Current Expected Loss Model: A Practical Implementation … · 2017-02-04 · CECL Overview •...

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WEALTH ADVISORY | OUTSOURCING | AUDIT, TAX, AND CONSULTING Investment advisory services are offered through CliftonLarsonAllen Wealth Advisors, LLC, an SECregistered investment advisor. | ©2017 CliftonLarsonAllen LLP Current Expected Loss Model: A Practical Implementation Approach for Community Banks David Heneke, CPA, CISA, Principal Liz Rider, CPA, Principal

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WEALTH ADVISORY  |  OUTSOURCING |  AUDIT, TAX, AND CONSULTING

Investment advisory services are offered through CliftonLarsonAllen Wealth Advisors, LLC, an SEC‐registered investment advisor.  | ©2017 CliftonLarsonAllen LLP

Current Expected Loss Model: A Practical Implementation Approach for Community Banks 

David Heneke, CPA, CISA, PrincipalLiz Rider, CPA, Principal

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What We Hope You Take Away

• High level understanding of the standard’s requirements

• Implementation timelines• Possible model options• Most importantly, less confusion and fear about the implementation of this standard than when you walked in this room

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The Standard

ASC 326 Financial Instruments – Credit Losses: Measurement of Credit Losses on Financial Instruments

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CECL Overview

• Issued June 16, 2016• Measure expected losses over life of loan• http://www.fasb.org/cs/ContentServer?c=Document_C&pagename=FASB%2FDocument_C%2FDocumentPage&cid=1176168232528

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ALLL Amount

• Unadjusted historical lifetime loss experience• Plus or minus: Q Factor adjustments• Plus or minus: adjustment for reasonable and supportable forecasts

• Equals: ALLL

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Implementation Timeline

How Far Along Do I Need to Be and Who Needs to Be Involved?

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Effective Dates for Banks with Calendar Year‐ends

Entities Document(s) Effective date

SEC filers 10‐Q and Call Report March 2020

Non‐SEC public business entities

Call Report March 2021

All other entities Financial statements and Call Report

December 2021

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Public Business Entity

• Public Business Entity Conclusion– Current evaluation– Re‐evaluation

• Need procedures to support initial conclusion and update annually, or more frequently if circumstances require

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Public Business Entity• Entities not meeting the definition of a Public Business Entity– Almost all credit unions– Mutuals– S Corporations with contractual agreements restricting sale or transfer to preserve the S Corp election

– Most banks with assets under $500 million

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CECL Implementation ApproachPHASE 1 ‐ CREATE ROADMAP

Review CECL Standard  (ASU 2016‐13) in Detail

Board and Management EducationEstablish a Multi‐discipline CECL Implementation Committee

Determine PBE Status/Effective Date for Institution

Establish a Project PlanExamine Data Resources and Challenges and Processes

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PHASE 2 ‐ MODELING AND SCENARIOSIdentify Scenarios and Modeling Options

Develop Data from Internal and External SourcesValidate Data

 Parallel Models

CECL Implementation Approach

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CECL Implementation Approach

PHASE 3 ‐ FINAL MODEL AND VALIDATIONIdentify Relevant DataNarrow Model Selection

Identify Final CECL Model ApproachValidate Model Results

PHASE 4 ‐ POST‐IMPLEMENTATION (CONTINUOUS)Monitor Model Performance

Backtest Model Results Refine Model Input and Calculations

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Bank Personnel to Include

• Chief Financial Officer• Chief Risk Officer/Chief Audit Executive• Chief Lending Officer• Chief Information Officer

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Example Timeline

• Establish an implementation timeline– June 2016 to June 2017 – Develop Implementation Plan– June 2016 to  June 2018 – Model Evaluation and Data Retention

– June 2018 to  June 2020 – Model Selection and Application– June 2020 to January 2021 – Finalization and Validation

Note:  Example dates are for non‐PBE

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Should the Bank Increase its ALLL in Anticipation of CECL?

