Fair value measurement in IFRS financial statements and its impact on market perception and investment decisions
Ashurbekova, Khadizhat
Promotor(s) :
Schumesch, Patrice
Date of defense : 1-Sep-2025/5-Sep-2025 • Permalink : http://hdl.handle.net/2268.2/24205
Details
| Title : | Fair value measurement in IFRS financial statements and its impact on market perception and investment decisions |
| Author : | Ashurbekova, Khadizhat
|
| Date of defense : | 1-Sep-2025/5-Sep-2025 |
| Advisor(s) : | Schumesch, Patrice
|
| Committee's member(s) : | Capodici, Giuseppina
|
| Language : | English |
| Number of pages : | 37 |
| Discipline(s) : | Business & economic sciences > Finance |
| Institution(s) : | Université de Liège, Liège, Belgique |
| Degree: | Master en sciences de gestion, à finalité spécialisée en Financial Analysis and Audit |
| Faculty: | Master thesis of the HEC-Ecole de gestion de l'Université de Liège |
Abstract
[fr] IFRS 13 establishes a single framework for fair value measurement and expands disclosure requirements to enhance clarity and comparability. Firms must explain valuation techniques, inputs, and key assumptions. This thesis examines the impact of IFRS 13 on financial reporting quality and transparency by combining a literature review with an analysis of company practices across industries. The method traces how fair value rules affect (i) the valuation of assets and liabilities, (ii) financial statement presentation and related disclosures, and (iii) the information set available to stakeholders. Results indicate that IFRS 13 generally improves transparency and comparability, offering a clearer view of financial positions and strengthening confidence in reporting. At the same time, reliance on judgment, unobservable inputs, and complex valuation models can raise costs, add volatility, and reduce cross-firm consistency. The research question is: How does the application of fair value measurement in IFRS financial statements influence market perception and investment decisions across industries?
File(s)
Document(s)
Cite this master thesis
The University of Liège does not guarantee the scientific quality of these students' works or the accuracy of all the information they contain.

Master Thesis Online


MasterThesis2025ASHURBEKOVA.pdf