Page 421 - Special Topic Session (STS) - Volume 3
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STS552 Natalia Nehrebecka
            borrowers. In contrast to debt securities that represent concentrated markets,
            with several banks holding large shares of debt securities. Over half of the off-
            balance sheet exposure was, however, open credit lines.
                For the comparison, I consider two models: (1) Quantile regression (QR)
            and (2) Bayesian Model Averaging (BMA). Table 2 shows the estimation results
            of QR for the 5th, 25th, 50th, 75th and 95th per centile and the corresponding
            BMA estimates.

             Table 2: Parameter estimates Quantile Regression and Bayesian Model
                                            Averaging

                                                      PIT
                                                                                BMA

              Variables                                                         Post
                          Q(0.05)    Q(0.25)   Q(0.50)    Q(0.75)    Q(0.95)
                                                                                Mean
                                                                               (Post SD)
                                                                                 PIP

                         0.0028***   0.000192   -0.0048***   -0.0061***   -0.0004***   -0,0031

               ln_EAD                                                          (0,0004)
                          (0.0002)   (0.0003)   (0.0003)   (0.0002)   (0.0000)
                                                                                 1

                         0.0673***   0.163***   0.117***   0.0491***   0.0011***   0,1213
               Collateral
               Indicator                                                       (0,0013)
               (No, Yes)   (0.0002)   (0.0003)   (0.0003)   (0.0002)   (0.0000)
                                                                                 1

                         -0.335***   -0.120***   -0.0720***   -0.0361***   -0.0054***   -0,0699
               Days Past
               Due (less                                                       (0,0053)
               than 90    (0.0032)   (0.0048)   (0.0051)   (0.0031)   (0.0003)
                days)                                                            1


                         -0.506***   -0.343***   -0.178***   -0.0595***   -0.0072***   -0,224
               Days Past
              Due (more
                                                                               (0,0032)
               than 90    (0.0019)   (0.0029)   (0.0030)   (0.0018)   (0.0002)
                days)
                                                                                 1
                         -0.0808***   -0.0114***   -0.00277***   0.00175***   0.0000   -0,01
              Time spent
               in default                                                      (0,0015)
               (months))   (0.0005)   (0.0007)   (0.0008)   (0.0004)   (0.0000)
                                                                                 1
                         0.00913***   0.0381***   0.0366***   0.0122***   -0.0000   0,0353


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