The dissertation, 'The information content of deferred tax items', examines the information content of deferred tax items. Technically, deferred taxes are assets or liabilities that arise from temporary differences between the carrying amount of an asset or liability in the financial statements and its tax base. Their recognition intends to record the future tax consequences of these differences. To investigate the information content of deferred tax items, this dissertation uses the systematic literature review methodology (research paper 1) and empirical analyses (research papers 2; 3). The research paper, 'Financial accounting for deferred taxes: A systematic review of empirical evidence', identifies, systematizes, and evaluates the state of the art with the goal of synthesizing evidence on the value relevance of deferred taxes, their use to manage earnings and their ability to identify earnings management. The empirical analyses are based on these findings and evaluate 1.5 thousand German IFRS financial statements. They examine the value relevance of deferred tax items and related disclosures under IAS 12 ('The value relevance of deferred taxes and related disclosures under IAS 12'), as well as the relationship between individual components of deferred taxes and future tax cash flows ('Deferred taxes under IFRS: Which components predict future tax cash flows'). The results of the publications show that deferred tax items have significant information content for capital providers, as they subsume information about future tax cash flows and the performance of an entity. Their information content depends on several factors. These are the association of individual deferred tax components with future tax cash flows, private information signaled by deferred tax items and disclosures, and the suspicion that specific deferred tax items identify earnings management or are used to manage earnings. So, this dissertation makes an important contribution to a deeper understanding of the information content of deferred tax items and related disclosures. Each publication has developed methodological and content-driven novelties to contribute comprehensively to previous research. Due to the considerable size of the underlying database, the results of this dissertation are of statistical relevance.
| Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:90521 |
| Date | 10 April 2024 |
| Creators | Görlitz, Anna Miriam |
| Contributors | Dobler, Michael, Günther, Thomas, Schoop, Eric, Technische Universität Dresden |
| Source Sets | Hochschulschriftenserver (HSSS) der SLUB Dresden |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/publishedVersion, doc-type:doctoralThesis, info:eu-repo/semantics/doctoralThesis, doc-type:Text |
| Rights | info:eu-repo/semantics/openAccess |
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