Empirical Credit Risk Management at FMB Group Credit Union

 
 
Empirical Credit-Risk Management (ECM)
www.
CUFA
.ie
Credit Union Financial Analytics Ltd
26 July 2013
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Background – ECM Analytics
 
 
 
Research started in 2002
First Desk Top Applications in 2005
Irish Permanent tsb
Bank of Ireland Finance
First Credit Union in 2011
Tullamore Credit Union
Now operating in nine Irish Credit Unions
Ph.D completed in 2012 by Dr Patrick Shallow at
CreditExpo, Nova UCD
In parallel:
The Global Banking Crisis took place
IFRS thinking is moving from “incurred loss” to expected loss”
accounting.
 
Traditional Spread Sheet Loss Forecasting
for Retail Credit Risk
 
 
 
Deficiencies:
Rates are Generic,  Fixed, Inaccurate
Well-Performing
 Portfolio risk not identified
   Months in Arrears
L
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%
Y6
(1.5k)
Y5
(1k)
Y1
3.5k
Y2
2.7k
Y4
0.5k
Y3
1.3k
Recognition
Income/Loss
€8,000
(€2,500)
Traditional Mismatch of Income and Risk Recognition
Income and Credit Risk
Profit Illusion
100%
50%
0%
0
12
3
6
9
1
2
4
5
7
8
10
11
90%
80%
70%
60%
40%
30%
20%
10%
 
100%
 
= Resolution 49
 
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%
Months
% Loss
Forecast
 
10%
 
40%
 
20%
 
60%
 
80%
 
10%
 
20%
 
40%
 
100%
 
60%
 
= Roll Rate Provisioning
ECM Analytics – What it does
Expert Management System measuring retail credit risk
objectively
Statistical 
and
 Mathematical 
model
Experience-based Analysis
Individualised to Lender
Standardised Methodology
Based 
on the 
Lender’s
 own 
most recent
experience
.
 
 
 
ECM Benefits for Credit Unions
Reduces Bad Debts 
– by Risk Avoidance
Improves Loan Quality 
– by Risk Mitigation
Improves Loan Margin 
– by Appropriate Pricing
Improves Executive Performance 
– by providing 
  
     
Objective Analyses
Focuses and Directs Credit Control Activity, including
developing arrears trends
Compliant Reporting of Provisions and Loan Reviews
ECM Analytics – Some Clients
Lombard & Ulster
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KPMG,  PwC, FMB, MSN, Whelan Dowling, etc.
Blackrock Consultants (during Bank stress testing)
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Y6
(1.5k)
Y5
(1k)
Y1
3.5k
Y2
2.7k
Y4
0.5k
Y3
1.3k
Recognition
Income/Loss
€8,000
(€2,500)
Traditional Mismatch of Income and Risk Recognition
Income and Credit Risk
Profit Illusion
Y1
Y2
Y4
Y3
Recognition
Income & Risk
€2.5k
€0.3k
Synchronising Risk Recognition with Income Reporting –
using ECM Analytics
Income and Credit Risk
3.5k
2.7k
1.3k
0.5k
1.0k
0.8k
0.5k
0.2k
€1.9k
€0.8k
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ECM Analytics - 
Inputs
Loan characteristics and loan histories
Recovery and Write-off data (LGDs)
Portfolio Age, Maturity and Rate of Attrition
     - To calculate 
Well-Performing
 Portfolio risk
Portfolio Data
&
Write-offs
ECM Analytics
Loss Forecasts
&
Provisions
ECM Analytics - 
Outputs
Macro Portfolio and Sub-Portfolios
Loss Forecast and Provisions
Trends - short, medium and longer term
Pricing, with Risk Premiums
Analyses by e.g.
car loans, home improvement, students ,maturity, value bands, etc.
Micro Portfolio Analyses
Characteristic combinations
Risk Pricing
Loan Review
Account level analyses
Age & Maturity Analyses
Well-Performing and Arrear loans
Loan Portfolios
Loan Maturities
Loan Officers
Rescheduled Loans
Arrear Ages
Branch
 Performance
Selected Others
New
Lending
Policy
Credit
Control
Policy
Risk Rating &
Ideal Pricing
Priorities &
Performance
ECM Analytics
Management
Information
Credit Union Data
Loss 
Forecasts
 and Loss 
Provisions
Monthly Analyses of 
All
 Loan Characteristics
Risk Trend 
Analyses  –  3, 6, 12, 18 months
Rolling Micro Portfolio Analyses with 
Risk Pricing
Tracking & Analysis of
 Arrear Migrations
Marked-to-Market
 Asset Values (where relevant)
Measures Risk in the 
Well-Performing 
Portfolio
ECM Analytics Unique Features
ECM Analytics delivers:
Reduced Bad Debts 
– Improved Business Viability
Distinguishes Risk and Loan “
Hot Spots
New Lending Targeting 
and Risk Pricing
Directs marketing focus towards 
lower risk lending
Focused Credit Control 
Activity
Risk adjusted exposures
Performance Management
-
Tracks Underwriting and Credit Control performance
Risk 
Trend Analyses 
– Macro & Subsidiary Portfolios
Timely and Accurate 
Compliance Reporting 
Benefits
 
