Page 167 - 35-2
P. 167

NTU Management Review Vol. 35 No. 2 Oct. 2025




                      Table 8 (continued)  Additional Controls for Country-Level Variables

               Panel B: Significance Tests of Sum of Coefficients
                                         Coef.    t-stat  p-value    Coef.     t-stat  p-value
               UK + UK×POST             -0.260    -0.93    0.353
               UK + UK×YEAR_0506                                     0.875    1.61      0.109
               UK + UK×YEAR_0708                                     0.044    0.11      0.912
               UK + UK×YEAR_0910                                     0.138    0.23      0.820
               UK + UK×YEAR_1112                                     -0.849   -2.20     0.029
               UK + UK×YEAR_1314                                     -0.548   -1.84     0.068
               Notes: This table presents the results of the multivariate analysis that includes additional country-level
                    variables. Panel A presents the regression results, and Panel B details whether the sums of
                    the coefficients of interest are significant. DISPERSION is the dispersion of analyst forecasts,
                    measured as the standard deviation of individual analysts’ forecasts scaled by the absolute
                    value of the mean EPS forecast. POST equals one after 2005 and zero otherwise. In Column
                    (2), we replace POST with a vector of time-period indicator variables: YEAR_0506, YEAR_0708,
                    YEAR_0910, YEAR_1112, and YEAR_1314. YEAR_0506 equals one for the period 2005-
                    2006 and zero otherwise; all other time-period indicator variables are defined accordingly. The
                    t-statistics are calculated using robust standard errors clustered at the firm level.


                                               7. Conclusion



                   This paper examines how the fair value and historical cost models affect analyst
               behavior with a focus on real estate firms domiciled in the US and the UK between 2002
               and 2014, leveraging the difference in accounting standards for investment properties.

               More specifically, we exploit the fact that UK investment property firms report their
               properties at fair value, while their US counterparts report them at historical cost.
               The UK’s adoption of IFRS in 2005 allows for an analysis of whether the partial fair value
               model (under UK domestic standards) and the full fair value model (under IFRS) differ in
               their effects on analyst behavior. Moreover, using the real estate industry rather than the

               financial industry allows us to better capture the differential effect of these two reporting
               models, as firms in the real estate industry are more homogeneous, meaning that the results
               are less likely to be explained by confounding factors.

                   First, we find that, upon the UK’s shift from the partial fair value reporting model
               under domestic standards to the full fair value reporting model under IFRS, UK firms
               exhibit an immediate increase in forecast dispersion. However, this increase is temporary


                                                     159
   162   163   164   165   166   167   168   169   170   171   172