Correlation Between Catalyst/millburn and Anchor Risk
Can any of the company-specific risk be diversified away by investing in both Catalyst/millburn and Anchor Risk 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 Catalyst/millburn and Anchor Risk into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Catalystmillburn Hedge Strategy and Anchor Risk Managed, you can compare the effects of market volatilities on Catalyst/millburn and Anchor Risk 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 Catalyst/millburn with a short position of Anchor Risk. Check out your portfolio center. Please also check ongoing floating volatility patterns of Catalyst/millburn and Anchor Risk.
Diversification Opportunities for Catalyst/millburn and Anchor Risk
0.61 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Catalyst/millburn and Anchor is 0.61. Overlapping area represents the amount of risk that can be diversified away by holding Catalystmillburn Hedge Strateg and Anchor Risk Managed in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Anchor Risk Managed and Catalyst/millburn 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 Catalystmillburn Hedge Strategy are associated (or correlated) with Anchor Risk. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Anchor Risk Managed has no effect on the direction of Catalyst/millburn i.e., Catalyst/millburn and Anchor Risk go up and down completely randomly.
Pair Corralation between Catalyst/millburn and Anchor Risk
Assuming the 90 days horizon Catalystmillburn Hedge Strategy is expected to generate 0.74 times more return on investment than Anchor Risk. However, Catalystmillburn Hedge Strategy is 1.35 times less risky than Anchor Risk. It trades about 0.27 of its potential returns per unit of risk. Anchor Risk Managed is currently generating about 0.11 per unit of risk. If you would invest 3,755 in Catalystmillburn Hedge Strategy on September 5, 2024 and sell it today you would earn a total of 305.00 from holding Catalystmillburn Hedge Strategy or generate 8.12% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Catalystmillburn Hedge Strateg vs. Anchor Risk Managed
Performance |
Timeline |
Catalystmillburn Hedge |
Anchor Risk Managed |
Catalyst/millburn and Anchor Risk Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Catalyst/millburn and Anchor Risk
The main advantage of trading using opposite Catalyst/millburn and Anchor Risk positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Catalyst/millburn position performs unexpectedly, Anchor Risk 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 Anchor Risk will offset losses from the drop in Anchor Risk's long position.Catalyst/millburn vs. Volumetric Fund Volumetric | Catalyst/millburn vs. Federated Mdt Large | Catalyst/millburn vs. Nationwide Global Equity | Catalyst/millburn vs. Rbb Fund |
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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 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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