AI Stock Monitor
Home · Hot Events · Data

Mega IPOs and Splits — Sector and Risk-Sentiment Spillover

How underwriter banks, related sectors, and broader risk appetite moved through Facebook, Alibaba, Uber, Coinbase, and Apple's split

A mega IPO or split — Facebook, Alibaba, Uber, Coinbase, Apple — pulls underwriter banks, related sectors, and the broader risk appetite around it. We pulled 9 historical episodes to quantify what your portfolio is statistically positioned for.

9 historical samples
Data updated 2024-06-10
Sources SEC · central banks · Reuters · GDELT
Method historical analogs + Monte Carlo
HISTORICAL ANALOGS

Asset performance distribution after the event

Each row is one asset; the three columns are median returns at 1, 5, and 30 trading days after the event. Sample size in parentheses. Green = positive, red = negative.

Asset T+1 median T+5 median T+30 median
QQQ Nasdaq 100
+1.63%
range -1.4% / +3.4% · n=9
+0.86%
range -3.3% / +3.4% · n=9
+1.72%
range -1.3% / +10.0% · n=9
SPY S&P 500
+1.06%
range -1.1% / +2.7% · n=9
+0.74%
range -1.8% / +2.3% · n=9
+2.00%
range -0.3% / +6.3% · n=9
XLK Technology
+1.70%
range -1.3% / +4.2% · n=9
+1.27%
range -3.4% / +3.6% · n=9
+0.92%
range -1.6% / +8.5% · n=9
XLF Financials
-0.28%
range -2.3% / +3.1% · n=9
+0.40%
range -1.9% / +1.1% · n=9
+3.85%
range -1.9% / +9.1% · n=9
XLC Communication Services
+0.62%
range -0.6% / +1.6% · n=9
-0.74%
range -2.3% / +0.1% · n=9
-2.10%
range -2.9% / +3.9% · n=9
VIXY VIX Futures
-1.70%
range -6.1% / +7.9% · n=9
+0.09%
range -10.6% / +7.6% · n=9
-6.63%
range -23.8% / +11.6% · n=9
TLT 20+yr Treasuries
+0.12%
range -0.5% / +1.9% · n=9
+0.79%
range -1.6% / +2.3% · n=9
+1.84%
range -3.2% / +4.7% · n=9
GLD Gold
-0.20%
range -1.6% / +1.3% · n=9
-0.65%
range -2.3% / +2.2% · n=9
+1.09%
range -4.8% / +9.5% · n=9
IWM Russell 2000
+0.60%
range -1.8% / +3.0% · n=9
-0.71%
range -2.5% / +3.2% · n=9
+5.11%
range -2.3% / +10.2% · n=9
QQQ Nasdaq 100
T+1
+1.63%
-1.4 / +3.4
T+5
+0.86%
-3.3 / +3.4
T+30
+1.72%
-1.3 / +10.0
SPY S&P 500
T+1
+1.06%
-1.1 / +2.7
T+5
+0.74%
-1.8 / +2.3
T+30
+2.00%
-0.3 / +6.3
XLK Technology
T+1
+1.70%
-1.3 / +4.2
T+5
+1.27%
-3.4 / +3.6
T+30
+0.92%
-1.6 / +8.5
XLF Financials
T+1
-0.28%
-2.3 / +3.1
T+5
+0.40%
-1.9 / +1.1
T+30
+3.85%
-1.9 / +9.1
XLC Communication Services
T+1
+0.62%
-0.6 / +1.6
T+5
-0.74%
-2.3 / +0.1
T+30
-2.10%
-2.9 / +3.9
VIXY VIX Futures
T+1
-1.70%
-6.1 / +7.9
T+5
+0.09%
-10.6 / +7.6
T+30
-6.63%
-23.8 / +11.6
TLT 20+yr Treasuries
T+1
+0.12%
-0.5 / +1.9
T+5
+0.79%
-1.6 / +2.3
T+30
+1.84%
-3.2 / +4.7
GLD Gold
T+1
-0.20%
-1.6 / +1.3
T+5
-0.65%
-2.3 / +2.2
T+30
+1.09%
-4.8 / +9.5
IWM Russell 2000
T+1
+0.60%
-1.8 / +3.0
T+5
-0.71%
-2.5 / +3.2
T+30
+5.11%
-2.3 / +10.2

✓ Live example · Most recent event

NVDA 10-for-1 拆股 (AI 主题再确认) (2024-06-10) after QQQ — real close prices for
Event day 2024-06-10 QQQ closed at $459.78 30 calendar days later 2024-07-25 closed at $454.01 Math: ($454.01 ÷ $459.78) − 1 = -1.25%
You can replicate this with yfinance.download("QQQ", start="2024-06-10", end="2024-07-25") yourself.
Or see all asset returns from this event →
YOUR PORTFOLIO

Estimate how your portfolio reacts to this event

Enter your positions and instantly see the estimated 30-day P&L range under this event. No login required. We don't store inputs.

EVENT TIMELINE

Past events in this category

Every number on this page is aggregated from the events below. Click an event to see its per-asset returns, or click a source to verify the original report.

2024-06-10
NVDA 10-for-1 拆股 (AI 主题再确认) Source →
2021-04-14
Coinbase 直接上市，加密热度峰值 Source →
2020-12-10
Airbnb IPO (+112% 首日，后疫情风口) Source →
2020-08-31
Apple 4-for-1 拆股 (科技股拆股潮起) Source →
2019-05-10
Uber IPO 破发 (-7.6% 首日) Source →
2017-03-02
Snap IPO (+44% 首日) Source →
2014-09-19
Alibaba IPO ($250亿，史上最大) Source →
2012-05-18
Facebook IPO 后破发 (-9% 第一周) Source →
2008-03-19
Visa IPO ($179亿，金融危机前最大) Source →

Want to be alerted automatically when these events fire?

Sign up to AI Stock Monitor, link your real positions, and see the portfolio impact the moment the next event hits.

Sign up free
Methodology: historical analogs are built from a curated event list and yfinance total-return data. The Monte Carlo uses joint sampling — entire asset-return vectors drawn from the same historical event so cross-asset correlations are preserved. This page is informational and does not constitute investment advice.

© AI Stock Monitor