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The effect of integrated reporting quality on market liquidity and analyst forecast error

Felipe Zúñiga (Department of Business, Universidad Austral de Chile, Valdivia, Chile)
Roxana Pincheira (Department of Business, Universidad Austral de Chile, Valdivia, Chile)
Julie Walker (Business School, University of Queensland, Brisbane, Australia)
Michael Turner (Business School, University of Queensland, Brisbane, Australia)

Accounting Research Journal

ISSN: 1030-9616

Article publication date: 10 September 2020

Issue publication date: 10 September 2020

1508

Abstract

Purpose

The purpose of this study is to examine the effect of integrated reporting (IR) quality on both market liquidity and analyst forecast accuracy in South Africa as the only country in the world having IR as a listing requirement. This study uses the Sustainability Disclosure Transparency Index (SDTI) as a proxy for IR disclosure quality. The analysis of this study is based on the period after the publication of the international framework and its adoption by the International Reporting Committee of South Africa in 2014.

Design/methodology/approach

The companies sampled in this study are those listed on the Johannesburg Stock Exchange (JSE) from 2013 to 2015. The major factor driving the selection of this particular period was to not only analyse the existing IR practice but also investigate IR two years after King III came into force. The SDTI developed by Integrated Reporting and Assurance Services (IRAS) was used to analyse IR quality. Ordinary least squares regressions were analysed. The models include year and industry fixed effects. The variance inflation factor and its tolerance were used to test the severity of multi-collinearity. Also, alternative measures of IR quality and alternate model specifications were analysed to check the robustness of the results.

Findings

The authors find that quality of IR is associated with lower earnings forecast error. The evidence indicates that earnings forecast error is lower for firms in the materials sector of the South African economy. Consistent with prior research, the results also suggest that forecast errors are higher for companies with volatile returns and lower for larger firms. Additional analysis indicates that IR quality is positively associated with market liquidity. Overall, these findings support the virtues of IR, thus providing useful information to capital markets.

Research limitations/implications

The results obtained cannot be generalised to other jurisdictions. While the South African economy is the best setting to investigate IRs, new economies are also working actively on IR disclosures, so future research is likely to extend the literature in this field. Secondly, the availability of data constrained the sample size; however, this only mediates against finding any statistically significant result. While the IRAS database offers information about 324 JSE companies, Datastream covers only the 170 largest South African firms. In spite of the sample reduction, robust and consistent results are found in the market liquidity and analyst forecast accuracy proxies.

Practical implications

The sample period of this study (2013-2015) allows to understand disclosure behaviour after the international IR framework was published and endorsed by the JSE. The release of the IIRF gave clear guidance to firms regarding the nature and purpose of IR. Overall, the results obtained in this paper are consistent with IR expectations, thus providing useful information for investors and financial analysts. It is expected that the results might have practical implications for other nations about the cost and benefits of implementing integrated management reporting.

Originality/value

This paper contributes incrementally to the existing debate about whether disclosure information through IR has real benefits or is a passing fad. It examines the economic consequences of IR in a mandatory setting using an in-house ranking system, adapted to South Africa, designed by IRAS to determine IR quality. IRAS provides an SDTI that assesses the accuracy, consistency, completeness and reliability of quantitative data for 84 indicators based on IR and global reporting initiative aspects and subdivided into seven categories.

Keywords

Citation

Zúñiga, F., Pincheira, R., Walker, J. and Turner, M. (2020), "The effect of integrated reporting quality on market liquidity and analyst forecast error", Accounting Research Journal, Vol. 33 No. 4/5, pp. 635-650. https://doi.org/10.1108/ARJ-07-2019-0145

Publisher

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Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

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