Correlation Between Catalyst Media and IShares Physical
Can any of the company-specific risk be diversified away by investing in both Catalyst Media and IShares Physical 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 Media and IShares Physical into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Catalyst Media Group and iShares Physical Silver, you can compare the effects of market volatilities on Catalyst Media and IShares Physical 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 Media with a short position of IShares Physical. Check out your portfolio center. Please also check ongoing floating volatility patterns of Catalyst Media and IShares Physical.
Diversification Opportunities for Catalyst Media and IShares Physical
0.57 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Catalyst and IShares is 0.57. Overlapping area represents the amount of risk that can be diversified away by holding Catalyst Media Group and iShares Physical Silver in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on iShares Physical Silver and Catalyst Media 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 Catalyst Media Group are associated (or correlated) with IShares Physical. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of iShares Physical Silver has no effect on the direction of Catalyst Media i.e., Catalyst Media and IShares Physical go up and down completely randomly.
Pair Corralation between Catalyst Media and IShares Physical
Assuming the 90 days trading horizon Catalyst Media Group is expected to generate 2.22 times more return on investment than IShares Physical. However, Catalyst Media is 2.22 times more volatile than iShares Physical Silver. It trades about 0.12 of its potential returns per unit of risk. iShares Physical Silver is currently generating about 0.13 per unit of risk. If you would invest 7,600 in Catalyst Media Group on October 22, 2024 and sell it today you would earn a total of 400.00 from holding Catalyst Media Group or generate 5.26% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Catalyst Media Group vs. iShares Physical Silver
Performance |
Timeline |
Catalyst Media Group |
iShares Physical Silver |
Catalyst Media and IShares Physical Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Catalyst Media and IShares Physical
The main advantage of trading using opposite Catalyst Media and IShares Physical positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Catalyst Media position performs unexpectedly, IShares Physical 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 IShares Physical will offset losses from the drop in IShares Physical's long position.Catalyst Media vs. Eastinco Mining Exploration | Catalyst Media vs. First Class Metals | Catalyst Media vs. Wheaton Precious Metals | Catalyst Media vs. URU Metals |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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