Person: Camacho Miñano, Juana María Del Mar
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First Name
Juana María Del Mar
Last Name
Camacho Miñano
Affiliation
Universidad Complutense de Madrid
Faculty / Institute
Ciencias Económicas y Empresariales
Department
Administración Financiera y Contabilidad
Area
Economía Financiera y Contabilidad
Identifiers
4 results
Search Results
Now showing 1 - 4 of 4
Item What Best Explains Reporting Delays? A SME Population Level Study of Different Factors(Sustainability, 2021) Lukason, Oliver; Camacho Miñano, Juana María Del MarThe objective of this paper is to find out which factors best explain why SMEs delay their annual reports (DAR). Relying on various theoretical streams, we use three types of variables to explain DAR: past DAR behaviour of managers, corporate governance characteristics and occurrence of financial distress. The study is based on the whole population data from Estonia, with a total 59,294 unique firms. Two types of DAR, i.e., short- and long-term delays, are used as dependent variables in the logistic regression analysis. The paper indicates that both types of today’s DAR are best explained by the previous DAR behaviour of managers, especially in the nearest past. Financial distress has a lower, but still acceptable explanatory power, while it remains weak for the corporate governance characteristics. Firm size and age have an impact on the results. As the paper indicates the prominence of recurrent violation behaviour in explaining DAR, the legal framework and its implementation could be adjusted to take account of this fact. The linkage of DAR and financial distress suggests the inclusion of the former into credit scoring models.Item Machine learning in corporate credit rating assessment using the expanded audit report(Machine Learning, 2022) Muñoz-Izquierdo, Nora; Pérez Pérez, Yolanda; Segovia Vargas, María Jesús; Camacho Miñano, Juana María Del MarWe investigate whether key audit matter (KAM) paragraphs disclosed in extended audit reports—paragraphs in which the auditor highlights significant risks and critical judgments of the company—contribute to assess corporate credit ratings. This assessment is a complicated and expensive process to grade the reliability of a company, and it is relevant for many stakeholders, such as issuers, investors, and creditors. Although credit rating evaluations have attracted the interest of many researchers, previous studies have mainly focused only on financial ratios. We are the first to use KAMs for credit rating modelling purposes. Applying four machine learning techniques to answer this real-world problem—C4.5 decision tree, two different rule induction classifiers (PART algorithm and Rough Set) and the logistic regression methodology—, our evidence suggests that by simply identifying the KAM topics disclosed in the report, any decision-maker can assess credit scores with 74% accuracy using the rules provided by the PART algorithm. These rules specifically indicate that KAMs on both external (such as going concern) and internal (such as company debt) aspects may contribute to explaining a company’s credit rating. The rule induction classifiers have similar predictive power. Interestingly, if we combine audit data with accounting ratios, the predictive power of our model increases to 84%, outperforming the accuracy in the existing literature.Item Professional contacts and the decision to become an auditor: an analysis using linkedIn(Accounting Education, 2024) Navallas, Begoña; Del Campo Campos, Cristina; Camacho Miñano, Juana María Del MarThis paper aims to analyse how contact with professional auditors influences undergraduates’ career decisions to become an auditor as a public interest profession. Students may decide not to join an auditing company due to stereotypes of auditors and, consequently, audit firms may not find professionals with needed skills. Undergraduates were selected by a professional body to shadow an audit team for a workday. A pre-post survey was conducted with the participants of the activity to analyse their perceptions. Some years later, their LinkedIn profiles were checked to determine whether the alumni work or have been working in the auditing industry. The survey responses were linked to the employment history that the former participants have posted on LinkedIn. Our results corroborate the effectiveness of contacts with auditors that improve participants’ perceptions about their intention to become an auditor and consideration of auditing as a public interest profession. Thus, negative perceptions of auditors could be minimised with greater understanding of the job.Item Risk on financial reporting in the context of the new audit report in Spain(Revista de Contabilidad-Spanish Accounting Review, 2021) Pérez Pérez, Yolanda; Segovia Vargas, María Jesús; Camacho Miñano, Juana María Del MarAfter the financial crisis and with the greater complexity of financial reporting, stakeholders asked firms for more informative audit reports to close the audit expectation gap. In this context, the International Auditing and Assurance Standards Board (IAASB) approved a new international standard on auditor’s reports. One of the major changes is the obligation for listed companies to describe the key audit matters (KAM) in the audit report, in particular, those related to the significant financial reporting risks. This paper empirically analyses the content of the new auditor’s reports after the accounting reform recently issued in Spain and the factors that condition the KAMs disclosed by auditors. Using the sample of all Spanish listed companies, our results show that these firms mostly report on two to four KAMs and the majority of these relate to revenue recognition, impairment of goodwill and deferred tax recovery in the 2017 audit reports. Applying a multinomial linear regression, the significant variables that condition the KAMs in our sample are sector, market type, and average word count. This evidence contributes to the literature by emphasizing the importance of risks in financial reporting in extended audit reports.