Correlation Between Catalyst/smh High and Inverse High
Can any of the company-specific risk be diversified away by investing in both Catalyst/smh High and Inverse 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 Catalyst/smh High and Inverse High into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Catalystsmh High Income and Inverse High Yield, you can compare the effects of market volatilities on Catalyst/smh High and Inverse 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 Catalyst/smh High with a short position of Inverse High. Check out your portfolio center. Please also check ongoing floating volatility patterns of Catalyst/smh High and Inverse High.
Diversification Opportunities for Catalyst/smh High and Inverse High
-0.45 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Catalyst/smh and Inverse is -0.45. Overlapping area represents the amount of risk that can be diversified away by holding Catalystsmh High Income and Inverse High Yield in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Inverse High Yield and Catalyst/smh 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 Catalystsmh High Income are associated (or correlated) with Inverse High. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Inverse High Yield has no effect on the direction of Catalyst/smh High i.e., Catalyst/smh High and Inverse High go up and down completely randomly.
Pair Corralation between Catalyst/smh High and Inverse High
Assuming the 90 days horizon Catalystsmh High Income is expected to generate 0.79 times more return on investment than Inverse High. However, Catalystsmh High Income is 1.27 times less risky than Inverse High. It trades about 0.11 of its potential returns per unit of risk. Inverse High Yield is currently generating about 0.01 per unit of risk. If you would invest 367.00 in Catalystsmh High Income on October 25, 2024 and sell it today you would earn a total of 7.00 from holding Catalystsmh High Income or generate 1.91% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Catalystsmh High Income vs. Inverse High Yield
Performance |
Timeline |
Catalystsmh High Income |
Inverse High Yield |
Catalyst/smh High and Inverse High Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Catalyst/smh High and Inverse High
The main advantage of trading using opposite Catalyst/smh High and Inverse High positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Catalyst/smh High position performs unexpectedly, Inverse 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 Inverse High will offset losses from the drop in Inverse High's long position.Catalyst/smh High vs. Victory Rs Partners | Catalyst/smh High vs. Fidelity Small Cap | Catalyst/smh High vs. Small Cap Value | Catalyst/smh High vs. Ab Small Cap |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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