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Model Selection

How Do I Decide What Model to Use?

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Available Methods

• Very flexible• Choice of methods include:

• Loss‐rate methods• Probability of default and loss given default• Migration analysis• Vintage analysis

• Any reasonable approach or approaches may be used – guidance is not prescriptive.

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Let’s Look at Live Data

• We are going to look at three example models based on a real bank’s loan data:• Static Pool/Migration Analysis• Vintage Analysis• Discounted Cash Flow/Probability/Loss Given Default Analysis

• The following slides are screen shots of similar examples for your reference.

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Simple Migration Analysis Example

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Historical Risk Rating  Rating Description Loan Balances Loan Percentage

1 No Risk 1,628,520               0.27%2 Minimal Risk 2,852,933               0.47%3 Better Than Average Risk 1,316,232               0.22%4 Average Risk 508,719,905          84.52%5 Special Mention ‐ Watch Risk 38,551,198             6.41%6 Substandard ‐ Well Secured 30,900,347             5.13%7 Substandard ‐ Marginally Secured 10,329,157             1.72%8 Substandard ‐ Unsecured 5,195,282               0.86%9 Substandard ‐ Special Reserve 2,031,097               0.34%10 Doubtful 336,663                  0.06%11 Loss ‐                           0.00%

601,861,334          100.00%601,861,334         

Historical Risk Rating to Current Risk Rating

Totals

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Simple Migration Analysis

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Risk Rating at 12/31/2011 1 2 3 4 5 6

7 or Worse

Paid Off or Renewed

Charged Off Foreclosures Total

1 21.38% 19.79% 0.00% 3.29% 0.00% 0.00% 0.00% 55.55% 0.00% 0.00% 100.00%2 0.00% 23.26% 0.00% 2.98% 0.00% 0.00% 0.00% 73.76% 0.00% 0.00% 100.00%3 0.00% 0.00% 26.59% 54.82% 0.00% 0.00% 0.00% 18.59% 0.00% 0.00% 100.00%4 0.00% 0.00% 0.00% 45.71% 0.56% 0.24% 0.00% 52.66% 0.57% 0.27% 100.00%5 0.00% 0.00% 0.00% 18.98% 9.29% 1.64% 0.00% 52.43% 14.04% 3.62% 100.00%6 0.00% 0.00% 0.00% 2.23% 4.44% 23.31% 0.00% 60.53% 6.36% 3.12% 100.00%7 0.00% 0.00% 0.00% 0.00% 10.45% 37.13% 0.00% 27.99% 10.59% 13.84% 100.00%8 0.00% 0.00% 0.00% 0.00% 13.47% 0.00% 0.00% 44.71% 44.60% ‐2.78% 100.00%9 0.00% 0.00% 0.00% 0.00% 4.22% 63.37% 0.00% 18.14% 12.27% 1.99% 100.00%10 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 98.32% 1.68% 100.00%11 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 100.00% 0.00% 100.00%

Risk Ratings and Loan Balances at Migration End Date

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Simple Migration Analysis Example

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Current Risk Ratings Rating Description

Current Loan Balances Loss % Q Factors

Total Expected Loss

1 No Risk 1,750,216           0.00% 0.00% ‐                     2 Minimal Risk 5,824,148           0.00% 0.00% ‐                     3 Better Than Average Risk 604,980              0.00% 0.00% ‐                     4 Average Risk 792,780,665      0.57% 0.00% 4,493,035          5 Special Mention ‐ Watch R 16,631,646        14.04% 0.00% 2,335,260          6 Substandard ‐ Well Secured 19,516,335        6.36% 0.00% 1,242,132          7 Substandard ‐ Marginally S ‐                      10.59% 0.00% ‐                     8 Substandard ‐ Unsecured ‐                      44.60% 0.00% ‐                     9 Substandard ‐ Special Rese ‐                      12.27% 0.00% ‐                     10 Doubtful ‐                      98.32% 0.00% ‐                     11 Loss 548,876              100.00% 0.00% 548,876             

