Improve Your Lending with Scores from RiskCalc Small Business Dinesh - - PowerPoint PPT Presentation

improve your lending with scores from riskcalc small
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Improve Your Lending with Scores from RiskCalc Small Business Dinesh - - PowerPoint PPT Presentation

Improve Your Lending with Scores from RiskCalc Small Business Dinesh Bacham, Associate Director Lucia Yang, Associate Director September 2018 Edward Oetinger, Director Improve Your Lending with Scores from RiskCalc Presenters Dinesh Bacham


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Improve Your Lending with Scores from RiskCalc™ Small Business

September 2018

Dinesh Bacham, Associate Director Lucia Yang, Associate Director Edward Oetinger, Director

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Improve your Lending with Scores from RiskCalc Small Business, September 2018 2

Improve Your Lending with Scores from RiskCalc

Presenters

Dinesh Bacham

Associate Director Research

Edward Oetinger

Director Product Management

Lucia Yang

Associate Director Research

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1. Introducing to RiskCalc Small Business 2. RiskCalc Small Business as a Scoring Framework 3. History of Financial Statement Data 4. Motivation to Go Beyond Financials 5. Evolution of Research Effort 6. How Predictive is RiskCalc Small Business? 7. Demonstration 8. Our New Partnership 9. Q&A

  • 10. Wrap Up & Next Steps

Agenda

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Improve your Lending with Scores from RiskCalc Small Business, September 2018 4

Moody’s Analytics RiskCalc Small Business

Moody’s Analytics Small Business model provides the most accurate score by combining, financial statement, trade line information and loan payment data for firms $5M – 10M and below.

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Improve your Lending with Scores from RiskCalc Small Business, September 2018 5

Financial, Trade Credit, and Loan Payment Data Combined Yields Material Model Accuracy Uplift, Translating into Benefits Throughout the Customer and Loan Lifecycle

Financial Statement Data Captures financial statement information to evaluate creditworthiness and financial health of the business Firmographic Data Identifies the size, industry, and geographic characteristics Trade Line and Loan Payment Information Captures the number of loans and any past due or late payment history behavior of the borrower

A Stronger Score

» Higher accuracy than financial-only or behavioral-only models » Adapted to small business data and

  • rigination processes

» Leveraging worlds largest proprietary business financials database

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A Framework to Evaluate Credit Risk of Small And Medium-Sized Firms

EDF/ MARQ Score

(Good) Peer EDF Trade Line Information (Better) Trade Line Information Financials

(Best) Trade Line Information Financials Loan Behavior Information

Enhanced score based on trade line information, financial statement data and loan payment data

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Largest repository of private company financials statements and defaults

19.5 Million Unique Private Firms 100 Million Financial statements 3.1 Million Defaults Worldwide

» Note, over 50% of Moody’s CRD contains firms with $5M in Assets

  • r less

» In addition to our Credit Research Database, research performed across trade credit vendors to identify common small business attributes.

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Improve your Lending with Scores from RiskCalc Small Business, September 2018 8

Largest repository of private company financials statements and defaults

19.5 Million Unique Private Firms 100 Million Financial statements 3.1 Million Defaults Worldwide

» In addition to our Credit Research Database, research performed across several credit bureaus (Equifax, Experian and Cortera) to identify common small business attributes. » Note, over 50% of Moody’s CRD contains firms with $5M in Assets

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 Small companies usually do not have reliable financial statements  Obtain a score or probability of default (PD) in the absence of financial statements  Use different combinations of information available to the lender  Early indication of trouble based on the trade and loan payment behavior  Improved predictive power especially for smaller firms  Higher data frequency from the behavioral information adds value in risk monitoring

Motivation to Go Beyond Financials

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Evolution of Our Research Effort

Leveraging our expertise to improve small business lending

RiskCalc Small Business Moody’s Analytics Credit Research Database (CRD) Trade Credit Data

» Explored multiple data sources (e.g. Cortera) » Analyzed impact of hundreds of trade attributes in predicting loan defaults » Evaluated both vendor specific and agnostic models

Financial Statements

(Ratios constructed from income statement and balance sheet)

Loan Payment Behavior

(past payment behavior, Credit utilization)

Loan Defaults

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Increasing Predictiveness As You Provide More Data

Trade Line Info:

Debt payment status – Current Total balance owed – $25,000 Highest balance in last 12m – $45,000 Presence of tax liens and Civil judgments – Yes Is there any tradeline past due in last year -- Unknown Years in Business – 10

Peer Financial Ratio Score – 1%

+ Financial Ratios

Return on Assets – 15% Debt coverage – 10x Sales growth – 20%

Firm A

+ Loan Behavioural Info:

How long is banking relationship – >2 yrs Loan payment status – Past due 30-60 days Utilization – 55% Late payment in last 1 year – No

Firm C ABC Cosmetics

Score 63 Implied Rating B2 PD 4.79% Score 69 Implied Rating Ba3 PD 2.35% Score 53 Implied Rating Caa/C PD 13.22%

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Demo

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Recently Announced Partnership

Moody’s Analytics & Cortera

» Cortera gathers trade credit data on small businesses by understanding their supply chain » We are bringing Cortera’s trade credit data into RiskCalc Small Business and lending solution supporting increasing efficiency.

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» RiskCalc Small Business brings our scoring expertise to small business lending and risk assessment. » While data availability can be a challenge for small businesses, minimum inputs can be provided to determine a score – without financials. » Combining various data (firmographic, trade line, financials, loan behavior) into default probability yields more predictive results. » RiskCalc Small Business allows users to leverage the website or batch capability. » MARQ Score supports common understanding across lenders and risk minded professionals.

Conclusion

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Q&A

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» Listen & Share: You will receive a link to the recording of this session by email » Join Us:

Moody’s Analytics Commercial & Ag Lending Conference (CALC) September 24th – 26th in Omaha, Nebraska Moody’s Analytics Summit October 22nd – 24th in Phoenix, Arizona

» Follow:

@MoodysAnalytics Moody’s Analytics

Thank You!

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moodysanalytics.com

Edward Oetinger edward.oetinger@moodys.com 415.874.6311 Dinesh Bacham dinesh.bacham@moodys.com 212.553.2789 Lucia Yang lucia.yang@moodys.com 212.553.3786