100%
50%
0%
0
12
3
6
9
1
2
4
5
7
8
10
11
90%
80%
70%
60%
40%
30%
20%
10%
 
101%
100%
= Resolution 49
 
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Months
% Loss
Forecast
10%
40%
20%
 
6.5%
60%
80%
10%
20%
40%
100%
60%
= Roll Rate Provisioning
 
= ECM Analytics - Specimen  Community CU Comparison
 
= ECM Analytics - Specimen  Industrial CU Comparison
Sample Comparison Forecasts
Sample Comparison Forecasts
Sample Comparison Forecasts
Sample Comparison Forecasts
Sample Comparison Forecasts
Sample Comparison Forecasts
ECM Analytics delivers:
Reduced Bad Debts 
– Improved Business Viability
Distinguishes Risk and Loan “
Hot Spots
New Lending Targeting 
and Risk Pricing
Directs marketing focus towards 
lower risk lending
Focused Credit Control 
Activity
Risk adjusted exposures
Performance Management
-
Tracks Underwriting and Credit Control performance
Risk 
Trend Analyses 
– Macro & Subsidiary Portfolios
Timely and Accurate 
Compliance Reporting 
Benefits
 
ECM Analytics
 
Mike Kitchen
Chairman
Ralph Swoboda
Managing Director
Pintu Jacob
IT Director
Declan Mooney
Commercial Director
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Empirical Credit-Risk Management (ECM) presentation to FMB Group Credit Union by Financial Analytics Ltd discusses the background, traditional forecasting methods, income and risk recognition, provisioning approaches, and benefits for credit unions. ECM offers expert retail credit risk management through statistical models and individualized analytics. It aims to reduce bad debts, improve loan quality, margins, and executive performance by providing objective analyses and compliant reporting.

  • Credit risk management
  • Retail credit
  • Banking analytics
  • Financial services
  • Analytics

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  1. Empirical Credit-Risk Management (ECM) Presentation To FMB Group Credit Union Financial Analytics Ltd www.CUFA.ie 26 July 2013

  2. Background ECM Analytics Research started in 2002 First Desk Top Applications in 2005 Irish Permanent tsb Bank of Ireland Finance First Credit Union in 2011 Tullamore Credit Union Now operating in nine Irish Credit Unions Ph.D completed in 2012 by Dr Patrick Shallow at CreditExpo, Nova UCD In parallel: The Global Banking Crisis took place IFRS thinking is moving from incurred loss to expected loss accounting.

  3. Traditional Spread Sheet Loss Forecasting for Retail Credit Risk 75% 80% L o s s F o r e c a s t % 70% 60% 50% 50% 40% 40% 30% 30% 20% 20% 10% 10% 0% 0 1 2 3 4 5 6 Months in Arrears Deficiencies: Rates are Generic, Fixed, Inaccurate Well-Performing Portfolio risk not identified

  4. Traditional Mismatch of Income and Risk Recognition Int Income to 8000 Risk Recognition 8,000 Y1 Y2 Y3 Y4 0.5k Y5 Y6 7,000 1.3k Income and Credit Risk 6,000 5,000 4,000 2.7k 3,000 (1.5k) Profit Illusion 2,000 (1k) 1,000 3.5k 0 0 mths 12 mths 24 mths 36 mths 48 mths 60 mths 72 mths Recognition Income/Loss 8,000 ( 2,500)

  5. Comparison of Provisioning Approaches / Loss Probabilities % 100% % Loss Forecast = Resolution 49 = Roll Rate Provisioning 100% 90% 80% 70% 60% 100% 80% 60% 60% 50% 40% 30% 20% 10% 40% 40% 20% 20% 10% 10% 0% 0 1 2 3 4 5 6 7 8 9 10 11 12 Months

  6. ECM Analytics What it does Expert Management System measuring retail credit risk objectively Statistical and Mathematical model Experience-based Analysis Individualised to Lender Standardised Methodology Based on the Lender s own most recent experience.

