Correlation Between HMM and Aprogen KIC
Can any of the company-specific risk be diversified away by investing in both HMM and Aprogen KIC 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 HMM and Aprogen KIC into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between HMM Co and Aprogen KIC, you can compare the effects of market volatilities on HMM and Aprogen KIC 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 HMM with a short position of Aprogen KIC. Check out your portfolio center. Please also check ongoing floating volatility patterns of HMM and Aprogen KIC.
Diversification Opportunities for HMM and Aprogen KIC
-0.3 | Correlation Coefficient |
Very good diversification
The 3 months correlation between HMM and Aprogen is -0.3. Overlapping area represents the amount of risk that can be diversified away by holding HMM Co and Aprogen KIC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Aprogen KIC and HMM 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 HMM Co are associated (or correlated) with Aprogen KIC. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Aprogen KIC has no effect on the direction of HMM i.e., HMM and Aprogen KIC go up and down completely randomly.
Pair Corralation between HMM and Aprogen KIC
Assuming the 90 days trading horizon HMM Co is expected to generate 0.54 times more return on investment than Aprogen KIC. However, HMM Co is 1.85 times less risky than Aprogen KIC. It trades about 0.0 of its potential returns per unit of risk. Aprogen KIC is currently generating about -0.01 per unit of risk. If you would invest 2,057,884 in HMM Co on October 4, 2024 and sell it today you would lose (291,884) from holding HMM Co or give up 14.18% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
HMM Co vs. Aprogen KIC
Performance |
Timeline |
HMM Co |
Aprogen KIC |
HMM and Aprogen KIC Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with HMM and Aprogen KIC
The main advantage of trading using opposite HMM and Aprogen KIC positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if HMM position performs unexpectedly, Aprogen KIC 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 Aprogen KIC will offset losses from the drop in Aprogen KIC's long position.The idea behind HMM Co and Aprogen KIC pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Aprogen KIC vs. AptaBio Therapeutics | Aprogen KIC vs. Woori Technology Investment | Aprogen KIC vs. Solution Advanced Technology | Aprogen KIC vs. