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PHLX SOX · Return Distribution

PHLX SOX — Thirty-Year Semiconductor Annual Return Distribution

Semiconductor Return Distribution — Thirty-year return histogram demonstrating greater return dispersion and volatility than any other major sector.

The plate

Price return (dividends not included)Up yearDown year2026 so farMean
Most common bucket: +50% or more, 6 of 31 complete years · 64.5% of complete years finished up
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
Price return (dividends not included)Up yearDown year2026 so farMean
Most common bucket: +50% or more, 6 of 31 complete years · 64.5% of complete years finished up
’95
’96
’97
’98
’99
’00
’01
’02
’03
’04
’05
’06
’07
’08
’09
’10
’11
’12
’13
’14
’15
’16
’17
’18
’19
’20
’21
’22
’23
’24
’25
’26
Plate III.3 Binned into eleven return intervals. Annual gains exceeding +50% and declines worse than -40% occur repeatedly, displaying pronounced fat tails on both sides. Data through 2026-11-12

Latest Snapshot

Average
+19.2%
Positive years
20
Negative years
11
Best year
1999 +101.0%
Worst year
2008 -48.0%
Observations
32
Sample
1995 – 2026

Binned into eleven return intervals. Annual gains exceeding +50% and declines worse than -40% occur repeatedly, displaying pronounced fat tails on both sides.

What this page answers

This static page is built to answer searches for PHLX SOX · Return Distribution. It summarizes the live dataset behind the Thirty-Year Semiconductor Annual Return Distribution panel and links to the full interactive chart.

Binned into eleven return intervals. Annual gains exceeding +50% and declines worse than -40% occur repeatedly, displaying pronounced fat tails on both sides. The data is refreshed by the History of Market pipeline and published as a stable JSON endpoint for research, citation, and AI-agent use.

View the interactive chart Download raw JSON

Data & Source

GET /api/semi/annual-tr.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 each weekend. 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.