Correlation Between SPDR Bloomberg and Angel Oak
Can any of the company-specific risk be diversified away by investing in both SPDR Bloomberg and Angel Oak at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining SPDR Bloomberg and Angel Oak into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SPDR Bloomberg Short and Angel Oak High, you can compare the effects of market volatilities on SPDR Bloomberg and Angel Oak and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in SPDR Bloomberg with a short position of Angel Oak. Check out your portfolio center. Please also check ongoing floating volatility patterns of SPDR Bloomberg and Angel Oak.
Diversification Opportunities for SPDR Bloomberg and Angel Oak
0.94 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between SPDR and Angel is 0.94. Overlapping area represents the amount of risk that can be diversified away by holding SPDR Bloomberg Short and Angel Oak High in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Angel Oak High and SPDR Bloomberg is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on SPDR Bloomberg Short are associated (or correlated) with Angel Oak. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Angel Oak High has no effect on the direction of SPDR Bloomberg i.e., SPDR Bloomberg and Angel Oak go up and down completely randomly.
Pair Corralation between SPDR Bloomberg and Angel Oak
Given the investment horizon of 90 days SPDR Bloomberg is expected to generate 1.05 times less return on investment than Angel Oak. In addition to that, SPDR Bloomberg is 1.27 times more volatile than Angel Oak High. It trades about 0.12 of its total potential returns per unit of risk. Angel Oak High is currently generating about 0.16 per unit of volatility. If you would invest 1,086 in Angel Oak High on December 19, 2024 and sell it today you would earn a total of 19.00 from holding Angel Oak High or generate 1.75% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
SPDR Bloomberg Short vs. Angel Oak High
Performance |
Timeline |
SPDR Bloomberg Short |
Angel Oak High |
SPDR Bloomberg and Angel Oak Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SPDR Bloomberg and Angel Oak
The main advantage of trading using opposite SPDR Bloomberg and Angel Oak positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SPDR Bloomberg position performs unexpectedly, Angel Oak can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Angel Oak will offset losses from the drop in Angel Oak's long position.SPDR Bloomberg vs. PIMCO 0 5 Year | SPDR Bloomberg vs. iShares 0 5 Year | SPDR Bloomberg vs. Invesco Senior Loan | SPDR Bloomberg vs. SPDR Blackstone Senior |
Angel Oak vs. Virtus Newfleet Multi Sector | Angel Oak vs. FlexShares Core Select | Angel Oak vs. Invesco BulletShares 2025 | Angel Oak vs. Aquagold International |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
Other Complementary Tools
USA ETFs Find actively traded Exchange Traded Funds (ETF) in USA | |
Global Markets Map Get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes | |
Portfolio File Import Quickly import all of your third-party portfolios from your local drive in csv format | |
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm |