Franklin Multisector Income ETF (MULT) — Stock Correlations & Overview

Over the past year, MULT has moved most closely with IGIB, VCIT, IGEB. Explore the stocks most correlated and inversely correlated with MULT below, along with its price, financials, and company profile.

Stocks correlated with MULT

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

Most correlated with MULT

SymbolCompanyCorrelation
IGIBiShares Trust iShares 5-10 Year Investment Grade Corporate Bond ETF0.85
VCITVanguard Intermediate-Term Corporate Bond ETF0.84
IGEBiShares Investment Grade Systematic Bond ETF0.84
IUSBiShares Trust iShares Core Universal USD Bond ETF0.84
AGGiShares Core U.S. Aggregate Bond ETF0.84

Most inversely correlated with MULT

SymbolCompanyCorrelation
PSTProShares Trust UltraShort Lehman 7-10 Year Treasury-0.74
TBXProShares Short 7-10 Year Treasury-0.72
TYODirexion Daily 7-10 Year Treasury Bear 3X ETF-0.72
TBTProShares Trust UltraShort Lehman 20+ Year Treasury-0.66
TMVDirexion Daily 20+ Year Treasury Bear 3X ETF-0.66

Frequently asked questions about MULT correlations

Which stocks are most correlated with MULT?
Based on one year of daily returns, the stocks most correlated with Franklin Multisector Income ETF (MULT) are IGIB (0.85), VCIT (0.84) and IGEB (0.84). 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 MULT?
Over the past year, the stocks most inversely correlated with Franklin Multisector Income ETF (MULT) are PST (-0.74), TBX (-0.72) and TYO (-0.72). 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 MULT correlations calculated?
We compute the correlation of daily returns between MULT 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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