XLF · Intrayear DD vs Full Year — Financials' intrayear depth
Intrayear drawdown — XLF's deepest dip within each year.
Average intrayear drawdown is close to the S&P's, but 2008, 2009, 2020 and 2023 all concentrated their volatility in this sector.
What this page answers
Across 29 years, the deepest intrayear drawdown in XLF averaged -19.9% — yet the average full-year return was still +7.7%. In 11 of those years the index fell more than 10% intrayear and still finished positive: the dip is the norm, not the anomaly.
Average intrayear drawdown is close to the S&P's, but 2008, 2009, 2020 and 2023 all concentrated their volatility in this sector. The data is refreshed by the History of Market pipeline and published as a stable JSON endpoint for research, citation, and AI-agent use.
The plate
Latest Snapshot
- Updated
- 2026-08-14
- Observations
- 29
- Average
- -19.9%
- Latest
- +7.7%
XLF — deepest intrayear drawdown vs full-year return
| Year | Deepest intrayear drawdown | Full-year return |
|---|---|---|
| 2026 | -14.8% | +7.3% |
| 2025 | -15.5% | +14.9% |
| 2024 | -7.2% | +30.6% |
| 2023 | -16.3% | +12.0% |
| 2022 | -25.8% | -10.6% |
| 2021 | -8.4% | +34.8% |
| 2020 | -42.9% | -1.8% |
| 2019 | -9.5% | +31.9% |
| 2018 | -24.7% | -13.1% |
| 2017 | -9.0% | +22.0% |
| 2016 | -16.2% | +22.4% |
| 2015 | -12.7% | -1.7% |
| 2014 | -7.3% | +15.0% |
| 2013 | -6.9% | +35.5% |
| 2012 | -16.4% | +28.4% |
| 2011 | -33.7% | -17.1% |
| 2010 | -21.0% | +11.9% |
| 2009 | -51.2% | +17.6% |
| 2008 | -67.5% | -54.9% |
| 2007 | -24.7% | -19.2% |
| 2006 | -7.8% | +18.9% |
| 2005 | -9.1% | +6.2% |
| 2004 | -10.2% | +10.9% |
| 2003 | -17.4% | +30.5% |
| 2002 | -32.0% | -14.7% |
| 2001 | -26.7% | -9.5% |
| 2000 | -17.2% | +25.9% |
| 1999 | -22.9% | +2.7% |
| 1998 | -1.6% | +0.5% |
Showing the full record (29 rows). Raw series: https://historyofmarket.com/api/fin/intrayear-dd.json
Data & Source
GET /api/fin/intrayear-dd.json — Canonical dataset endpoint.
Exchange closing prices · Company filings · Robert Shiller · FRED · NBER.
FAQ
Where does this data come from?
History of Market combines public market and macro datasets — exchange closing prices, company filings, Robert Shiller, FRED, NBER, and the UBS Global Investment Returns Yearbook (Dimson–Marsh–Staunton). The exact endpoint for this panel is linked below.
How often is it updated?
Daily-tier datasets refresh after the U.S. market close, with a broader weekly refresh on Sunday. The timestamp shown on this page comes from the JSON payload.
Can I use the data?
Yes, for research and education with attribution to History of Market. Upstream data sources retain their own terms.