  7. ECM Benefits for Credit Unions Reduces Bad Debts by Risk Avoidance Improves Loan Quality by Risk Mitigation Improves Loan Margin by Appropriate Pricing Improves Executive Performance by providing Focuses and Directs Credit Control Activity, including developing arrears trends Compliant Reporting of Provisions and Loan Reviews Objective Analyses

  8. ECM Analytics Some Clients Consulting: ECM Analytics Installations: Bank of Ireland Finance Credit Unions Tullamore Bray, Cuchullain Tallaght West Prison Services Dundalk St. Dominic Navan ESSCU (in delivery) Lombard & Ulster Credit Unions Reviewing Auditors KPMG, PwC, FMB, MSN, Whelan Dowling, etc. Blackrock Consultants (during Bank stress testing)

  9. Traditional Mismatch of Income and Risk Recognition Int Income to 8000 Risk Recognition 8,000 Y1 Y2 Y3 Y4 0.5k Y5 Y6 7,000 1.3k Income and Credit Risk 6,000 5,000 4,000 2.7k 3,000 (1.5k) Profit Illusion 2,000 (1k) 1,000 3.5k 0 0 mths 12 mths 24 mths 36 mths 48 mths 60 mths 72 mths Recognition Income/Loss 8,000 ( 2,500)

  10. Synchronising Risk Recognition with Income Reporting using ECM Analytics Income Recognition Risk Recognition 8,000 Y1 Y2 Y3 Y4 0.5k 1.3k 7,000 Income and Credit Risk 6,000 2.7k 5,000 4,000 3,000 3.5k 2,000 0.2k 0.5k 0.8k 1,000 1.0k 0 0 mths 12 mths 24 mths 36 mths 48 mths Recognition Income & Risk 0.8k 2.5k 1.9k 0.3k

  11. ECM Analytics Top-Down Analysis

  12. ECM Analytics - Inputs Loan characteristics and loan histories Recovery and Write-off data (LGDs) Portfolio Age, Maturity and Rate of Attrition - To calculate Well-Performing Portfolio risk Portfolio Data & Write-offs Loss Forecasts & Provisions ECM Analytics

  13. ECM Analytics - Outputs Macro Portfolio and Sub-Portfolios Loss Forecast and Provisions Trends - short, medium and longer term Pricing, with Risk Premiums Analyses by e.g. car loans, home improvement, students ,maturity, value bands, etc. Micro Portfolio Analyses Characteristic combinations Risk Pricing Loan Review Account level analyses Age & Maturity Analyses Well-Performing and Arrear loans

  14. Management Information ECM Analytics Credit Union Data Loan Portfolios Loan Maturities Loan Officers New Lending Policy Credit Control Policy Rescheduled Loans Arrear Ages Risk Rating & Ideal Pricing Priorities & Performance Branch Performance Selected Others

  15. ECM Analytics Unique Features Loss Forecasts and Loss Provisions Monthly Analyses of All Loan Characteristics Risk Trend Analyses 3, 6, 12, 18 months Rolling Micro Portfolio Analyses with Risk Pricing Tracking & Analysis of Arrear Migrations Marked-to-Market Asset Values (where relevant) Measures Risk in the Well-Performing Portfolio

  16. Benefits ECM Analytics delivers: Reduced Bad Debts Improved Business Viability Distinguishes Risk and Loan Hot Spots New Lending Targeting and Risk Pricing Directs marketing focus towards lower risk lending Focused Credit Control Activity Risk adjusted exposures Performance Management - Tracks Underwriting and Credit Control performance Risk Trend Analyses Macro & Subsidiary Portfolios Timely and Accurate Compliance Reporting

  17. Comparison of Provisioning Approaches / Loss Probabilities % = ECM Analytics - Specimen Community CU Comparison 100% % Loss Forecast 101% = ECM Analytics - Specimen Industrial CU Comparison 100% 90% 80% 70% 60% = Resolution 49 = Roll Rate Provisioning 100% 80% 60% 60% 50% 40% 30% 20% 10% 6.5% 40% 40% 20% 20% 10% 10% 0% 0 1 2 3 4 5 6 7 8 9 10 11 12 Months Note: The shape and significance of the ECM Analytics curve will depend on the experience of each individual Credit Union.