Totals 837,656,867      2.37% 8,619,302          

ALLL as % of Total Loans 1.03%

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Static Pool Analysis Average Loss Rates for HELOC and 2nd REM

Loan Type

12.31.09 Loan 

Lifetime Loss Rate

12.31.10 Loan 

Lifetime Loss Rate

12.31.11 Loan 

Lifetime Loss Rate

12.31.12 Loan 

Lifetime Loss Rate

Average Lifetime Loss Rate

Current Balance

Expected Lifetime Losses

1‐4 Family Junior Lien Closed 1 PASS 0.00% 0.00% 0.49% 0.00% 0.12% 8,369,403    10,166      1‐4 Family Junior Lien Closed 2 WATCH 0.00% 0.00% 0.00% 0.00% 0.00% 26,195         ‐                 1‐4 Family Junior Lien Closed 4 SUBSTANDARD 6.87% 36.08% 3.36% 38.22% 21.13% 86,658         18,313      1‐4 Family Revolving 1 PASS 0.00% 0.00% 0.00% 0.00% 0.00% 22,017,152  ‐                 1‐4 Family Revolving 4 SUBSTANDARD 0.00% 0.00% 0.00% 77.72% 19.43% 158,760       30,845      

Totals 30,658,167  59,325      ALLL Percentage 0.19%

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Static Pool Analysis Average Loss Rates for C&I and CRE

Loan Type

12.31.09 Loan 

Lifetime Loss Rate

12.31.10 Loan 

Lifetime Loss Rate

12.31.11 Loan 

Lifetime Loss Rate

12.31.12 Loan 

Lifetime Loss Rate

Average Lifetime Loss Rate

Current Balance

Expected Lifetime Losses

Commercial & Industrial 1 PASS 0.32% 0.06% 2.31% 0.14% 0.71% 144,638,430  1,021,963   Commercial & Industrial 2 WATCH 7.20% 5.01% 4.75% 0.67% 4.41% 8,222,738      362,567      Commercial & Industrial 3 SPECIAL MENTION 38.17% 0.00% 0.00% 0.00% 9.54% 5,605              535              Commercial & Industrial 4 SUBSTANDARD 15.78% 36.24% 100.00% 63.23% 53.81% 12,567,544    6,762,613   Commercial & Industrial 5 DOUBTFUL 90.85% 0.00% 0.00% 0.00% 22.71% ‐                  ‐                   Commercial & Industrial 6 LOSS 0.00% 0.00% 0.00% 0.00% 0.00% ‐                  ‐                   Commercial Real Estate 1 PASS 1.15% 0.28% 1.33% 1.64% 1.10% 245,021,089  2,698,152   Commercial Real Estate 2 WATCH 6.77% 0.00% 0.00% 0.00% 1.69% 10,674,754    180,739      Commercial Real Estate 3 SPECIAL MENTION 1.49% 12.33% 14.80% 0.00% 7.15% 524,392         37,515        Commercial Real Estate 4 SUBSTANDARD 17.94% 8.19% 8.62% 9.78% 11.13% 27,099,768    3,017,394   Commercial Real Estate 5 DOUBTFUL 4.11% 0.00% 34.87% 100.00% 34.75% ‐                ‐                 

Totals 448,754,319  14,081,477 ALLL Percentage 3.14%

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Static Pool Analysis Weighted Average Losses for HELOC and 2nd REM

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(1) (2) (3) = (1)/(2) (4) (5) = (3)x(4)

