions, investors tend to adopt analysts’ forecasts as a reliable reference for the future profitability of their target companies (Fan & Wang, 2010). Hence, inaccurate forecasts will cause investment decisions to deviate significantly from the actual conditions of firms (Fan, 2020). Our research has found that analysts are less accurate yet significantly more optimistic in forecasting the performance of companies with annual reports’ delayed disclosure, which warns investors to be more cautious about analyst forecasts on firms with annual reports disclosure delay.

Second, the value of analysts’ forecasts to the capital market is determined by the forecast accuracy (Shi, Su, & Qi, 2007). Our research suggests that analysts should expend more efforts on verifying the authenticity of accounting information and make more conservative estimates.

Third, by studying the influence of annual reports’ disclosure delay on the forecast behaviors of analysts, our paper further confirms that firms with annual reports’ disclosure delay are more likely to manipulate accounting information, which indicates that regulators should be more strict with the supervising and investigating of those enterprises.

References

  1. Ayres, D., Huang, X. S., & Myring, M. (2017). Fair Value Accounting and Analyst Forecast Accuracy. Advances in Accounting, 37, 58-70. https://doi.org/10.1016/j.adiac.2016.12.004
  2. Basu, S. (1997). The Conservatism Principle and the Asymmetric Timeliness of Earnings. Journal of Accounting and Economics, 24(1), 3-37. https://doi.org/10.1016/S0165-4101(97)00014-1
  3. Beaver, W. H. (1968). The Information Content of Annual Earnings Announcement. Journal of Accounting Research, 6, 67-92. https://doi.org/10.2307/2490070
  4. Begley, J., & Fischer, P. E. (1998). Is There Information in an Earnings Announcement Delay? Review of Accounting Studies, 3, 347-363. https://doi.org/10.1023/A:1009635117801
  5. Chambers, A. E., & Penman, S. H. (1984). Timeliness of Reporting and the Stock Price Reaction to Earnings Announcements. Journal of Accounting Research, 22(1), 21-47. https://doi.org/10.2307/2490700
  6. Chen, G., & Zhou, X. (2008). The Empirical Studies on Timeliness of Annual Report: A Review and Outlook. Accounting Research, 11, 48-54.
  7. Chen, H., & Deng, S. (2004). Surplus Report in Time: The Experience Evidence Came from China's Stock Market. Contemporary Finance & Economics, 4, 103-108.
  8. Das, S., Levine, C. B., & Sivaramakrishnan, K. (1998). Earnings Predictability and Bias in Analysis' Earnings Forecasts. The Accounting Review, 73(2), 277-294.
  9. Eames, M. J., & Glover, S. M. (2003). Earnings Predictability and the Direction of Analysts' Earnings Forecast Errors. The Accounting Review, 78(3), 707-724. https://doi.org/10.2308/accr.2003.78.3.707
  10. Fan, S. (2020). Accounting Conservatism, Risk Information Disclosure and Analysts' Earnings Forecast. Communication of Finance and Accounting, 5, 20-24.
  11. Fan, Z., & Wang, J. (2010). Security Analysts Following: Decisive Factors and Economic Consequences. Journal of Shanghai Lixin University of Commerce, 1, 61-69. https://doi.org/10.16314/j.cnki.31-2074/f.2010.01.009
  12. Gu, Z., & Wu, J. S. (2003). Earnings Skewness and Analyst Forecast Bias. Journal of Accounting and Economics, 35(1), 5-29. https://doi.org/10.1016/S0165-4101(02)00095-2
  13. Harjoto, M. A., & Jo, H. (2015). Legal vs. Normative CSR: Differential Impact on Analyst Dispersion, Stock Return Volatility, Cost of Capital, and Firm Value. Journal of Business Ethics, 128, 1-20. https://doi.org/10.1007/s10551-014-2082-2
  14. Haw, I. M. G., Park, K., Qi, D., & Wu, W. (2003). Audit Qualification and Timing of Earnings Announcements: Evidence from China. Auditing: A Journal of Practice and Theory, 22(2), 121-146. https://doi.org/10.2308/aud.2003.22.2.121
  15. Hong, J., Zhang, X., & Su, C. (2013). The Performance Changes of Listed Companies and the Forecasting Behavior of Analysts. Review of Investment Studies, 8, 113-128.
  16. Hu, Y., Rao, Y., Chen, Y., & Li, P. (2003). Survey on the Understandability of Information by Securities Analysts. Accounting Research, 11, 14-20.
  17. Khatun, N., Naima, J., Karim, Z., & Alam, L. (2016). Importance of Annual Report to the Shareholders: Empirical Evidence from Bangladesh. Journal of Asian Finance, Economics and Business, 3(3), 67-77. https://doi.org/10.13106/jafeb.2016.vol3.no3.67
