Correlation Between Ab New and Catalyst/millburn
Can any of the company-specific risk be diversified away by investing in both Ab New and Catalyst/millburn 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 New and Catalyst/millburn into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ab New York and Catalystmillburn Hedge Strategy, you can compare the effects of market volatilities on Ab New and Catalyst/millburn 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 New with a short position of Catalyst/millburn. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ab New and Catalyst/millburn.
Diversification Opportunities for Ab New and Catalyst/millburn
0.13 | Correlation Coefficient |
Average diversification
The 3 months correlation between ALNVX and Catalyst/millburn is 0.13. Overlapping area represents the amount of risk that can be diversified away by holding Ab New York and Catalystmillburn Hedge Strateg in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Catalystmillburn Hedge and Ab New 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 New York are associated (or correlated) with Catalyst/millburn. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Catalystmillburn Hedge has no effect on the direction of Ab New i.e., Ab New and Catalyst/millburn go up and down completely randomly.
Pair Corralation between Ab New and Catalyst/millburn
Assuming the 90 days horizon Ab New is expected to generate 2.73 times less return on investment than Catalyst/millburn. But when comparing it to its historical volatility, Ab New York is 3.13 times less risky than Catalyst/millburn. It trades about 0.05 of its potential returns per unit of risk. Catalystmillburn Hedge Strategy is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 3,473 in Catalystmillburn Hedge Strategy on October 26, 2024 and sell it today you would earn a total of 521.00 from holding Catalystmillburn Hedge Strategy or generate 15.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Ab New York vs. Catalystmillburn Hedge Strateg
Performance |
Timeline |
Ab New York |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Catalystmillburn Hedge |
Ab New and Catalyst/millburn Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ab New and Catalyst/millburn
The main advantage of trading using opposite Ab New and Catalyst/millburn positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ab New position performs unexpectedly, Catalyst/millburn 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 Catalyst/millburn will offset losses from the drop in Catalyst/millburn's long position.Ab New vs. Mid Cap Growth | Ab New vs. Eip Growth And | Ab New vs. Needham Aggressive Growth | Ab New vs. Tfa Alphagen Growth |
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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 Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
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