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WEBINAR: COVID-19 IMPACT ON CONSUMER CREDITApril 29th, 2020
Please note that this session was held at a particular point in time (Wednesday April 29,2020, 4pm-5pm EDT), and in light of the rapidly evolving COVID-19 situation, it is possible these discussions are no longer accurate after that date.
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OUR HOSTS
OUR PANELISTS
Deepak KollaliPartner, Co-Head of Risk & Public Policy
Adam SchneiderPartner, Retail & Business Banking and Digital
Mike DuanePartner, Risk & Public Policy
Manish GuptaFounder and CEO of Corridor Platforms
Ash GuptaOliver Wyman Senior Advisor,Formerly Chief Risk Officer for American Express
Brian GunnOliver Wyman Senior Advisor,Formerly Chief Risk Officer for Santander US and Ally Financial
Kevin MossOliver Wyman Senior Advisor,Formerly Chief Risk Officer for Wells Fargo Consumer Lending and SoFi
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WEBINAR AGENDA
01 Opening Remarks
02 Consumer Credit Results and Outlook
03 Roundtable Discussion with Oliver Wyman Senior Advisors
04 Additional Q&A and Closing Remarks
OPENING REMARKS
01Asking questions during the Q&A2
Logistics1
3 Post Webinar Distribution
Deepak KollaliPartner, Co-Head of Risk& Public Policy
CONSUMER CREDIT RESULTS AND OUTLOOK
02Effects on Consumer Lending2
Economic Outlook1
Mike DuanePartner, Risk & Public Policy
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ECONOMIC INDICATORS HAVE TURNED SHARPLY NEGATIVE AS A RESULT OF THE COVID-19 CRISIS, WITH SIGNIFICANT UNCERTAINTY AND UNPRECEDENTED REACTIONS
Scale and sharpness of the pandemic1 Uncertainty in speed/strength of recovery2
Unprecedented government support3 Not yet reflected in credit outcomes4
1. Source: FRED; Conference Board. 2. Source: Bank of America (Apr 2), UBS (Apr 2), Goldman Sachs (Mar 31), Morgan Stanley (Apr 3). TD Securities (Mar 25), Deutsche (Apr 13), JP Morgan (Apr 17). 3. Source: CARES Act; Fannie Mae and Freddie Mac; Mortgage Bankers Association. 4. Source: SNL; Capital IQ; Banks’ earnings reports; Oliver Wyman analysis. 5. Top 10 largest US Banks. Excludes Goldman Sachs and Morgan Stanley due to limited disclosure
26.5M unemployment claims in the last 5 weeks
10% decline in Consumer Confidence Index since March
28x increase in mortgage forbearance since early March
150%+ increase in avg. unemployment insurance payment
0.42% 0.45%
Q1 2020Q4 2019
Net Charge-off rate (Net Charge-offs / Average Loans) - NCOsAnnualized % of average loans for reporting banks5
1
3
2
4
Median Q2 Unemployment Rate forecasts moved from
12.5% to 15.7% between end of March and mid-April
Potential for high variation in timing and intensity as states reopen
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LOSS PROVISIONS INCREASED BY MORE THAN 4X FROM Q4 2019 TO Q1 2020, AND ADDITIONAL ACTIONS LIKELY AS WE LEARN MORE ABOUT THE CRISIS
Provisions for credit losses (excluding day 1 CECLimpact)In $BN for reporting banks1
Allowance coverage ratio vs. 9Q DFAST credit loan losses in Severely Adverse scenario
5.7 5.5 5.4 6.0 6.4
20.7
6.1
Q3 2019Q2 2019
0.4
Q1 2019-0.3
0.4 0.1
Q4 2019 Q1 2020
6.15.3 5.8
27.1
Reserve build Net Charge-offs
41%25%
36%
41%
JPM
15%
27%26%
BAC
32%
18%
Citi
4%
37%
WFC
8%
12%
51%
33%
61%
USB PNC
45%
35%
Q1 20 Allowance Coverage Rate (incremental)Q4 19 Allowance Coverage RateSource: SNL, Capital IQ, Banks’ earnings reports, Oliver Wyman analysis
1. Top 10 largest US Banks. Excludes Morgan Stanley due to limited disclosure: Credit provision is embedded in non-interest expense
Provisions for the 10 largest US banks increased more than 4x in Q1 2020…
… with reserves already accounting for 35-60% of 9Q DFAST stress credit losses
Q1 20 Allowance Coverage Rate (total)
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U.S. Unemployment Forecasts compared to the 2008-09 Financial CrisisQ1 2020 – Q4 2021
Financial Crisis quarter2020 COVID Crisis projection
1. Source: U.S. Bureau of Labor Statistics2. Source: “Unemployment Rate” – Federal Reserve Bank of St Louis3. Consensus as the average of Goldman Sachs (Mar 31), JP Morgan (Apr 17), Morgan Stanley (Apr 3), Deutsche (Apr 13), UBS (Apr 15), TD (Mar 25), Bank of America (Apr 2) forecasts; consensus for 2020 Q4 –
2021 Q4 a combination of JPM, Goldman, TD, and some Deutsche
UNEMPLOYMENT IS FORECAST TO SPIKE QUICKLY AND DRAMATICALLY, RETURNING TO PRE-COVID LEVELS BY LATE-2021
Last updated: 4/28/2020
3%
15%
10%
8%
14%
4%
9%
5%
7%
16%
6%
11%12%13%
17%18%19%20%
(2008 Q3)(3Q 20)
(2008 Q1)(1Q 20)
Une
mpl
oym
ent r
ate
(2008 Q2)(2Q 20)
(2008 Q4) (4Q 20)
(2009 Q1) (1Q 21)
(2009 Q2) (2Q 21)
(2009 Q3) (3Q 21)
2020 Covid Crisis consensus3
(2009 Q4) (4Q 21)
Financial Crisis2
= Range of COVID Crisis forecast estimates
Peak unemployment during financial crisis1
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Key points
• Uncertainty: Government and individual choices that will drive the course of the pandemic and economic recovery are still very much up-in-the-air, and may vary across the US
• Tactical response: Banks are preparing for the first wave of the pandemic now, but need to be agile as the crisis evolves (e.g., be ready for extended lockdown, slow recovery, etc.)
