Correlation Between Catalyst Pharmaceuticals and Atmos Energy
Can any of the company-specific risk be diversified away by investing in both Catalyst Pharmaceuticals and Atmos Energy 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 Pharmaceuticals and Atmos Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Catalyst Pharmaceuticals and Atmos Energy, you can compare the effects of market volatilities on Catalyst Pharmaceuticals and Atmos Energy 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 Pharmaceuticals with a short position of Atmos Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Catalyst Pharmaceuticals and Atmos Energy.
Diversification Opportunities for Catalyst Pharmaceuticals and Atmos Energy
0.58 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Catalyst and Atmos is 0.58. Overlapping area represents the amount of risk that can be diversified away by holding Catalyst Pharmaceuticals and Atmos Energy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Atmos Energy and Catalyst Pharmaceuticals 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 Pharmaceuticals are associated (or correlated) with Atmos Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Atmos Energy has no effect on the direction of Catalyst Pharmaceuticals i.e., Catalyst Pharmaceuticals and Atmos Energy go up and down completely randomly.
Pair Corralation between Catalyst Pharmaceuticals and Atmos Energy
Given the investment horizon of 90 days Catalyst Pharmaceuticals is expected to generate 2.19 times more return on investment than Atmos Energy. However, Catalyst Pharmaceuticals is 2.19 times more volatile than Atmos Energy. It trades about 0.08 of its potential returns per unit of risk. Atmos Energy is currently generating about 0.1 per unit of risk. If you would invest 2,029 in Catalyst Pharmaceuticals on September 12, 2024 and sell it today you would earn a total of 182.00 from holding Catalyst Pharmaceuticals or generate 8.97% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Catalyst Pharmaceuticals vs. Atmos Energy
Performance |
Timeline |
Catalyst Pharmaceuticals |
Atmos Energy |
Catalyst Pharmaceuticals and Atmos Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Catalyst Pharmaceuticals and Atmos Energy
The main advantage of trading using opposite Catalyst Pharmaceuticals and Atmos Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Catalyst Pharmaceuticals position performs unexpectedly, Atmos Energy 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 Atmos Energy will offset losses from the drop in Atmos Energy's long position.Catalyst Pharmaceuticals vs. Day One Biopharmaceuticals | Catalyst Pharmaceuticals vs. Terns Pharmaceuticals | Catalyst Pharmaceuticals vs. X4 Pharmaceuticals | Catalyst Pharmaceuticals vs. Inozyme Pharma |
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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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
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