Playing Volatility: Making a 2020-Averse PortfolioIn this case we normalize the ratio between SPY and FDLO (one of the better-performing min-volatility etfs of the year) to the start of the year. We can clearly see a shift in favour of a min-volatility portfolio as of late.
Performing efficient frontier upon FDLO to narrow down our investments, w
Key stats
About Fidelity Low Volatility Factor ETF
Home page
Inception date
Sep 12, 2016
Structure
Open-Ended Fund
Dividend treatment
Distributes
Distribution tax treatment
Qualified dividends
Income tax type
Capital Gains
Max ST capital gains rate
39.60%
Max LT capital gains rate
20.00%
Primary advisor
Fidelity Management & Research Co. LLC
Distributor
Fidelity Distributors Corp.
FDLO hunts among the 1,000 largest US stocks for those with low volatility of returns and earnings. Potential holdings are screened using a scoring system based on three metrics: low volatility of returns, low beta, and low earnings volatility. Factor scores are also scaled by market cap. The portfolio is weighted so that sector exposure reflects the neutral market, with holdings within sectors weighted by a combination of market cap and factor score. The fund is rebalanced twice annually.
Classification
What's in the fund
Exposure type
Technology Services
Electronic Technology
Finance
Stock breakdown by region
Top 10 holdings
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.