Correlation Between Catalyst Media and Xeros Technology
Can any of the company-specific risk be diversified away by investing in both Catalyst Media and Xeros Technology 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 Xeros Technology 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 Xeros Technology Group, you can compare the effects of market volatilities on Catalyst Media and Xeros Technology 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 Xeros Technology. Check out your portfolio center. Please also check ongoing floating volatility patterns of Catalyst Media and Xeros Technology.
Diversification Opportunities for Catalyst Media and Xeros Technology
-0.28 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Catalyst and Xeros is -0.28. Overlapping area represents the amount of risk that can be diversified away by holding Catalyst Media Group and Xeros Technology Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Xeros Technology 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 Xeros Technology. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Xeros Technology has no effect on the direction of Catalyst Media i.e., Catalyst Media and Xeros Technology go up and down completely randomly.
Pair Corralation between Catalyst Media and Xeros Technology
Assuming the 90 days trading horizon Catalyst Media Group is expected to generate 0.64 times more return on investment than Xeros Technology. However, Catalyst Media Group is 1.56 times less risky than Xeros Technology. It trades about -0.01 of its potential returns per unit of risk. Xeros Technology Group is currently generating about -0.23 per unit of risk. If you would invest 8,500 in Catalyst Media Group on September 20, 2024 and sell it today you would lose (250.00) from holding Catalyst Media Group or give up 2.94% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Catalyst Media Group vs. Xeros Technology Group
Performance |
Timeline |
Catalyst Media Group |
Xeros Technology |
Catalyst Media and Xeros Technology Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Catalyst Media and Xeros Technology
The main advantage of trading using opposite Catalyst Media and Xeros Technology positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Catalyst Media position performs unexpectedly, Xeros Technology 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 Xeros Technology will offset losses from the drop in Xeros Technology's long position.Catalyst Media vs. Zoom Video Communications | Catalyst Media vs. Batm Advanced Communications | Catalyst Media vs. United Internet AG | Catalyst Media vs. mobilezone holding AG |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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