John Hancock Financial Opportunities Fund (BTO)
Quantitative Summary
DeterministicAt 9.6x earnings — a 50% discount to the sector average of 19.2x — BTO is in the lower valuation range. Below-average fundamentals indicated by Piotroski score of 3/9.
Generated deterministically from quant metrics and financial statements. Not a recommendation.
Valuation Context
Price Chart with Moving Averages
Quant Health Deep Dive
Profitability & Value Creation
Balance Sheet Health
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.
Fundamentals
Passive Flow Attribution
ETF Draft EffectWhen investors buy or sell ETFs like VSS or SPDW, the fund manager is mechanically forced to buy or sell BTO shares regardless of John Hancock Financial Opportunities Fund's individual fundamentals. We estimate $26M of passive capital is structurally linked to BTO through 2 tracked ETFs. Passive flows have a limited but growing influence on BTO's daily trading dynamics.
Passive exposure = Σ (ETF AUM × stock weight in ETF) across 2 tracked ETFs. Actual passive ownership is larger (includes mutual funds). Not investment advice.
ETF Contagion Visualizer
Simulate a price drop in John Hancock Financial Opportunities Fund to visualize passive redemption contagion across ETFs and collateral stocks.
If John Hancock Financial Opportunities Fund (BTO) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies SAMSUNG ELECTR GDR REG S (SMSN) as the most exposed collateral stock, sharing 1 ETFs with BTO. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.
Contagion model based on shared ETF exposure and constituent weights across 2 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.
BTO Ownership Dynamics
ETFs with Highest BTO Exposure
Float lock-up computed from 2 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
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 |
|---|---|---|---|
| 2026-05-01 | 125 | $37.09 | $4,636.25 |
| 2026-04-02 | 16 | $35.57 | $569.12 |
| 2026-03-23 | 81 | $33.42 | $2,707.02 |
| 2026-03-10 | 401 | $34.61 | $13,878.61 |
| 2026-01-29 | 47 | $36.86 | $1,732.42 |
| 2026-01-27 | 71 | $36.91 | $2,620.61 |
| 2026-01-20 | 575 | $36.18 | $20,803.5 |
| 2026-01-13 | 425 | $36.00 | $15,300 |
| 2025-12-18 | 22 | $36.09 | $793.98 |
| 2025-12-17 | 225 | $35.98 | $8,095.5 |
| 2025-11-13 | 288 | $33.75 | $9,720 |
| 2025-11-03 | 117 | $33.77 | $3,951.09 |
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.
Compare BTO to Peers
Quant metrics computed deterministically from financial statements and price data. Updated: N/A.
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.