Loan TypeTotal Charge 

OffsTotal Loans In 

Pools

Three Year Weighted 

Average Loss Rate

Current Principal Balance

ALLL Without Q Factors

1‐4 Family Junior Lien Closed 1 PASS 82,327             44,644,192      0.18% 8,369,403         15,434              1‐4 Family Junior Lien Closed 2 WATCH ‐                        275,269            0.00% 26,195               ‐                        1‐4 Family Junior Lien Closed 4 SUBSTANDARD 95,956             429,460            22.34% 86,658               19,362              1‐4 Family Revolving 1 PASS ‐                        139,152,113    0.00% 22,017,152       ‐                        1‐4 Family Revolving 2 WATCH ‐                        584,039            0.00% ‐                         ‐                        1‐4 Family Revolving 3 SPECIAL MENTION ‐                        188,756            0.00% ‐                         ‐                        1‐4 Family Revolving 4 SUBSTANDARD 24,281             130,962            18.54% 158,760            29,435              

Totals 30,658,167       64,231              ALLL Percentage 0.21%

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Static Pool Analysis  Weighted Average Losses for C&I and CRE

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(1) (2) (3) = (1)/(2) (4) (5) = (3)x(4)

Loan TypeTotal Charge 

OffsTotal Loans In 

Pools

Three Year Weighted 

Average Loss Rate

Current Principal Balance

ALLL Without Q Factors

Commercial & Industrial 1 PASS 3,882,523        430,450,122    0.90% 144,638,430     1,304,592        Commercial & Industrial 2 WATCH 626,243           13,209,898      4.74% 8,222,738         389,816           Commercial & Industrial 3 SPECIAL MENTION 4,773,482        18,144,388      26.31% 5,605                 1,475                Commercial & Industrial 4 SUBSTANDARD 20,196,893     38,383,595      52.62% 12,567,544       6,612,860        Commercial & Industrial 5 DOUBTFUL 97,301             107,104            90.85% ‐                         ‐                        Commercial Real Estate 1 PASS 10,825,492     974,768,034    1.11% 245,021,089     2,721,133        Commercial Real Estate 2 WATCH 1,354,714        72,567,994      1.87% 10,674,754       199,278           Commercial Real Estate 3 SPECIAL MENTION 3,175,845        61,663,252      5.15% 524,392            27,008              Commercial Real Estate 4 SUBSTANDARD 18,635,333     170,882,681    10.91% 27,099,768       2,955,321        Commercial Real Estate 5 DOUBTFUL 648,772           2,951,419        21.98% ‐                         ‐                        

Totals 448,754,319     14,211,484      ALLL Percentage 3.17%

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Other Methods

• Vintage Analysis – Works well for large groups of homogenous loans– Predictable losses– Auto loans

• Present Value of Cash Flows– Great in theory– Hard to implement for community banks

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A Look at Other Methods PD/LGD• Probability of Default and Loss Given Default

– PD times LGD time Exposure at Default– Define what constitutes a default– Predict likelihood of default– Predict loss given default– Predict the loan balance at default

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Impaired Loans

• Various models do not treat impaired loans differently than performing loans.

• This is permitted under CECL• However, we do not believe that the regulatory agencies will accept this.

• Initial reaction is that regulators still want impaired loans evaluated separately using PV of cash flows or FV of collateral, less cost to sell.

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Q Factors

• Do analysis for a number of years• Choose the time period(s) that best represent today’s environment

• Adjust for reasonable and supportable forecasts• Other Q Factors remain the same

– Thought process is a little different– Compared to the historical lifetime loss rates that the bank has chosen most representative of today’s environment, does the bank expect that losses will be higher or lower

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Parting Thoughts

• The flexibility of the standard allows this to be a management process.

• Start thinking about models and which one will best fit your bank.

• Once you have an idea of what models you will use, start thinking about the data you will need, it may not be as bad as you think.

• Make sure you include accounting, operations, lending, and IT personnel in your discussions. Each provide valuable perspective in your model decision.

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Our interactions with you will bedesigned to support your goals anddreams and help impact your success.

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David Heneke, [email protected]‐203‐5621

Liz Rider, [email protected]‐346‐3663

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