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Modeling structural default risk
    for allocating deposits to money market
                  counterparties


 Basis: Agusto Ratings, Fitch Weights, Edward Altman’s “Z-score” model
parameters for financial institutions, Merton/ Moody’s KMV Model(time)
                  All ratings 2009 for 2010 placements
Demonstration of methodology

• each plot covers the period of prior to intervention
  announcements by the CBN:

• assigned z-scores were trended for the period to reflect firm
  and market changes

• these bear a simple rating system:

• Z < 1.8 = “default”,
• 1.8< Z <3.0 “troubled credit”
• ….> 3.0 “Okay”
Basis of allocation to counterparties…

           After data entry on the internal spread;
    All inputs are entered from each firm’s financials and
 transformed into comprehensive weights before assigning
           a score to allocate permissible weights.
           Qualitative factor’s may change the final output
                                                              G.Rev/
Factor                            WC/TA RE/TA EBIT/TA MVE/TL T.Assets Z-Score % Allocation Year End
Multiple                            1.20 1.40     3.30  0.60     1.00

                        ACCESS      0.93   0.05    0.05   106.21   0.03    6.51      4.20%   31-Mar-08
                      AFRIBANK      0.45   0.02    0.04    64.68   0.04    3.96      2.55%   29-Feb-08
                     PLATINUM       1.06   0.08    0.07    24.64   0.05    1.65      1.06%   29-Feb-08
                 DIAMONDBNK         0.73   0.07    0.05   267.34   0.05   16.16     10.43%   31-Dec-08
                     FIDELITYBK     1.09   0.07    0.07   192.75   0.05   11.73      7.57%   31-Dec-08
                    FIRSTINLND      0.68   0.08    0.10    45.92   0.08    2.89      1.86%   29-Feb-08
                     FIRSTBANK      0.61   0.09    0.12   209.18   0.07   12.68      8.19%   02-Jun-08
Jan 2008-July 2010: the black lines represent computed z-scores, the
                coloured lines reflect forecast levels
    Z<1.8 = “default”, 1.8<Z<3.0 “troubled credit”….>3.0 “Okay”
Jan 2008-July 2010: the black lines represent computed z-scores, the
                coloured lines reflect forecast levels
    Z<1.8 = “default”, 1.8<Z<3.0 “troubled credit”….>3.0 “Okay”
Jan 2008-July 2010: the black lines represent computed z-scores, the
                coloured lines reflect forecast levels
    Z<1.8 = “default”, 1.8<Z<3.0 “troubled credit”….>3.0 “Okay”




                                                Below required score …future
                                                    looked manageable
Jan 2008-July 2010: the black lines represent computed z-scores, the
                coloured lines reflect forecast levels
    Z<1.8 = “default”, 1.8<Z<3.0 “troubled credit”….>3.0 “Okay”




                                                    Clear sign of default
The industry average Z-scored over the period
Allocation limits are based on these screens to mitigate counterparty risk
       and form basis for negotiation with deposit placement lines
Resulting deposit placement limits… and tenures

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Modeling Structural Default Risk

  • 1. Modeling structural default risk for allocating deposits to money market counterparties Basis: Agusto Ratings, Fitch Weights, Edward Altman’s “Z-score” model parameters for financial institutions, Merton/ Moody’s KMV Model(time) All ratings 2009 for 2010 placements
  • 2. Demonstration of methodology • each plot covers the period of prior to intervention announcements by the CBN: • assigned z-scores were trended for the period to reflect firm and market changes • these bear a simple rating system: • Z < 1.8 = “default”, • 1.8< Z <3.0 “troubled credit” • ….> 3.0 “Okay”
  • 3. Basis of allocation to counterparties… After data entry on the internal spread; All inputs are entered from each firm’s financials and transformed into comprehensive weights before assigning a score to allocate permissible weights. Qualitative factor’s may change the final output G.Rev/ Factor WC/TA RE/TA EBIT/TA MVE/TL T.Assets Z-Score % Allocation Year End Multiple 1.20 1.40 3.30 0.60 1.00 ACCESS 0.93 0.05 0.05 106.21 0.03 6.51 4.20% 31-Mar-08 AFRIBANK 0.45 0.02 0.04 64.68 0.04 3.96 2.55% 29-Feb-08 PLATINUM 1.06 0.08 0.07 24.64 0.05 1.65 1.06% 29-Feb-08 DIAMONDBNK 0.73 0.07 0.05 267.34 0.05 16.16 10.43% 31-Dec-08 FIDELITYBK 1.09 0.07 0.07 192.75 0.05 11.73 7.57% 31-Dec-08 FIRSTINLND 0.68 0.08 0.10 45.92 0.08 2.89 1.86% 29-Feb-08 FIRSTBANK 0.61 0.09 0.12 209.18 0.07 12.68 8.19% 02-Jun-08
  • 4. Jan 2008-July 2010: the black lines represent computed z-scores, the coloured lines reflect forecast levels Z<1.8 = “default”, 1.8<Z<3.0 “troubled credit”….>3.0 “Okay”
  • 5. Jan 2008-July 2010: the black lines represent computed z-scores, the coloured lines reflect forecast levels Z<1.8 = “default”, 1.8<Z<3.0 “troubled credit”….>3.0 “Okay”
  • 6. Jan 2008-July 2010: the black lines represent computed z-scores, the coloured lines reflect forecast levels Z<1.8 = “default”, 1.8<Z<3.0 “troubled credit”….>3.0 “Okay” Below required score …future looked manageable
  • 7. Jan 2008-July 2010: the black lines represent computed z-scores, the coloured lines reflect forecast levels Z<1.8 = “default”, 1.8<Z<3.0 “troubled credit”….>3.0 “Okay” Clear sign of default
  • 8. The industry average Z-scored over the period
  • 9. Allocation limits are based on these screens to mitigate counterparty risk and form basis for negotiation with deposit placement lines
  • 10. Resulting deposit placement limits… and tenures