Correlation Between Akebia Ther and Protalix Biotherapeutics
Can any of the company-specific risk be diversified away by investing in both Akebia Ther and Protalix Biotherapeutics 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 Akebia Ther and Protalix Biotherapeutics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Akebia Ther and Protalix Biotherapeutics, you can compare the effects of market volatilities on Akebia Ther and Protalix Biotherapeutics 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 Akebia Ther with a short position of Protalix Biotherapeutics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Akebia Ther and Protalix Biotherapeutics.
Diversification Opportunities for Akebia Ther and Protalix Biotherapeutics
0.75 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Akebia and Protalix is 0.75. Overlapping area represents the amount of risk that can be diversified away by holding Akebia Ther and Protalix Biotherapeutics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Protalix Biotherapeutics and Akebia Ther 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 Akebia Ther are associated (or correlated) with Protalix Biotherapeutics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Protalix Biotherapeutics has no effect on the direction of Akebia Ther i.e., Akebia Ther and Protalix Biotherapeutics go up and down completely randomly.
Pair Corralation between Akebia Ther and Protalix Biotherapeutics
Given the investment horizon of 90 days Akebia Ther is expected to generate 1.47 times more return on investment than Protalix Biotherapeutics. However, Akebia Ther is 1.47 times more volatile than Protalix Biotherapeutics. It trades about 0.09 of its potential returns per unit of risk. Protalix Biotherapeutics is currently generating about 0.04 per unit of risk. If you would invest 37.00 in Akebia Ther on September 2, 2024 and sell it today you would earn a total of 169.00 from holding Akebia Ther or generate 456.76% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Akebia Ther vs. Protalix Biotherapeutics
Performance |
Timeline |
Akebia Ther |
Protalix Biotherapeutics |
Akebia Ther and Protalix Biotherapeutics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Akebia Ther and Protalix Biotherapeutics
The main advantage of trading using opposite Akebia Ther and Protalix Biotherapeutics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Akebia Ther position performs unexpectedly, Protalix Biotherapeutics 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 Protalix Biotherapeutics will offset losses from the drop in Protalix Biotherapeutics' long position.Akebia Ther vs. Protalix Biotherapeutics | Akebia Ther vs. Cidara Therapeutics | Akebia Ther vs. X4 Pharmaceuticals | Akebia Ther vs. Seres Therapeutics |
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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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