Correlation Between Ab Sustainable and Ab Large
Can any of the company-specific risk be diversified away by investing in both Ab Sustainable and Ab Large 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 Ab Sustainable and Ab Large into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ab Sustainable Thematic and Ab Large Cap, you can compare the effects of market volatilities on Ab Sustainable and Ab Large 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 Ab Sustainable with a short position of Ab Large. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ab Sustainable and Ab Large.
Diversification Opportunities for Ab Sustainable and Ab Large
0.97 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between SUTZX and APGAX is 0.97. Overlapping area represents the amount of risk that can be diversified away by holding Ab Sustainable Thematic and Ab Large Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ab Large Cap and Ab Sustainable 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 Ab Sustainable Thematic are associated (or correlated) with Ab Large. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ab Large Cap has no effect on the direction of Ab Sustainable i.e., Ab Sustainable and Ab Large go up and down completely randomly.
Pair Corralation between Ab Sustainable and Ab Large
Assuming the 90 days horizon Ab Sustainable is expected to generate 1.62 times less return on investment than Ab Large. But when comparing it to its historical volatility, Ab Sustainable Thematic is 1.05 times less risky than Ab Large. It trades about 0.05 of its potential returns per unit of risk. Ab Large Cap is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 9,045 in Ab Large Cap on March 17, 2025 and sell it today you would earn a total of 778.00 from holding Ab Large Cap or generate 8.6% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Ab Sustainable Thematic vs. Ab Large Cap
Performance |
Timeline |
Ab Sustainable Thematic |
Ab Large Cap |
Ab Sustainable and Ab Large Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ab Sustainable and Ab Large
The main advantage of trading using opposite Ab Sustainable and Ab Large positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ab Sustainable position performs unexpectedly, Ab Large 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 Large will offset losses from the drop in Ab Large's long position.Ab Sustainable vs. Prudential Short Duration | Ab Sustainable vs. Leader Short Term Bond | Ab Sustainable vs. Cmg Ultra Short | Ab Sustainable vs. Jhancock Short Duration |
Ab Large vs. Ab Sustainable Global | Ab Large vs. Ab Relative Value | Ab Large vs. Ab Growth Fund | Ab Large vs. Ab Small Cap |
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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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