• Future response: Banks must be both reactive and proactive in crisis response; risk mitigation actions taken now, can have significant impact on bank’s futures for years to come
Projected days until active cases show a consistent (14-day) downward trajectory – as of 4/17/2020
Modelling the next 12-18 monthsWhat-ifs needed to simulate possible sources of uncertainty
NO LOCKDOWN REQUIRED IN SUMMER MONTHS
CURRENT LOCKDOWN ENDS IN EARLY 06/20
TWO SHORT LOCKDOWNS DURING NEXT WINTER Key variables
COVIDseasonality
Herd immunity or mutation
Healthcarecapacity
Lockdowneffectiveness
THE ECONOMIC OUTLOOK WILL BE CLOSELY LINKED TO THE PANDEMIC’S EVOLUTIONSample projections and scenarios from OW Pandemic Navigator
ROUNDTABLEModerated by
03Adam SchneiderPartner, Retail & Business Banking and Digital
OUR PANELISTS
Manish GuptaFounder and CEO of Corridor Platforms
Ash GuptaOliver Wyman Senior Advisor,Formerly Chief Risk Officer for American Express
Brian GunnOliver Wyman Senior Advisor,Formerly Chief Risk Officer for Santander US and Ally Financial
Kevin MossOliver Wyman Senior Advisor,Formerly Chief Risk Officer for Wells Fargo Consumer Lending and SoFi
Deepak KollaliPartner, Co-Head of Risk& Public Policy
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Operational delivery
Acquisitions & underwriting Customer management Workout
Central purpose and principles
Customer offering and credit strategy design
Setup COVID control tower to dynamically respond to ever-changing epidemiological, economic, and policy environment
Define crisis response objectives, considering the bank’s financial capacity and risk appetite, and external requirements
Define key customer segments and archetypes based on key crisis drivers and expected impact on customer well-being
Determine treatment waterfall and ‘offramps’ to provide solutions to customers at different level of distress
12
34
Design customer journey for each segment with initial outreach, information gathering, and follow up5
Approval Pricing
Line assignment Cross-sell
Modifications Line management
Retention
Collections Collateral management
Application fraud
Optimize process and controls, including processes and procedures key compensating measures
Build execution capacity to deliver effective customer assistance across both internal and third party resources
Design and implement reporting, monitoring, and data collection to support control tower and decision making
Modify underlying systems, technologies, and tools to support updated processes
78910
SESSION WRAP-UP: HOW DOES A BANK ORGANIZE AN EFFECTIVE COVID RESPONSE?
Re-examine BAU credit risk management to identify models/processes/strategies requiring adaptation to the new environment6
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THANK YOU; POST-WEBINAR LOGISTICS; Q&A
Contact us Next webinar
• Next webinar on COVID and FS Impacts on May 6 at 4pm.
Deepak [email protected]
Adam [email protected]
Mike [email protected]
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READ OUR LATEST INSIGHTS ABOUT COVID-19 AND ITS GLOBAL IMPACT ONLINE
Oliver Wyman and our parent company Marsh & McLennan (MMC) have been monitoring the latest events and are putting forth our perspectives to support our clients and the industries they serve around the world. Our dedicated COVID-19 digital destination will be updated daily as the situation evolves
Visit our dedicated COVID-19 website:https://www.oliverwyman.com/coronavirus
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Information furnished by others, upon which all or portions of this report are based, is believed to be reliable but has not been independently verified, unless otherwise expressly indicated. Public information and industry and statistical data are from sources we deem to be reliable; however, we make no representation as to the accuracy or completeness of such information. The findings contained in this report may contain predictions based on current data and historical trends. Any such predictions are subject to inherent risks and uncertainties. Oliver Wyman accepts no responsibility for actual results or future events.
The opinions expressed in this report are valid only for the purpose stated herein and as of the date of this report. No obligation is assumed to revise this report to reflect changes, events or conditions, which occur subsequent to the date hereof.
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