Correlation Between Financial Industries and Ab High
Can any of the company-specific risk be diversified away by investing in both Financial Industries and Ab High 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 Financial Industries and Ab High into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Financial Industries Fund and Ab High Income, you can compare the effects of market volatilities on Financial Industries and Ab High 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 Financial Industries with a short position of Ab High. Check out your portfolio center. Please also check ongoing floating volatility patterns of Financial Industries and Ab High.
Diversification Opportunities for Financial Industries and Ab High
0.24 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Financial and AGDAX is 0.24. Overlapping area represents the amount of risk that can be diversified away by holding Financial Industries Fund and Ab High Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ab High Income and Financial Industries 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 Financial Industries Fund are associated (or correlated) with Ab High. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ab High Income has no effect on the direction of Financial Industries i.e., Financial Industries and Ab High go up and down completely randomly.
Pair Corralation between Financial Industries and Ab High
Assuming the 90 days horizon Financial Industries Fund is expected to under-perform the Ab High. In addition to that, Financial Industries is 5.81 times more volatile than Ab High Income. It trades about -0.24 of its total potential returns per unit of risk. Ab High Income is currently generating about -0.09 per unit of volatility. If you would invest 708.00 in Ab High Income on July 21, 2025 and sell it today you would lose (3.00) from holding Ab High Income or give up 0.42% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Financial Industries Fund vs. Ab High Income
Performance |
Timeline |
Financial Industries |
Ab High Income |
Financial Industries and Ab High Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Financial Industries and Ab High
The main advantage of trading using opposite Financial Industries and Ab High positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Financial Industries position performs unexpectedly, Ab High 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 Ab High will offset losses from the drop in Ab High's long position.Financial Industries vs. Balanced Fund Retail | Financial Industries vs. Aam Select Income | Financial Industries vs. Fabwx | Financial Industries vs. Scharf Balanced Opportunity |
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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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
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