Franklin Intelligent Machines ETF (IQM) — Stock Correlations & Overview

Over the past year, IQM has moved most closely with FWD, BAI, JHAI. Explore the stocks most correlated and inversely correlated with IQM below, along with its price, financials, and company profile.

Stocks correlated with IQM

Correlation of daily returns. Higher positive values move with IQM; negative values move opposite it. Informational only, not investment advice.

Most correlated with IQM

SymbolCompanyCorrelation
FWDAB Disruptors ETF0.96
BAIiShares A.I. Innovation and Tech Active ETF0.96
JHAIJanus Henderson Global Artificial Intelligence ETF0.95
TEKiShares Technology Opportunities Active ETF0.94
PWBInvesco Large Cap Growth ETF0.94

Most inversely correlated with IQM

SymbolCompanyCorrelation
SOXSDirexion Daily Semiconductor Bear 3X ETF-0.91
TECSDirexion Daily Technology Bear 3x ETF-0.91
REWProshares UltraShort Technology-0.91
SSGProShares UltraShort Semiconductors-0.90
TSXDDirexion Daily Semiconductors Top 5 Bear 2X ETF-0.90

Frequently asked questions about IQM correlations

Which stocks are most correlated with IQM?
Based on one year of daily returns, the stocks most correlated with Franklin Intelligent Machines ETF (IQM) are FWD (0.96), BAI (0.96) and JHAI (0.95). A correlation near 1.00 means the two stocks' daily moves have tracked each other closely over the period.
Which stocks are inversely correlated with IQM?
Over the past year, the stocks most inversely correlated with Franklin Intelligent Machines ETF (IQM) are SOXS (-0.91), TECS (-0.91) and REW (-0.91). A negative correlation means the two stocks have tended to move in opposite directions.
What does a correlation of 0.8 mean for a stock?
Correlation measures how closely two stocks' daily returns move together, on a scale from -1 to 1. At 0.8, the two stocks have moved in the same direction on most days — though not by identical amounts. A value near 0 means their moves have been unrelated, and a negative value means they have tended to move in opposite directions. Correlation reflects past behavior and can change over time.
How are these IQM correlations calculated?
We compute the correlation of daily returns between IQM and roughly 9,000 other US-listed stocks and ETFs over the trailing one-year window, then rank the strongest positive and negative relationships. The data is refreshed monthly. It is informational and educational only — not investment advice.
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