Correlation Between Angel Oak and Vanguard Financials
Can any of the company-specific risk be diversified away by investing in both Angel Oak and Vanguard Financials 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 Angel Oak and Vanguard Financials into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Angel Oak Financial and Vanguard Financials Index, you can compare the effects of market volatilities on Angel Oak and Vanguard Financials 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 Angel Oak with a short position of Vanguard Financials. Check out your portfolio center. Please also check ongoing floating volatility patterns of Angel Oak and Vanguard Financials.
Diversification Opportunities for Angel Oak and Vanguard Financials
0.53 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Angel and Vanguard is 0.53. Overlapping area represents the amount of risk that can be diversified away by holding Angel Oak Financial and Vanguard Financials Index in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Vanguard Financials Index and Angel Oak 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 Angel Oak Financial are associated (or correlated) with Vanguard Financials. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Vanguard Financials Index has no effect on the direction of Angel Oak i.e., Angel Oak and Vanguard Financials go up and down completely randomly.
Pair Corralation between Angel Oak and Vanguard Financials
Assuming the 90 days horizon Angel Oak Financial is expected to generate 0.21 times more return on investment than Vanguard Financials. However, Angel Oak Financial is 4.83 times less risky than Vanguard Financials. It trades about 0.07 of its potential returns per unit of risk. Vanguard Financials Index is currently generating about 0.01 per unit of risk. If you would invest 1,402 in Angel Oak Financial on December 29, 2024 and sell it today you would earn a total of 14.00 from holding Angel Oak Financial or generate 1.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Angel Oak Financial vs. Vanguard Financials Index
Performance |
Timeline |
Angel Oak Financial |
Vanguard Financials Index |
Angel Oak and Vanguard Financials Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Angel Oak and Vanguard Financials
The main advantage of trading using opposite Angel Oak and Vanguard Financials positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Angel Oak position performs unexpectedly, Vanguard Financials 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 Vanguard Financials will offset losses from the drop in Vanguard Financials' long position.Angel Oak vs. Gabelli Global Financial | Angel Oak vs. Mesirow Financial Small | Angel Oak vs. Icon Financial Fund | Angel Oak vs. Blackrock Financial Institutions |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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