Analyst Coverage, Unique Linkages with Firms, and Earnings Forecasting Accuracy

DOI

10.2991/ssmi-19.2019.53How to use a DOI?

Keywords

Analyst Coverage; Unique Linkages; Informativeness; Earnings Forecasting Accuracy.

Abstract

We propose a characteristic-model to separate the linkages information between analysts and listed firms from analyst coverage and investigate the impact of analysts’ unique linkage with target firms on earnings forecasting accuracy. Regression results indicate that keeping intense interactions with the target firm will maintain easy access to firm-specific information and produce better earnings forecasting. Our paper contributes to the literature on the informativeness of analyst coverage and provides an effective approach to quantify the relationship between analysts and public firms.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jianlei Hou
AU  - Shangmei Zhao
AU  - Haijun Yang
PY  - 2019/12
DA  - 2019/12
TI  - Analyst Coverage, Unique Linkages with Firms, and Earnings Forecasting Accuracy
BT  - Proceedings of the 2nd International Symposium on Social Science and Management Innovation (SSMI 2019)
PB  - Atlantis Press
SP  - 180
EP  - 185
SN  - 2352-5398
UR  - https://doi.org/10.2991/ssmi-19.2019.53
DO  - 10.2991/ssmi-19.2019.53
ID  - Hou2019/12
ER  -