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The effect of accounting comparability and earnings commonality on analyst behaviour

Tae G. Kang & Sung Jin Park

International Journal of Accounting, Auditing and Performance Evaluation2026https://doi.org/10.1504/ijaape.2026.151939article
AJG 2ABDC C
Weight
0.50

What the paper says

This paper examines the distinctive roles of accounting comparability and earnings commonality in shaping financial analysts' forecasting behaviour. Accounting comparability and earnings commonality stem from the similarities in a firm's underlying economics or its accounting practices. However, they influence analyst behaviour differently by altering the perceived cost of obtaining and processing firm-specific information versus industry-wide earnings news for forming earnings forecasts. This study presents evidence indicating that accounting comparability and earnings commonality are positively associated with the number of analysts following, suggesting that efficiency benefits from greater comparability. However, it also reveals contrasting effects: higher earnings commonality is linked to less accurate and more dispersed earnings forecasts, whereas higher accounting comparability is associated with higher quality earnings forecasts, i.e., more accurate and less dispersed earnings forecasts.

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https://doi.org/https://doi.org/10.1504/ijaape.2026.151939

Or copy a formatted citation

@article{tae2026,
  title        = {{The effect of accounting comparability and earnings commonality on analyst behaviour}},
  author       = {Tae G. Kang & Sung Jin Park},
  journal      = {International Journal of Accounting, Auditing and Performance Evaluation},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1504/ijaape.2026.151939},
}

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The effect of accounting comparability and earnings commonality on analyst behaviour

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.