Correlation Between Aprogen KIC and AptaBio Therapeutics
Can any of the company-specific risk be diversified away by investing in both Aprogen KIC and AptaBio 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 Aprogen KIC and AptaBio Therapeutics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Aprogen KIC and AptaBio Therapeutics, you can compare the effects of market volatilities on Aprogen KIC and AptaBio 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 Aprogen KIC with a short position of AptaBio Therapeutics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Aprogen KIC and AptaBio Therapeutics.
Diversification Opportunities for Aprogen KIC and AptaBio Therapeutics
0.57 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Aprogen and AptaBio is 0.57. Overlapping area represents the amount of risk that can be diversified away by holding Aprogen KIC and AptaBio Therapeutics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AptaBio Therapeutics and Aprogen KIC 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 Aprogen KIC are associated (or correlated) with AptaBio Therapeutics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AptaBio Therapeutics has no effect on the direction of Aprogen KIC i.e., Aprogen KIC and AptaBio Therapeutics go up and down completely randomly.
Pair Corralation between Aprogen KIC and AptaBio Therapeutics
Assuming the 90 days trading horizon Aprogen KIC is expected to under-perform the AptaBio Therapeutics. In addition to that, Aprogen KIC is 1.01 times more volatile than AptaBio Therapeutics. It trades about -0.17 of its total potential returns per unit of risk. AptaBio Therapeutics is currently generating about 0.07 per unit of volatility. If you would invest 644,000 in AptaBio Therapeutics on October 6, 2024 and sell it today you would earn a total of 21,000 from holding AptaBio Therapeutics or generate 3.26% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 95.0% |
Values | Daily Returns |
Aprogen KIC vs. AptaBio Therapeutics
Performance |
Timeline |
Aprogen KIC |
AptaBio Therapeutics |
Aprogen KIC and AptaBio Therapeutics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Aprogen KIC and AptaBio Therapeutics
The main advantage of trading using opposite Aprogen KIC and AptaBio Therapeutics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Aprogen KIC position performs unexpectedly, AptaBio 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 AptaBio Therapeutics will offset losses from the drop in AptaBio Therapeutics' long position.Aprogen KIC vs. Nice Information Telecommunication | Aprogen KIC vs. Daishin Information Communications | Aprogen KIC vs. Samick Musical Instruments | Aprogen KIC vs. Dong A Steel Technology |
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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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