First Trust NASDAQ Clean Edge Smart Grid Infrastructure Index FundFirst Trust NASDAQ Clean Edge Smart Grid Infrastructure Index FundFirst Trust NASDAQ Clean Edge Smart Grid Infrastructure Index Fund

First Trust NASDAQ Clean Edge Smart Grid Infrastructure Index Fund

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Key stats


Assets under management (AUM)
‪1.96 B‬USD
Fund flows (1Y)
‪944.10 M‬USD
Dividend yield (indicated)
1.09%
Discount/Premium to NAV
−0.2%

About First Trust NASDAQ Clean Edge Smart Grid Infrastructure Index Fund


Issuer
AJM Ventures LLC
Brand
First Trust
Expense ratio
0.57%
Inception date
Nov 17, 2009
Index tracked
NASDAQ OMX Clean Edge Smart Grid Infrastr (TR)
Management style
Passive
GRID is concentrated fund targeting global equities determined to be in the smart grid and electrical energy infrastructure sector as determined by Clean Edge. The fund includes companies that are either Pure Play more than 50% revenues or Diversified less than 50% revenues are derived from the smart grid and electrical energy infrastructure sector. The sector may include business in electric grid, electric meters and devices, networks, energy storage and management, and enabling software. GRID also screens for minimum liquidity and market cap. To enhance exposure to the smart grid market, the index provider uses a tiered weighting scheme. Securities are initially market cap weighted. Then a collective weight of 80% for Pure Play and 20% for Diversified are allocated. The Index is reconstituted semi-annually and rebalanced quarter.

Classification


Asset Class
Equity
Category
Sector
Focus
Theme
Niche
Infrastructure
Strategy
Equal
Weighting scheme
Tiered
Selection criteria
Market cap
What's in the fund
Exposure type
StocksBonds, Cash & Other
Producer Manufacturing
Utilities
Electronic Technology
Stock breakdown by region
2%54%35%7%
Summarizing what the indicators are suggesting.
Oscillators
Neutral
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Neutral
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Neutral
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Neutral
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Moving Averages
Neutral
SellBuy
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Moving Averages
Neutral
SellBuy
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Strong sellSellNeutralBuyStrong buy
Displays a symbol's price movements over previous years to identify recurring trends.