scholarly journals Does preventive regulation reduce stock price synchronicity? Evidence from Chinese annual report comment letters

2021 ◽  
pp. 100203
Author(s):  
Xiaomin Hao ◽  
Yonghai Wang
Keyword(s):  
Stock Price ◽  
Annual Report ◽  
Stock Price Synchronicity ◽  
Comment Letters

Stock Price Synchronicity and Skewness

2013 ◽  
Author(s):  
Omar Farooq ◽  
Mohammed Bouaddi ◽  
Mohamed Douch
Keyword(s):  
Stock Price ◽  
Stock Price Synchronicity

Analysts' Information Acquisition and Stock Price Synchronicity: A Regulatory Perspective from China

2018 ◽  
Vol 33 (1) ◽  
pp. 153-179 ◽  
Author(s):  
Haiyan Jiang ◽  
Donghua Zhou ◽  
Joseph H. Zhang
Keyword(s):  
Insider Trading ◽  
Private Information ◽  
Stock Prices ◽  
Information Acquisition ◽  
Stock Price ◽  
Specific Information ◽  
Stock Price Synchronicity ◽  
Playing Field ◽  
Information Advantage ◽  
Private Information Acquisition

SYNOPSIS Against the backdrop of the Chinese Directive 40 (China's Reg FD) issued in 2007 as an attempt to curb insider trading and to level the information playing field, this study investigates whether analysts' private information acquisition influences the extent to which firm-specific information is impounded into stock prices, i.e., stock price synchronicity, and how the restrictions on selective disclosures imposed by Directive 40 have shaped the relationship between analyst information acquisition and synchronicity. Using a pre-Directive 40 sample, we show that synchronicity is negatively related to analysts' private information acquisition, which provides support for the “information advantage” argument of analysts' information production. However, the ability of analysts' private information acquisition in improving firm-specific information incorporated into stock price is mitigated post-Directive 40 due to a restriction on selective disclosures and/or private communication. Moreover, we find that this regulatory impact varies for firms being followed by affiliated analysts versus non-affiliated analysts. JEL Classifications: G14; G15; G17; G18.

The Value of Assurance on Voluntary Nonfinancial Disclosure: An Experimental Evaluation

2009 ◽  
Vol 28 (1) ◽  
pp. 137-151 ◽  
Author(s):  
Paul J. Coram ◽  
Gary S. Monroe ◽  
David R. Woodliff
Keyword(s):  
Attribution Theory ◽  
Performance Indicators ◽  
Stock Price ◽  
Annual Report ◽  
Corporate Disclosure ◽  
Financial Report ◽  
Nonfinancial Performance ◽  
Assurance Services ◽  
Context Specific

SUMMARY: This study examines whether assurance on the voluntary provision of nonfinancial performance indicators affects the stock price estimates of a group of sophisticated financial report users. We conducted an experiment where participants were provided with a case study containing excerpts from a hypothetical company's annual report. Nonfinancial performance and assurance were manipulated in a 2 (positive and negative nonfinancial performance indicators) ×2 (assurance and no assurance) +1 (control condition) between-subjects design. After reading the case materials, the participants indicated whether they believed the company's stock price would increase or decrease based on the information provided. As expected, we found that the nonfinancial performance indicators had a significant effect on stock price estimates. In addition, consistent with attribution theory, an assurance report on the voluntarily disclosed nonfinancial performance indicators only had a significant effect on stock price estimates when the nonfinancial performance indicators were positive, suggesting that the value of assurance is context-specific. Our research contributes to the discussion on the value of expanded assurance services and also on the value of enhanced corporate disclosure.

Annual report disclosure timing and stock price crash risk

2020 ◽  
Vol 62 ◽  
pp. 101392
Author(s):  
Tao Li ◽  
Cheng Xiang ◽  
Zhuo Liu ◽  
Wenwu Cai
Keyword(s):  
Stock Price ◽  
Annual Report ◽  
Crash Risk

Discussion: “Dispersion in Analysts' Earnings Forecasts as a Measure of Uncertainty”

1998 ◽  
Vol 13 (3) ◽  
pp. 271-274 ◽  
Author(s):  
Lawrence D. Brown
Keyword(s):  
Stock Price ◽  
Annual Report ◽  
Earnings Forecasts ◽  
Analyst Forecast ◽  
Earnings Forecast ◽  
Data Set ◽  
Forecast Dispersion ◽  
Forecast Revision ◽  
Analyst Earnings ◽  
The Impact

This paper tackles an interesting question; namely, whether dispersion in analysts' earnings forecasts reflects uncertainty about firms' future economic performance. It improves on the extant literature in three ways. First, it uses detailed analyst earnings forecast data to estimate analyst forecast dispersion and revision. The contrasting evidence of Morse, Stephan, and Stice (1991) and Brown and Han (1992), who respectively used consensus and detailed analyst data to examine the impact of earnings announcements on forecast dispersion, suggest that detailed data are preferable for determining the data set on which analysts' forecasts are conditioned. Second, it relates forecast dispersion to both analyst earnings forecast revision and stock price reaction to the subsequent earnings announcement. Previous studies related forecast dispersion to either analyst forecast revision (e.g., Stickel 1989) or to subsequent stock price movements (e.g., Daley et al. [1988]), but not to both revision and returns. Third, it includes the interim quarters along with the annual report. In contrast, previous research focused on the annual report, ignoring the interims (Daley et al. [1988]).

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