10
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

Modeling Structural Default Risk

Embed Size (px)

Citation preview

Page 1: Modeling Structural Default Risk

Modeling structural default riskfor 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

Page 2: Modeling Structural Default Risk

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”

Page 3: Modeling Structural Default Risk

Basis of allocation to counterparties…

Factor WC/TA RE/TA EBIT/TA MVE/TL G.Rev/ 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

FCMB 1.86 0.14 0.09 192.65 0.07 11.84 7.64% 30-Jun-08

GUARANTY 0.71 0.07 0.07 158.11 0.05 9.61 6.20% 30-Apr-08

INTERCONTINENTAL 0.76 0.10 0.10 46.02 0.07 2.90 1.87% 02-Apr-08

OCEANIC 0.81 0.05 0.05 63.91 0.04 3.96 2.55% 29-Feb-08

SKYEBANK 0.91 0.07 0.07 42.25 0.05 2.68 1.73% 28-Feb-08

IBTC 2.79 0.17 0.17 611.00 0.12 37.09 23.94% 02-Oct-08

STERLNBANK 2.79 0.17 0.17 72.07 0.12 4.75 3.07% 31-Dec-08

UBA 1.00 0.09 0.09 110.19 0.06 6.78 4.37% 01-Feb-08

UBN 1.06 0.09 0.09 81.43 0.07 5.06 3.27% 02-Oct-08

UNITYBNK 0.78 0.08 0.09 151.95 0.07 9.26 5.98% 02-Oct-08

WEMABANK 7.39 0.14 0.10 15.69 0.07 1.89 1.22% 31-Mar-08

ZENITHBANK 0.77 0.08 0.08 56.80 0.06 3.55 2.29% 01-Feb-08

100.00%MEDIAN SCORE 4.80%

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

Page 4: Modeling Structural Default Risk

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”

Page 5: Modeling Structural Default Risk

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”

Page 6: Modeling Structural Default Risk

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

Page 7: Modeling Structural Default Risk

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

Page 8: Modeling Structural Default Risk

The industry average Z-scored over the period

Page 9: Modeling Structural Default Risk

Allocation limits are based on these screens to mitigate counterparty risk and form basis for negotiation with deposit placement lines

Page 10: Modeling Structural Default Risk

Resulting deposit placement limits… and tenures