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appropriate model estimator. Therefore, for the subsequent section, the analysis and discussion on the
               firm-specific determinants of indirect financial distress costs are based on the results of the RE model.


                                               Table 4. Panel Specification tests
                                                            p-values of the tests
                                            F-test     BP-LM      Hausman         Technique

                                              0.0000     0.0000       0.0600    Random Effect

               Once the appropriate model was obtained (RE), various diagnostic tests were then performed to check
               for  the  presence  of  severe  multicollinearity,  heteroskedasticity  and  serial  correlation  problems.  As
               presented in Table 5, the diagnostic checks on the baseline model (RE) indicated the presence of serial
               correlation (p-value < 0.05) and heteroskedasticity problems (p-value < 0.05) problem. To rectify the
               problem,  following  the  suggestion  by  Hoechle  (2007),  a  remedial  procedure  has  been  carried  out
               using the random effect GLS regression with cluster option.


                                            Table 5. Diagnostic Tests for Static Model
                                                     P-values of the tests
                               VIF        H         SC                         Strategy
                               1.09     0.0000    0.0120       Random effects GLS regression model with
                                                                           cluster option
               Notes: (1) VIF: variance inflation factors, (2) H: heteroskedasticity & (3) SC: serial correlation

               Considering  the  various  diagnostic  tests  that  have  been  conducted  and  the  remedial  procedure
               undertaken, this paper may say that there is enough evidence to conclude that the examined statistical
               test  satisfies  the  key  assumptions  of  linear  regression.  As  shown  in  Table  6,  the  results  of  the
               regression results suggest that the model fits the data well at the 1% level. The result of the regression
               also suggests that leverage (debt-equity ratio), efficiency (fixed asset turnover and return on invested
               capital) and firm size were found to have a significant relationship with the profitability of the firms.
               The  results  also suggest  that liquidity  of  the  firms  and  firm  size  do  not  appear  to  be  significantly
               related to a firm’s profitability. In addition to that, return on invested capital seems to have the greatest
               influence on the level of profitability, which is explained by the highest t-value of 16.02.

                                Table 6. Determinants of Profitability: Consumer Product and Services
                                                                                   roe
                 Quick Ratio                                                  -0.0045 (-0.89)
                 Current Ratio                                                -0.0008 (-0.17)
                 Debt Equity Ratio                                          -0.2241*** (-3.62)
                 Fixed Asset Turnover                                        -0.0010** (-2.52)
                 Return on Invested Capital                                  1.0975*** (16.06)
                 Firm Size                                                   0.0664*** (3.17)
                 Constant                                                   -0.3280*** (-2.63)
                 N                                                              228.0000
                 r2_o                                                            0.9109
                 p                                                               0.0000
                 chi2                                                           688.1942
               Notes: t statistics in parentheses
               * p < 0.1, ** p < 0.05, *** p < 0.01






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