Reserves for credit losses represent our best estimate of the expected credit losses in our outstanding portfolio of Card Member loans and receivables as of the balance sheet date. The CECL methodology requires us to estimate lifetime expected credit losses by incorporating historical loss experience, as well as current and future economic conditions over a reasonable and supportable period (R&S Period), which is approximately three years, beyond the balance sheet date. We make various judgments combined with historical loss experience to determine a reserve rate that is applied to the outstanding loan or receivable balance to produce a reserve for expected credit losses.

We use a combination of statistically-based models that incorporate current and future economic conditions throughout the R&S Period. The process of estimating expected credit losses is based on several key models: Probability of Default (PD), Exposure at Default (EAD), and future recoveries for each month of the R&S Period. Beyond the R&S Period, we estimate expected credit losses by immediately reverting to long-term average loss rates.

•EAD models are used to estimate the balance of an account at the time of write-off. This includes balances less expected repayments based on historical payment and revolve behavior, which vary by customer. Due to the nature of revolving loan portfolios, the EAD models are complex and involve assumptions regarding the relationship between future spend and payment behaviors.

•Recovery models are used to estimate amounts that are expected to be received from Card Members after default occurs, typically as a result of collection efforts. Future recoveries are estimated taking into consideration the time of default, time elapsed since default and macroeconomic conditions.

We also estimate the likelihood and magnitude of recovery of previously written off accounts considering how long ago the account was written off and future economic conditions, even if such expected recoveries exceed expected losses. Our models are developed using historical loss experience covering the economic cycle and consider the impact of account characteristics on expected losses.

Future economic conditions that are incorporated over the R&S Period include multiple macroeconomic scenarios provided to us by an independent third party. Management reviews these economic scenarios each period and applies judgment to weight them in order to reflect the uncertainty surrounding these scenarios. These macroeconomic scenarios contain certain variables, including unemployment rates and real gross domestic product (GDP), that are significant to our models.

We also evaluate whether to include qualitative reserves to cover losses that are expected but, in our assessment, may not be adequately represented in the quantitative methods or the economic assumptions. We consider whether to adjust the quantitative reserves (higher or lower) to address possible limitations within the models or factors not included within the models, such as external conditions, emerging portfolio trends, the nature and size of the portfolio, portfolio concentrations, the volume and severity of past due accounts, or management risk actions.

Lifetime losses for most of our loans and receivables are evaluated at an appropriate level of granularity, including assessment on a pooled basis where financial assets share similar risk characteristics, such as past spend and remittance behaviors, credit bureau scores where available, delinquency status, tenure of balance outstanding, amongst others. Credit losses on accrued interest are measured and presented as part of Reserves for credit losses on the Consolidated Balance Sheets and within the Provisions for credit losses in the Consolidated Statements of Income, rather than reversing interest income. Separate models are used for accounts deemed a troubled debt restructuring, which are measured individually and incorporate a discounted cash flow model.

Loans and receivable balances are written off when we consider amounts to be uncollectible, which is generally determined by the number of days past due and is typically no later than 180 days past due for pay in full or revolving loans and 120 days past due for term loans. Loans and receivables in bankruptcy or owed by deceased individuals are generally written off upon notification.

The following table reflects the range of macroeconomic scenario key variables used, in conjunction with other inputs, to calculate reserves for credit losses:


	U.S. Unemployment Rate	U.S. GDP Growth (Contraction) (a)
	March 31, 2022	December 31, 2021	March 31, 2022	December 31, 2021
First quarter of 2022	4%	4% - 7%	0.5%	6% - (4)%
Fourth quarter of 2022	3% - 7%	4% - 9%	4% - (2)%	2% - 1%
Fourth quarter of 2023	3% - 7%	3% - 7%	4% - 2%	4% - 3%
Fourth quarter of 2024	3% - 6%	4% -6%	4% - 2%	3%

Card Member loans reserve for credit losses decreased for the three months ended March 31, 2022, primarily driven by a reduction in pandemic-driven reserves reflecting sustained recovery from the macroeconomic impact of the COVID-19 pandemic.

Card Member loans reserve for credit losses decreased for the three months ended March 31, 2021, driven by improving macroeconomic indicators including unemployment and GDP, as well as improved credit performance.

The following table presents changes in the Card Member loans reserve for credit losses for the three months ended March 31:


	Three Months Ended March 31,
(Millions)	2022		2021
Beginning Balance	$	3,305	$	5,344
Provisions (a)	(111)		(573)
Net write-offs (b)
Principal	(165)		(241)
Interest and fees	(50)		(63)
Other (c)	2		—
Ending Balance	$	2,981	$	4,467

(a)Provisions for principal, interest and fee reserve components. Provisions for credit losses includes reserve build (release) and replenishment for net write-offs.

(b)Principal write-offs are presented less recoveries of $144 million and $168 million for the three months ended March 31, 2022 and 2021, respectively. Recoveries of interest and fees were not significant. Amounts include net (write-offs) recoveries from TDRs of $(55) million and $(45) million for the three months ended March 31, 2022 and 2021, respectively.

(c)Primarily includes foreign currency translation adjustments of $2 million and $(1) million for the three months ended March 31, 2022 and 2021, respectively.

Card Member receivables reserve for credit losses decreased for the three months ended March 31, 2021, driven by improving macroeconomic indicators including unemployment and GDP, as well as improved credit performance.

The following table presents changes in the Card Member receivables reserve for credit losses for the three months ended March 31:


	Three Months Ended March 31,
(Millions)	2022		2021
Beginning Balance	$	64	$	267
Provisions (a)	80		(10)
Net write-offs (b)	(67)		(53)
Other (c)	(1)		(2)
Ending Balance	$	76	$	202

(a)Provisions for principal and fee reserve components. Provisions for credit losses includes reserve build (release) and replenishment for net write-offs.

(b)Net write-offs are presented less recoveries of $67 million and $97 million for the three months ended March 31, 2022 and 2021, respectively. Amounts include net (write-offs) recoveries from TDRs of $(12) million and $(20) million for the three months ended March 31, 2022 and 2021, respectively.