  18. Kothari, S. P., Shu, S., & Wysocki, P. D. (2009). Do Managers Withhold Bad News? Journal of Accounting Research, 47(1), 241-276. https://doi.org/10.1111/j.1475-679X.2008.00318.x
  19. Kross, W. (1981). Earnings and Announcement Time Lags. Journal of Business Research, 9(3), 267-280. https://doi.org/10.1016/0148-2963(81)90021-7
  20. Larcker, D. F., & Rusticus, T. O. (2010). On the Use of Instrumental Variables in Accounting Research. Journal of Accounting and Economics, 49(3), 186-205. https://doi.org/10.1016/j.jacceco.2009.11.004
  21. Li, D., & Song, Y. (2010). Is the Timely Accounting Information Disclosed in Annual Report Reliable? Management World, 9, 129-137, 188.
  22. Li, P. (2020). CEO Characteristics, Performance Forecast Quality and Analysts' Earnings Forecast. Communication of Finance and Accounting, 12, 34-38.
  23. Liu, J., & Zhu, X. (2008). Empirical Study of the Timeliness and Reliability of Information Disclosure. Journal of Zhongnan University of Economics and Law, 6, 94-98, 114.
  24. Muslu, V., Mutlu, S., Radhakrishnan, S., & Tsang, A. (2019). Corporate Social Responsibility Report Narratives and Analyst Forecast Accuracy. Journal of Business Ethics, 154, 1119-1142. https://doi.org/10.1007/s10551-016-3429-7
  25. Nam, H. J. (2019). The Effect of Earnings Quality on Financial Analysts' Dividend Forecast Accuracy: Evidence from Korea. Journal of Asian Finance, Economics and Business, 6(4), 91-98. https://doi.org/10.13106/jafeb.2019.vol6.no4.91
  26. Oh, K. W., & Ki, E. S. (2020). Effect of Tax-Related Information on Pre-Tax Income Forecast and Value Relevance. Journal of Asian Finance, Economics and Business, 7(1), 81-90. https://doi.org/10.13106/jafeb.2020.vol7.no1.81
  27. Shi, G., Su, L., & Qi, W. (2007). An Empirical Study about the Determinants of the Precision of Analysts' Earnings Forecast. China Journal of Finance and Economics, 5, 62-71. https://doi.org/10.16538/j.cnki.jfe.2007.05.006
  28. Trueman, B. (1990). Theories of Earnings-announcement Timing. Journal of Accounting and Economics, 13(3), 285-301. https://doi.org/10.1016/0165-4101(90)90035-3
  29. Wang, L., & Shen, J. (2014). Impact of Earnings Management on Timeliness of Annual Report Disclosure of Listed Companies. Times Finance, 5, 197.
  30. Wang, X., Chen, W., & Gu, J. (2008). Signals of Timeliness of Annual Reports: Evidence from Annual Reports of A-Share Companies 2004-2006. Accounting Research, 12, 47-55, 94.
  31. Wu, L., Huang, H., & Wu, X. (2004). Listed Company Audit and the Change of Financial Reporting Disclosure Appointment Date. Auditing Research, 5, 48-52, 88.
  32. Wu, S., Wang, J., & Qiao, X. (2006). An Empirical Study on Timeliness of Annual Reports of Chinese Listed Companies. Accounting Research, 2, 19-24, 96.
  33. Xiao, B., Zheng, L., Li, X., & Zhu, W. (2012). Does Accounting Conservatism Affect Analysts' Earnings Forecast?-Evidence from Chinese Stock Market. Management Review, 24, 36-44. https://doi.org/10.14120/j.cnki.cn11-5057/f.2012.02.012
  34. Xie, H., Shi, J., & Hui, L. (2018). Strategic Differentiation, Information Transparency and the Earnings Forecast Quality of Financial Analysts: Empirical Evidence Based on the Listed Companies in Shenzhen Stock Exchange. Journal of Nanjing Audit University, 4, 28-35. https://doi.org/10.3969/j.issn.1672-8750.2007.04.008
  35. Xie, S., & Tao, R. (2017). Delay on Scheduled Annual Report Disclosure, Analysts Coverage and the Collapse of Stock Price. China Journal of Accounting and Economics, 1, 3-19.
  36. Zhang, J., & Liu, C. (2006). Listed Companies' Annual Reports Disclosure Delay and Earnings Quality - Based on Shenzhen Security Exchange Manufacture Data of 2003. Industrial Economics Research, 3, 32-39.
  37. Zhang, Z. (2013). Change on Scheduled Annual Report Disclosure, Timing Choice and Accounting Conservatism-Empirical Evidence from Chinese Listed Companies. Research on Economics and Management, 2, 113-121. https://doi.org/10.13502/j.cnki.issnl000-7636.2013.02.014
  38. Zhu, X., & Yang, S. (2006). Analysis on Information Content of Timeliness of Accounting Information Disclosure - Empirical Research Based on Annual Report Data of listed companies from 2002 to 2004. Accounting Research, 11, 16-23, 96.