10K Complexity and the Market Efficiency and Information Asymmetry Implications of Analysts’ Annual Earnings Forecasts

50 Pages Posted: 11 Mar 2019 Last revised: 25 Oct 2021

See all articles by Jamie Diaz

Jamie Diaz

College of William and Mary

Kenneth Njoroge

College of William and Mary - Mason School of Business

Philip B. Shane

College of William & Mary - Raymond A. Mason School of Business

Date Written: January 21, 2020

Abstract

This paper examines whether 10K complexity has unintended consequences in terms of impairing price discovery in capital markets. More specifically, we examine the impact -- on information asymmetry and market efficiency -- of sell-side financial analysts’ first revised forecasts following publication of high- versus low-complexity 10Ks. We find that: (1) the generally mitigating effect of analysts’ forecasts on information asymmetry documented in prior literature dissipates with 10K complexity; (2) analyst underreaction to 10K-related information increases with complexity; and (3) the impact of analyst underreaction on stock price efficiency increases with 10K complexity. Our results suggest that analyst forecasting behavior in response to complex 10K-related information constrains price discovery by creating market frictions due to information asymmetry and market inefficiency.

Keywords: 10K complexity, information asymmetry, analyst forecasts, market efficiency

JEL Classification: d52, d82, g12, g14, m40, m41,

Suggested Citation

Diaz, Jamie and Njoroge, Kenneth and Shane, Philip B., 10K Complexity and the Market Efficiency and Information Asymmetry Implications of Analysts’ Annual Earnings Forecasts (January 21, 2020). Available at SSRN: https://ssrn.com/abstract=3337793 or http://dx.doi.org/10.2139/ssrn.3337793

Jamie Diaz

College of William and Mary ( email )

P.O. Box 8795
Williamsburg, VA 23185
United States
7572212932 (Phone)

Kenneth Njoroge

College of William and Mary - Mason School of Business ( email )

P.O. Box 8795
Williamsburg, VA 23187-8795
United States

Philip B. Shane (Contact Author)

College of William & Mary - Raymond A. Mason School of Business ( email )

P.O. Box 8795
Williamsburg, VA 23185
United States

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