The Textual Similarity of KAM Disclosures for Spanish Companies

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...

Descripción completa

Detalles Bibliográficos
Autores: Sheng Feng, Hsieh, Beretta Custodio, Cleber Henrique, Vasarhelyi, Miklos A.
Tipo de recurso: artículo
Fecha de publicación:2021
País:España
Institución:Universidad de Huelva (UHU)
Repositorio:Arias Montano. Repositorio Institucional de la Universidad de Huelva
Idioma:inglés
OAI Identifier:oai:ariasmontano.uhu.es:10272/20239
Acceso en línea:http://hdl.handle.net/10272/20239
Access Level:acceso abierto
Palabra clave:Key audit matter
Cosine similarity
Auditor`s report
Text mining
Descripción
Sumario: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