The predictive ability of entity-wide geographic sales disclosures: IAS 14R versus IFRS 8

Sandra J. Cereola , Nancy B. Nichols , Donna L. Street
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引用次数: 6

Abstract

This report examines the predictive value of geographic revenue disclosures under IFRS 8 in forecasting company revenues using four forecast models. The findings show that the predictive accuracy of IFRS 8 entity-wide geographic sales significantly outperform consolidated sales in forecasting consolidated sales one year out. The results indicate that the predictive ability of country specific entity wide geographic sales improves on average by six percent when geographic sales are reported for country of domicile or by each individually material country. The study also finds that geographic sales disclosures by companies located in countries with high and moderate enforcement regimes improve the predictive accuracy of geographic sales by five percent. These results provide evidence that the disclosure of finer geographic sales data is more decision useful and associated with improved predictive accuracy for large listed companies in Europe, Australia and New Zealand.

全实体地域销售披露的预测能力:IAS 14R与IFRS 8
本报告使用四种预测模型检验了IFRS 8下地理收入披露在预测公司收入方面的预测价值。研究结果表明,在预测一年后的综合销售额方面,IFRS 8全实体地域销售的预测准确性显著优于综合销售。结果表明,当按居住国家或每个单独的材料国家报告地理销售时,国家特定实体范围内地理销售的预测能力平均提高6%。该研究还发现,位于执法制度高和中等的国家的公司的地理销售信息披露,将地理销售预测的准确性提高了5%。这些结果证明,对于欧洲、澳大利亚和新西兰的大型上市公司来说,披露更精细的地理销售数据更有利于决策,并与预测准确性的提高有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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