zre brochure

8
Unlocking credit cycles

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Page 1: ZRE Brochure

Unlocking credit cycles

Page 2: ZRE Brochure

Z-RiskEngine.com

Wholesale credit risk over the past 30-40 years has exhibited pronounced cycles – with losses varying widely over time and across industries and regions.

Coupled with new regulations for IFRS9/CECL and Stress Testing – this creates the need for Point-in-Time (PIT) models – PIT models for PD, LGD and EAD are capable of accurately assessing credit losses (ECLs) at all points in the cycle – across all borrowers and individual exposures.

Unlocking Credit Cycles

Page 3: ZRE Brochure

Z-RiskEngine.com

END TO END BUSINESS SOLUTION Brought to you by Aguais And Associates In Association with Deloitte

Aguais And Associates, the makers of Z-RiskEngine, have developed a strategic association with Deloitte, a global accounting and advisory firm that allows the combination of Z-RiskEngine’s solution and Deloitte’s substantial advisory resources to provide a full end-to-end solution – implemented, validated and programme managed by Deloitte.

Z-RiskEngine is an advanced solution for IFRS9/CECL and Stress Testing – developed and refined over the last 10 years – providing a single integrated customisable, Batch Analytics Solution for Wholesale, Corporate and Commercial Credit Portfolios – to successfully satisfy complex regulations.

Why use Z in Z-RiskEngine? ‘Z’ represents our notation for credit cycles. First used in our publications in 1998, Z is the key to measuring PIT risks and unlocking credit cycles.

DeloitteBusiness Impact Assessment

Quantitative Impact Study

Gap Assessment QIS

Solutions Implementation

Technical Advisory

Z-RiskEngineBatch Solution

Custom Z Model Calibration

Tech Model Support for Compliance

Ongoing Calibration Updates

Page 4: ZRE Brochure

Z-RiskEngine.com

SOLUTION ARCHITECTURE

Existing Client Models and Data: PD, LGD, EAD and Stress Testing

PIT MODULE

Custom Industry-Region Credit Cycles provide:

Consistent set of credit indices used in all models, reducing model complexity

Assessment of PIT-ness of existing models

Conversion of hybrid model output to PIT

PIT PD, LGD and EAD measures

Fully automated batch processing based solution

Scenario Based Loss

Expected Credit Loss

Significant Deterioration Criteria from Client

UnconditionalMulti Period

PIT PD

PIT LGD

PIT EAD

Simulation #n

Simulation #1000

Simulation #2

Simulation #1

Probabilities and Scenarios from Client or Regulator

Simulation

Bridge

ECL MODULE SCENARIO FORECASTING

MODULE

Scenario #n

Scenario #2

Scenario #1

ConditionalMulti Period

PIT PD

PIT LGD

PIT EAD

Z-RiskEngine is a SAS® software based solution and is flexible to how SAS® is implemented within an institution. Utilising client data and existing credit and stress testing models, the solution provides full batch processing capability to apply customised industry/region credit indices and calculate credit losses.

Page 5: ZRE Brochure

Z-RiskEngine.com

WHY CREDIT CYCLES MATTER

BATCH PROCESSING

Understanding industry-region credit cycles are paramount to converting TTC credit models into PIT ones before assessing ECLs – as can be seen in the graphic on the right – over the last 30 years using various measures like Credit Edge™ EDFs, US Loan Charge-offs and Moody’s Default rates – credit cycles are real and accurately assessing them is a key capability of Z-RiskEngine that supports IFRS9/CECL and Stress Testing in a single solution suite.

500,000+ PIT PDs, LGDs, EADs

x10 years

500,000+ Stressed Losses

x10 years

500,000+ IFRS9/CECL Expected Credit Loss x10 years

BATCHPROCESSING

Client Model Parameters

Macro Economic Data

Client PD, LGD, EAD Data

Market Implied PDs

Using industry and regional credit cycles customised to each financial institution’s own footprint and the batch processing capabilities of SAS®, the solution provides the full ECL calculations for each facility, counterparty, portfolio or any customised user defined segment in a few hours.

Page 6: ZRE Brochure

Z-RiskEngine.com

THE BUSINESS CASE: A proven solution that can provide substantial benefits

Low Build and Operational Cost

Solution batch automation leads to low build and operational

costs at a time of large regulatory changes

Accuracy

More accurate and dynamic assessment of PIT risk (default

rate, losses and exposure) customised to each institution’s

portfolio of customers

Compliance

Trusted approach approved by UK regulators when AAA team

built Basel II suite of models for two UK based global banks

ABOUT Developers of world-leading Credit Analytic Solutions

Aguais And Associates (AAA) was founded in 2014 to bring Z-RiskEngine’s world leading solution to market globally to support key regulatory initiatives for IFRS9/CECL and Stress Testing. The team successfully achieved two Basel II Waivers at large UK global investment banks and has pioneered dual PIT-TTC framework, implementing the approach for the first time in 2005. This PIT-TTC solution was officially approved in these two Basel II Waivers.

The AAA management team has over 60 years combined experience developing, validating and implementing advanced wholesale credit models.

Page 7: ZRE Brochure

Z-RiskEngine.com

Scalable

One common scenario-based batch solution for any regional or geographic footprint and across regulator applications (Basel II/III, IFRS9/CECL and Stress Testing)

but with customised models

Lower project execution risk

End-to-end business model where Deloitte provides

complementary services for implementation, process design,

benchmarking and review services, reducing project

execution risk

Integrated

One common solution covering all types of corporate and

commercial credit models (PD, LGD and EAD) and all types of

wholesale portfolio

CONTACT To find out more about Z-RiskEngine please contact:

Dr. Scott D. Aguais: +44 (0)7800 [email protected]

Gaurav Chawla: +44 (0)7833 [email protected]

Aguais And Associates Ltd20-22 Wenlock RoadLondon N1 7GU, UK

[email protected] Z-RiskEngine.com

Page 8: ZRE Brochure

20-22 Wenlock RoadLondon N1 7GU, UK

[email protected]

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