Correlation Between Alpha Teknova and CytoMed Therapeutics
Can any of the company-specific risk be diversified away by investing in both Alpha Teknova and CytoMed Therapeutics 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 Alpha Teknova and CytoMed Therapeutics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Alpha Teknova and CytoMed Therapeutics Limited, you can compare the effects of market volatilities on Alpha Teknova and CytoMed Therapeutics 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 Alpha Teknova with a short position of CytoMed Therapeutics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Alpha Teknova and CytoMed Therapeutics.
Diversification Opportunities for Alpha Teknova and CytoMed Therapeutics
0.58 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Alpha and CytoMed is 0.58. Overlapping area represents the amount of risk that can be diversified away by holding Alpha Teknova and CytoMed Therapeutics Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CytoMed Therapeutics and Alpha Teknova 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 Alpha Teknova are associated (or correlated) with CytoMed Therapeutics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CytoMed Therapeutics has no effect on the direction of Alpha Teknova i.e., Alpha Teknova and CytoMed Therapeutics go up and down completely randomly.
Pair Corralation between Alpha Teknova and CytoMed Therapeutics
Given the investment horizon of 90 days Alpha Teknova is expected to generate 0.69 times more return on investment than CytoMed Therapeutics. However, Alpha Teknova is 1.45 times less risky than CytoMed Therapeutics. It trades about 0.09 of its potential returns per unit of risk. CytoMed Therapeutics Limited is currently generating about 0.02 per unit of risk. If you would invest 679.00 in Alpha Teknova on October 25, 2024 and sell it today you would earn a total of 160.00 from holding Alpha Teknova or generate 23.56% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Alpha Teknova vs. CytoMed Therapeutics Limited
Performance |
Timeline |
Alpha Teknova |
CytoMed Therapeutics |
Alpha Teknova and CytoMed Therapeutics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Alpha Teknova and CytoMed Therapeutics
The main advantage of trading using opposite Alpha Teknova and CytoMed Therapeutics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Alpha Teknova position performs unexpectedly, CytoMed Therapeutics 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 CytoMed Therapeutics will offset losses from the drop in CytoMed Therapeutics' long position.Alpha Teknova vs. Collegium Pharmaceutical | Alpha Teknova vs. Phibro Animal Health | Alpha Teknova vs. ANI Pharmaceuticals | Alpha Teknova vs. Procaps Group SA |
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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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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