Abstract

"This study aimed to explore the company-specific and market factors driving fixed asset revaluation (FAR) in an emerging economy. Our research was based on a sample of 142 companies listed on the Dhaka Stock Exchange (DSE) – the main bourse of Bangladesh. The binary logistic regression model was the main instrument used to measure the significance level of variables and test the hypotheses. The study found that market conditions, profitability, nationality, debt-to-asset ratio, fixed assets intensity, and company size could influence FAR decisions significantly. But, company age and current ratio have failed FAR decisions insignificantly. Since there are suspicions about the creative practice of FAR, users need to be cautious when explaining and utilizing the information communicated via financial statements of companies that revalued their assets. Besides, regulators should strictly enforce the laws to avoid selective disclosures, and companies should fully disclose market-sensitive information so that corporate stakeholders promptly receive FAR-related disclosures. This paper could serve a large assortment of stakeholders interested in knowing the drivers behind and effects of FAR. Inclusion and the explanation of three new factors, corporate nationality, age, and market condition, could be an extension of the existing FAR literature. Keywords: Fixed asset revaluation, Fair value, IAS 16, Stock market crash, PP&E"

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.