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The Effect of the Fair Value Reporting Model on Analyst Forecast Properties: Evidence from Real Estate
               Firms



               warrants further analysis through an examination of forecast error. If the effect of the
               change in accounting standards on forecast dispersion becomes attenuated over time, it is
               likely that forecast error exhibits a similar pattern. Our data enable us to assess whether
               Liang and Riedl’s (2014) results hold beyond their sample period. Consistent with our

               findings regarding the time-varying effect on forecast dispersion and forecast duration, our
               analysis reveals that forecast error exhibits an inverse U-shape pattern, meaning that while
               forecast error is higher in the period immediately following IFRS adoption, it is no longer

               significantly higher in later years.
                    Our study makes several contributions to the literature. First, it extends prior research
               by demonstrating that allowing unrealized holding gains and losses to flow through net
               income has a time-varying effect on forecast properties. These insights are valuable for
               policymakers as they evaluate the long-term impacts of changes in accounting standards.

               While prior studies point out that analysts may bear one-time costs to learn and digest the
               new standards (Wang, Hou, and Chen, 2012; Tan, Wang, and Welker, 2011; Ball, 2006),
               they do not offer empirical support for this claim. Moreover, while several studies exist

               that examine the impact of fair value accounting on financial statement users among
               samples pulled from other industries (e.g., banking, agriculture), these studies (Huffman,
               2018) focus on the aggregate impact on financial statement users, neglecting temporal
               trends. Our study, by documenting the temporary effects on forecast properties, provides
               evidence in support of the increased information-acquisition cost argument, representing

               the first attempt to investigate adaptation trends following the adoption of new standards.
                    Second, our evidence indicates that there are no differences in forecast dispersion
               or forecast error between the pre-IFRS period and the later years of the post-IFRS period

               among UK firms. This finding is linked to the notion of Financial Accounting Standards
               Board (FASB) that recognition in the equity section in the balance sheet and recognition
               in net income are equally useful for sophisticated financial statement users. Finally, our
               findings are likely to be of interest to those who develop and implement US, UK, and
               international standards in ongoing deliberations over the extent of the adoption of fair

               value accounting. Since fair value accounting is associated with lower forecast dispersion
               in the real estate industry, US standard setters may consider fair value accounting
               specifically for the real estate industry, while the International Accounting Standards Board

               (IASB) may explore the possibility of applying fair value accounting more broadly across


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