Correlation Between Ab Select and Catalystsmh Total
Can any of the company-specific risk be diversified away by investing in both Ab Select and Catalystsmh Total 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 Select and Catalystsmh Total into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ab Select Longshort and Catalystsmh Total Return, you can compare the effects of market volatilities on Ab Select and Catalystsmh Total 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 Select with a short position of Catalystsmh Total. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ab Select and Catalystsmh Total.
Diversification Opportunities for Ab Select and Catalystsmh Total
0.98 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between ASCLX and Catalystsmh is 0.98. Overlapping area represents the amount of risk that can be diversified away by holding Ab Select Longshort and Catalystsmh Total Return in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Catalystsmh Total Return and Ab Select 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 Select Longshort are associated (or correlated) with Catalystsmh Total. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Catalystsmh Total Return has no effect on the direction of Ab Select i.e., Ab Select and Catalystsmh Total go up and down completely randomly.
Pair Corralation between Ab Select and Catalystsmh Total
Assuming the 90 days horizon Ab Select is expected to generate 2.28 times less return on investment than Catalystsmh Total. But when comparing it to its historical volatility, Ab Select Longshort is 1.99 times less risky than Catalystsmh Total. It trades about 0.22 of its potential returns per unit of risk. Catalystsmh Total Return is currently generating about 0.26 of returns per unit of risk over similar time horizon. If you would invest 438.00 in Catalystsmh Total Return on May 17, 2025 and sell it today you would earn a total of 48.00 from holding Catalystsmh Total Return or generate 10.96% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Ab Select Longshort vs. Catalystsmh Total Return
Performance |
Timeline |
Ab Select Longshort |
Catalystsmh Total Return |
Ab Select and Catalystsmh Total Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ab Select and Catalystsmh Total
The main advantage of trading using opposite Ab Select and Catalystsmh Total positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ab Select position performs unexpectedly, Catalystsmh Total 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 Catalystsmh Total will offset losses from the drop in Catalystsmh Total's long position.Ab Select vs. John Hancock Financial | Ab Select vs. Vanguard Financials Index | Ab Select vs. Gabelli Global Financial | Ab Select vs. Rmb Mendon Financial |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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