|Title:||The Textual Similarity of KAM Disclosures for Spanish Companies||Authors:||SHENG-FENG HSIEH
Custodio, Cleber Beretta
Vasarhelyi, Miklos A.
|Keywords:||Auditor`s report | Cosine similarity | Key audit matter | Text mining||Issue Date:||1-Jan-2021||Journal Volume:||21||Start page/Pages:||183-202||Source:||International Journal of Digital Accounting Research||Abstract:||
We investigate and document the textual similarity of key audit matter (KAM) disclosures by using KAM items in auditor’s reports of Spanish companies in fiscal years 2017 and 2018. The main objective is to understand how similar KAMs are disclosed from one year to another. Following prior literature, we use the cosine similarity to measure the textual similarity between KAM items in terms of word usage. We classify and analyze KAM items for two consecutive years based on the following three combinations: (1) KAM topic, (2) KAM topic and auditor, and (3) KAM topic, auditor, and industry of the client being audited. The results indicate that auditors from the same accounting firm tend to have a recurring textual similarity under each KAM topic, and such similarity increases for clients within the same industry. The results add empirical evidence to the understanding of the recurring textual similarity of KAM disclosures.
|Appears in Collections:||會計學系|
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