  18. Sample Comparison Forecasts Current 1 month 2 Months 3 Months 4 Months 5 Months 6 Months Total % Actual 15,000k 1,300k 700k 500k 400k 300k 2,640k 20,840k

  19. Sample Comparison Forecasts Current 1 month 2 Months 3 Months 4 Months 5 Months 6 Months Total % Actual 15,000k 1,300k 700k 500k 400k 300k 2,640k 20,840k Res.49 0% 0% 10% 10% 20% 20% 40% Res.49 0 0 70k 50k 80k 60k 1,056k 1,316k

  20. Sample Comparison Forecasts Current 1 month 2 Months 3 Months 4 Months 5 Months 6 Months Total % Actual 15,000k 1,300k 700k 500k 400k 300k 2,640k 20,840k Res.49 0% 0% 10% 10% 20% 20% 40% Res.49 0 0 70k 50k 80k 60k 1,056k 1,316k RRP 0% 0% 10% 20% 40% 60% 80% RRP 0 0 70k 100k 160k 180k 2,640k 3,150k

  21. Sample Comparison Forecasts Current 1 month 2 Months 3 Months 4 Months 5 Months 6 Months Total % Actual 15,000k 1,300k 700k 500k 400k 300k 2,640k 20,840k Res.49 0% 0% 10% 10% 20% 20% 40% Res.49 0 0 70k 50k 80k 60k 1,056k 1,316k RRP 0% 0% 10% 20% 40% 60% 80% RRP 0 0 70k 100k 160k 180k 2,640k 3,150k ECM 6.54% 22.33% 33.72% 53.18% 55.89% 93.88% 97.80% ECM 981k 290k 236k 265k 223k 281k 2,582k 4,858k

  22. Sample Comparison Forecasts Current 1 month 2 Months 3 Months 4 Months 5 Months 6 Months Total % Actual 15,000k 1,300k 700k 500k 400k 300k 2,640k 20,840k Res.49 0% 0% 10% 10% 20% 20% 40% Res.49 0 0 70k 50k 80k 60k 1,056k 1,316k RRP 0% 0% 10% 20% 40% 60% 80% RRP 0 0 70k 100k 160k 180k 2,640k 3,150k ECM 6.54% 22.33% 33.72% 53.18% 55.89% 93.88% 97.80% ECM 981k 290k 236k 265k 223k 281k 2,582k 4,858k

  23. Sample Comparison Forecasts Current 1 month 2 Months 3 Months 4 Months 5 Months 6 Months Total % Actual 15,000k 1,300k 700k 500k 400k 300k 2,640k 20,840k Res.49 0% 0% 10% 10% 20% 20% 40% Res.49 0 0 70k 50k 80k 60k 1,056k 1,316k 27.1% RRP 0% 0% 10% 20% 40% 60% 80% RRP 0 0 70k 100k 160k 180k 2,640k 3,150k 64.8% ECM 6.54% 22.33% 33.72% 53.18% 55.89% 93.88% 97.80% ECM 981k 290k 236k 265k 223k 281k 2,582k 4,858k 100.0%

  24. Benefits ECM Analytics delivers: Reduced Bad Debts Improved Business Viability Distinguishes Risk and Loan Hot Spots New Lending Targeting and Risk Pricing Directs marketing focus towards lower risk lending Focused Credit Control Activity Risk adjusted exposures Performance Management - Tracks Underwriting and Credit Control performance Risk Trend Analyses Macro & Subsidiary Portfolios Timely and Accurate Compliance Reporting

  25. ECM Analytics Declan Mooney Commercial Director Mike Kitchen Chairman Pintu Jacob IT Director Ralph Swoboda Managing Director

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