Correlation Between Artisan High and Catalyst/smh High
Can any of the company-specific risk be diversified away by investing in both Artisan High and Catalyst/smh 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 Artisan High and Catalyst/smh High into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Artisan High Income and Catalystsmh High Income, you can compare the effects of market volatilities on Artisan High and Catalyst/smh 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 Artisan High with a short position of Catalyst/smh High. Check out your portfolio center. Please also check ongoing floating volatility patterns of Artisan High and Catalyst/smh High.
Diversification Opportunities for Artisan High and Catalyst/smh High
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Artisan and Catalyst/smh is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding Artisan High Income and Catalystsmh High Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Catalystsmh High Income and Artisan High 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 Artisan High Income are associated (or correlated) with Catalyst/smh High. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Catalystsmh High Income has no effect on the direction of Artisan High i.e., Artisan High and Catalyst/smh High go up and down completely randomly.
Pair Corralation between Artisan High and Catalyst/smh High
Assuming the 90 days horizon Artisan High is expected to generate 1.12 times less return on investment than Catalyst/smh High. But when comparing it to its historical volatility, Artisan High Income is 1.22 times less risky than Catalyst/smh High. It trades about 0.18 of its potential returns per unit of risk. Catalystsmh High Income is currently generating about 0.16 of returns per unit of risk over similar time horizon. If you would invest 319.00 in Catalystsmh High Income on August 26, 2024 and sell it today you would earn a total of 58.00 from holding Catalystsmh High Income or generate 18.18% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Artisan High Income vs. Catalystsmh High Income
Performance |
Timeline |
Artisan High Income |
Catalystsmh High Income |
Artisan High and Catalyst/smh High Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Artisan High and Catalyst/smh High
The main advantage of trading using opposite Artisan High and Catalyst/smh High positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Artisan High position performs unexpectedly, Catalyst/smh 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 Catalyst/smh High will offset losses from the drop in Catalyst/smh High's long position.Artisan High vs. Allianzgi Vertible Fund | Artisan High vs. Invesco Vertible Securities | Artisan High vs. Columbia Vertible Securities | Artisan High vs. Calamos Dynamic Convertible |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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