Cambria Global Momentum ETFCambria Global Momentum ETFCambria Global Momentum ETF

Cambria Global Momentum ETF

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Key stats


Assets under management (AUM)
‪113.37 M‬USD
Fund flows (1Y)
‪−48.71 M‬USD
Dividend yield (indicated)
3.34%
Discount/Premium to NAV
−1.3%

About Cambria Global Momentum ETF


Issuer
Cambria Investment Management LP
Brand
Cambria
Expense ratio
1.02%
Inception date
Nov 4, 2014
Index tracked
No Underlying Index
Management style
Active
GMOMs portfolio is actively managed that base its investments on volatility or momentum indicators to look for top-performing assets. The funds target universe is a blend of various assets consisting of domestic and foreign stocks, bonds, real estate, commodities and currencies. Structured as a fund-of-funds, GMOM aims to invest in the top third of the target universe of approximately 50 ETFs based on a combination of trailing momentum and trend, typically measured over periods of less than two years. When momentum is strong but negative, GMOM can move to bonds and cash.

Classification


Asset Class
Asset allocation
Category
Asset allocation
Focus
Target outcome
Niche
Capital appreciation
Strategy
Active
Weighting scheme
Proprietary
Selection criteria
Proprietary
What's in the fund
Exposure type
Bonds, Cash & Other
ETF
Bonds, Cash & Other100.00%
ETF99.90%
Mutual fund0.12%
Cash−0.02%
Summarizing what the indicators are suggesting.
Oscillators
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Oscillators
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Summary
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Summary
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Summary
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Moving Averages
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Moving Averages
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Displays a symbol's price movements over previous years to identify recurring trends.