Bank of America Corporation (BAC)
Quantitative Summary
DeterministicAt 12.8x earnings — a 33% discount to the sector average of 19.2x — BAC is in the lower valuation range. Financial health is average: Piotroski 5/9, Altman Z 0.2.
Generated deterministically from quant metrics and financial statements. Not a recommendation.
Valuation Context
Currently trading 30% above its 5-year average P/E of 10.6x.
Price Chart with Moving Averages
Technical Setup
AI GeneratedBank of America Corporation is currently trading at $49.77, a price point that requires contextualization against its established moving average envelope to assess relative value. While the specific boundaries of this statistical range are not provided in the immediate data set, the proximity of the current share price to these dynamic support and resistance levels serves as a critical indicator for potential mean-reversion dynamics. If the $49.77 level sits near the lower boundary of the envelope, it suggests the asset may be approaching a zone where historical tendencies favor a bounce toward the central trend line. Conversely, positioning at or above the upper limit would imply an extended state relative to recent volatility norms, potentially signaling a contraction back toward the mean if momentum wanes. The absence of explicit deviation metrics prevents a definitive calculation of overbought or oversold conditions based solely on this snapshot; however, the mere fact that the price is quantifiable at $49.77 allows for an immediate comparison against the 20-day and 50-day moving averages that typically define such envelopes in financial services equities. Market participants observing this setup might note whether recent price action has tested these statistical thresholds repeatedly or if a breakout from the range is imminent. The current valuation relative to its own historical trajectory within the last few weeks will likely dictate whether future trading sessions exhibit corrective behavior toward equilibrium or continue an existing directional bias, pending confirmation from broader sector trends and volume analysis not present in this isolated data point.
Quant Health Deep Dive
Profitability & Value Creation
DuPont Analysis — ROE Decomposition
Breaking down Return on Equity to see how the company generates its ROE — efficiency, margins, or leverage.
Balance Sheet Health
Insider Activity (Last 90 Days)
Open-market buys vs sells by company insiders. Source: yfinance.
Earnings Surprise History
EPS estimates vs actuals for the most recent reported quarters. Source: yfinance.
Dividend History
| Date | Amount | Change |
|---|---|---|
| 2026-03-06 | $0.2800 | 0.0% |
| 2025-12-05 | $0.2800 | 0.0% |
| 2025-09-05 | $0.2800 | +7.7% |
| 2025-06-06 | $0.2600 | 0.0% |
| 2025-03-07 | $0.2600 | 0.0% |
| 2024-12-06 | $0.2600 | 0.0% |
| 2024-09-06 | $0.2600 | +8.3% |
| 2024-06-07 | $0.2400 | 0.0% |
| 2024-02-29 | $0.2400 | 0.0% |
| 2023-11-30 | $0.2400 | 0.0% |
| 2023-08-31 | $0.2400 | +9.1% |
| 2023-06-01 | $0.2200 | 0.0% |
Dividend and split data from SEC filings and market data. Amounts are per share, not adjusted for splits. Source: yfinance.
Risk Profile
Sharpe = risk-adjusted return (higher is better). Max drawdown = largest peak-to-trough decline. 1,200+ trading days.
Underwater (Drawdown from Peak)
How far below the all-time high the price has been over time. Deeper = more pain for holders.
Rolling 60-Day Beta vs S&P 500 (VOO)
How the stock's sensitivity to market moves changes over time. β > 1 = more volatile than the market.
Fama-French 5-Factor Exposure
Academic factor model decomposition — what's really driving this stock's returns.
Fama-French 5-Factor Model. Data: Kenneth French Data Library. Regression over 3 years of daily returns.
Fundamentals
Passive Flow Attribution
ETF Draft EffectWhen investors buy or sell ETFs like IYF or XLF, the fund manager is mechanically forced to buy or sell BAC shares regardless of Bank of America Corporation's individual fundamentals. We estimate $40.8B of passive capital is structurally linked to BAC through 8 tracked ETFs. This substantial passive exposure means that ETF inflows and outflows — not company fundamentals — can dominate daily volume on this stock.
Passive exposure = Σ (ETF AUM × stock weight in ETF) across 8 tracked ETFs. Actual passive ownership is larger (includes mutual funds). Not investment advice.
ETF Contagion Visualizer
Simulate a price drop in Bank of America Corporation to visualize passive redemption contagion across ETFs and collateral stocks.
If Bank of America Corporation (BAC) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies JPMorgan Chase & Co. (JPM) as the most exposed collateral stock, sharing 2 ETFs with BAC. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.
Contagion model based on shared ETF exposure and constituent weights across 36 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.
BAC Ownership Dynamics
Passive funds hold 1 in every 9 BAC shares, reducing daily market volatility.
