NY Fed: Americans’ credit applications rise to highest level since October 2022

New York Fed data: applications for new credit hit their highest level since October 2022 while the rejection rate fell to 15.9%, the lowest since June 2021, even as lenders closed accounts at a record high. Respondents' ability to come up with $2,000 for an unexpected expense edged down to 63.3%. The report arrives as the Fed meets (expected to hold rates) and geopolitics (U.S.-Iran conflict) is driving oil prices higher, a dynamic likely to boost inflation and slow growth, complicating the policy outlook.

Analysis

The combination of easier access at the margin and a simultaneous spike in account closures implies a redistribution of revolving liquidity: credit supply is becoming more conditional and concentrated. Expect a two-tier consumer outcome over the next 3–9 months — marginally wealthier or higher-FICO borrowers increase utilization and support near-term retail receipts, while lower-credit cohorts face material access shocks that amplify downside risk to unsecured loss rates.

Overlaying this with energy-driven inflation pressure creates a classic stagflation squeeze on disposable income. Mechanically, higher pump prices act like a regressive tax that reduces discretionary ad spend and small-ticket consumption first, while compressing real incomes and pushing unsecured delinquencies higher with a lag of 2–4 quarters; fixed-rate enterprise AI budgets are likeliest to be preserved relative to performance-marketing spend.

Security selection should thus bifurcate between durable enterprise capex beneficiaries and consumer-exposed, ad-financed businesses. SMCI sits in the resilient bucket as a levered play on prioritized AI compute projects; ad-dependent mobile monetizers (e.g., APP) face an elevated conditional downside if oil persists and card-squeeze dynamics amplify reduced consumer frequency. Financials will see mixed effects — transient NIM support from tighter revolving availability but rising credit loss risk concentrated in lower-credit segments.

Key Decisions for Investors

• Long SMCI via a 6–12 month call-spread (buy ATM, sell 10–15% OTM) sized as 1–2% portfolio notional: thesis is resilient enterprise AI spend. Risk: macro pullback that delays capex; target 2.5x gross return if AI budgets remain intact, stop-loss 20% on premium.
• Pair trade — long SMCI / short APP equal notional for 3–6 months: captures divergence between enterprise compute durability and ad-revenue cyclicality. Take profits if APP outperforms by 25% or if oil falls >15% from current levels.
• Buy 3–9 month inflation protection: long short-dated TIPS (TIP) or a Brent 3-month call to hedge upside energy-driven inflation. Costly insurance but limits portfolio drawdown if oil-driven CPI surprises above consensus; trim upon 50% move in breakevens.
• Hedge consumer-credit tail: buy 6–12 month put spreads on consumer finance names (e.g., COF/AXP) or add protection to consumer credit ABS exposures sized to expected unsecured loss deterioration. Use these as insurance — unwind if delinquency indices do not rise within two quarters.