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The effect of publication, format and content of Integrated Reports on analysts’ earnings forecasts

The effect of publication, format and content of Integrated Reports on analysts’ earnings forecasts
The effect of publication, format and content of Integrated Reports on analysts’ earnings forecasts
Integrated Reporting (IR) has recently emerged as an accounting innovation that combines financial and non-financial/sustainability information relevant to corporate value creation in a single report. While prior research on IR examined the supply side (i.e., motivation for and content) of IR, this study focuses on the demand side of IR. We specifically investigate whether IR strengthens financial analysts’ earnings forecasts and what aspects of IR influence better forecasting. For this purpose, we conduct (1) a within-firm analysis from a sample of IR early adopters to measure the difference between the pre- and post-levels of forecast dispersion following the IR release and (2) a between-firm matching analysis to test whether an IR release is indeed associated with a lower dispersion. We examine 156 IR adopters from 18 countries in 2014 and 2015, matched with 95 non-IR firms selected as a control group. The results show that a single IR (type 3) decreases the post-level of forecast dispersion of IR firms with a smaller pre-forecast dispersion in comparison with the control group. Moreover, IR completeness and detail are associated with the post-level of forecast dispersion of IR firms with smaller pre-forecast dispersion, while IR accountability (reporting more negative issues) and length have no effect on it. Our findings suggest that an IR presenting more content elements and more detail may decrease uncertainty about a firm’s information environment and therefore strengthen analysts’ decisions.
550-572
Edward Elgar Publishing
Kim, Suhee
21ab48a3-6543-452e-9a02-b7490eb3c699
Maas, Karen
01981d71-22e5-445e-a611-4562b538a62f
Perego, Paolo
2a3678ab-d7ad-4a07-871b-57359c53e984
Boubaker, Sabri
Cumming, Douglas
Nguyen, Duc K.
Kim, Suhee
21ab48a3-6543-452e-9a02-b7490eb3c699
Maas, Karen
01981d71-22e5-445e-a611-4562b538a62f
Perego, Paolo
2a3678ab-d7ad-4a07-871b-57359c53e984
Boubaker, Sabri
Cumming, Douglas
Nguyen, Duc K.

Kim, Suhee, Maas, Karen and Perego, Paolo (2018) The effect of publication, format and content of Integrated Reports on analysts’ earnings forecasts. In, Boubaker, Sabri, Cumming, Douglas and Nguyen, Duc K. (eds.) Research Handbook of Finance and Sustainability. Edward Elgar Publishing, pp. 550-572. (doi:10.4337/9781786432636).

Record type: Book Section

Abstract

Integrated Reporting (IR) has recently emerged as an accounting innovation that combines financial and non-financial/sustainability information relevant to corporate value creation in a single report. While prior research on IR examined the supply side (i.e., motivation for and content) of IR, this study focuses on the demand side of IR. We specifically investigate whether IR strengthens financial analysts’ earnings forecasts and what aspects of IR influence better forecasting. For this purpose, we conduct (1) a within-firm analysis from a sample of IR early adopters to measure the difference between the pre- and post-levels of forecast dispersion following the IR release and (2) a between-firm matching analysis to test whether an IR release is indeed associated with a lower dispersion. We examine 156 IR adopters from 18 countries in 2014 and 2015, matched with 95 non-IR firms selected as a control group. The results show that a single IR (type 3) decreases the post-level of forecast dispersion of IR firms with a smaller pre-forecast dispersion in comparison with the control group. Moreover, IR completeness and detail are associated with the post-level of forecast dispersion of IR firms with smaller pre-forecast dispersion, while IR accountability (reporting more negative issues) and length have no effect on it. Our findings suggest that an IR presenting more content elements and more detail may decrease uncertainty about a firm’s information environment and therefore strengthen analysts’ decisions.

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More information

Accepted/In Press date: 27 May 2017
e-pub ahead of print date: 27 April 2018

Identifiers

Local EPrints ID: 471574
URI: http://eprints.soton.ac.uk/id/eprint/471574
PURE UUID: ec0be2ba-ecb4-4a29-ab39-7dec0137dbcb
ORCID for Suhee Kim: ORCID iD orcid.org/0000-0003-0782-016X

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Date deposited: 14 Nov 2022 17:30
Last modified: 17 Mar 2024 04:13

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Contributors

Author: Suhee Kim ORCID iD
Author: Karen Maas
Author: Paolo Perego
Editor: Sabri Boubaker
Editor: Douglas Cumming
Editor: Duc K. Nguyen

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