The Impact of Earnings Announcement Date Concentration on the Timeliness of Analyst Forecasts [Paper Introduction Series No. 3]

Introduction

I apologize for the long gap between posts. This time, as part of my paper introduction series, I would like to introduce “The Impact of Earnings Announcement Date Concentration on the Timeliness of Analyst Forecasts” by Nawata.

Overview

The significance of this study lies in the fact that it demonstrates how constraints on physical information processing capacity hinder market efficiency even in the digital age. Furthermore, I found the quantitative analysis of how the “information congestion phenomenon” caused by the Tokyo Stock Exchange’s 45-day rule affects analyst behavior to be unique and highly informative.

Content of this Paper

This paper was written to clarify the impact of the concentration of corporate earnings announcement dates on the timeliness of sell-side analyst earnings forecasts. Analyst reports and similar documents are factors that significantly influence stock prices, but because earnings announcement dates are concentrated, the paper examines the stock price movements of companies that were covered versus those that were not. The verification results confirm that the concentration of earnings announcement dates reduces the timeliness of analyst forecasts, and that this decline in timeliness is more pronounced for smaller companies. Specifically, it reveals the reality that 807 companies, equivalent to 35.4% of companies with fiscal years ending in March 2023, announced their results on May 12th. Under this congested state:

1. The number of companies that can be analyzed per analyst decreased from a weekly average of 5.7 to 3.2.

2. The average number of days from the earnings announcement to the forecast revision shows a 2.5-fold difference, from 7.3 days for large companies to 18.5 days for small and medium-sized enterprises.

These data are presented.
In Japan, about 2,200 companies, or roughly half of all listed companies, have fiscal years ending in March. Due to the TSE’s 45-day rule, they are required to disclose their earnings between April and mid-May, but in reality, they are concentrated in the second week of May. This concentration phenomenon causes an “information flood paradox.” In other words:

1. Increase in information volume ≠ Improvement in information transmission efficiency

2. Asymmetry in the allocation of analysts' human resources

3. Strategic behavior where companies with poor performance intentionally choose concentrated announcement dates

It is demonstrated that this creates a triple distortion.
As a research method, the paper relies on the model by Driskill et al. [2020] and uses companies that announced their earnings at the same time as the target company within the analyst's coverage as explanatory variables. Additionally, the timeliness of the forecast, measured by the number of days elapsed from the earnings announcement date to the analyst forecast announcement date, is used as the dependent variable. Furthermore, after the aforementioned verification, additional verification is conducted on the factors affecting timeliness according to company size and other attributes.

Conclusion

It had been pointed out that market efficiency is impaired by the concentration of earnings announcement dates, but I believe this paper, which focuses on and verifies analyst forecasts, is extremely useful. Reading this paper was also the first time I learned that managers of companies with poor performance are more likely to choose days when earnings announcements are concentrated.
As for future policy recommendations, based on the research results above, one could consider providing incentives to stagger fiscal periods (e.g., discounts on listing maintenance fees) or the active use of AI-driven financial data processing by analysts. In Japan, the TSE is proceeding with stricter listing maintenance criteria and reorganization is underway.
Furthermore, as stated, the research results of this paper are expected to contribute to analyzing the impact of introducing quarterly financial reporting and clarifying the interaction with ESG information disclosure. In particular, the analysis of how the expansion of sustainability information disclosure affects the problem of earnings announcement concentration can be said to be an extremely important theme in practice. I hope that the issues pointed out in this paper will be resolved and that market efficiency will increase, leading to more appropriate stock price valuations.

References

https://www.saa.or.jp/dc/sale/apps/journal/JournalShowDetail.do?goDownload=&itmNo=41095