Bank of America Corporation (BAC) exerts measurable gravity on the passive index market, currently representing 4.7% of the IYF (IYF) and 4.6% of the State Street Financial Select Sector SPDR ETF (XLF). Across 33 tracked ETFs, approximately 796M shares (11.2% of float) are held by passive funds and rarely trade on the open market. This level of passive ownership means index rebalances can create outsized volume events.
ETFs with Highest BAC Exposure
Float lock-up computed from 33 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
BAC Institutional Volume Profile
252-day volume distribution by price level. The Point of Control (POC) marks — the price where the most institutional volume transacted — an implicit support/resistance floor.
The highest-volume price zone for Bank of America Corporation over the past year sits near $51.67 (11% of 252-day volume). The current price of $52.48 trades 1.6% above this institutional floor — a sign of upside momentum, though a pullback to the POC zone is a common reversion target.
Volume Profile computed from 252 trading days of OHLCV data. Volume allocated to price bins proportionally based on daily high-low range. Not investment advice.
Fails-to-Deliver (FTD) History
SEC-reported settlement failures. Elevated FTDs can indicate high short-selling pressure, operational settlement issues, or naked shorting activity.
| Date | Failed Shares | Close Price | Notional Value |
|---|---|---|---|
| 2026-05-13 | 15,015 | $50.78 | $762,461.7 |
| 2026-05-08 | 1,389 | $52.75 | $73,269.75 |
| 2026-05-07 | 799 | $53.60 | $42,826.4 |
| 2026-05-06 | 73,500 | $53.12 | $3.9M |
| 2026-05-05 | 73,850 | $52.19 | $3.9M |
| 2026-05-04 | 5,200 | $53.24 | $276,848 |
| 2026-05-01 | 21,450 | $53.46 | $1.1M |
| 2026-04-29 | 732 | $52.66 | $38,547.12 |
| 2026-04-24 | 2,660 | $52.47 | $139,570.2 |
| 2026-04-20 | 56,071 | $53.91 | $3.0M |
| 2026-04-15 | 56 | $53.35 | $2,987.6 |
| 2026-04-13 | 766,815 | $52.54 | $40.3M |
| 2026-04-09 | 20,843 | $51.88 | $1.1M |
| 2026-04-07 | 200 | $50.06 | $10,012 |
| 2026-04-06 | 108,090 | $49.38 | $5.3M |
| 2026-03-30 | 634 | $46.97 | $29,778.98 |
| 2026-03-27 | 9,988 | $48.24 | $481,821.12 |
| 2026-03-26 | 270,682 | $48.75 | $13.2M |
| 2026-03-25 | 214,663 | $48.14 | $10.3M |
| 2026-03-24 | 3,855 | $47.52 | $183,189.6 |
| 2026-03-11 | 31 | $48.56 | $1,505.36 |
| 2026-03-09 | 24,913 | $48.64 | $1.2M |
| 2026-02-23 | 1,700 | $53.06 | $90,202 |
| 2026-02-13 | 59,634 | $52.52 | $3.1M |
| 2026-02-10 | 40,661 | $56.41 | $2.3M |
| 2026-02-09 | 20,600 | $56.53 | $1.2M |
| 2026-02-04 | 2,228 | $54.45 | $121,314.6 |
| 2026-02-02 | 21,818 | $53.20 | $1.2M |
| 2026-01-21 | 94,827 | $52.10 | $4.9M |
| 2026-01-20 | 2,006 | $52.97 | $106,257.82 |
Source: SEC Regulation SHO FTD data. Data is reported with a ~30 day delay. High FTD quantities relative to average daily volume may indicate settlement stress.
SEC Comment Letters
SEC correspondence with the company regarding their filings. Comment letters often flag disclosure deficiencies, accounting concerns, or material omissions.
Source: SEC EDGAR correspondence. Comment letters are public records of SEC staff review of company filings.
Price Correlations
Statistical correlation of daily returns with other stocks. High correlations indicate stocks that move together; negative correlations can offer diversification.
| Peer | 252-Day (1Y) | 126-Day (6M) | Direction |
|---|---|---|---|
| WTGXX | NaN | NaN | |
| WFC | 0.838 | 0.856 | High co-movement |
| C | 0.795 | 0.811 | High co-movement |
| MS | 0.767 | 0.740 | High co-movement |
| USB | 0.758 | 0.727 | High co-movement |
| CFG | 0.743 | 0.697 | High co-movement |
| JPM | 0.741 | 0.744 | High co-movement |
| TFC | 0.739 | 0.713 | High co-movement |
| KEY | 0.723 | 0.681 | High co-movement |
| HBAN | 0.713 | 0.651 | High co-movement |
Pearson correlation of daily log returns. 252d ≈ 1 trading year. Computed from price history. Not investment advice.
Compare BAC to Peers
Quant metrics computed deterministically from financial statements and price data. Updated: 2026-06-02.
SecuritiesDB provides programmatic data aggregation for informational purposes only. None of the metrics, summaries, or algorithmic flags constitute a recommendation to buy or sell any security.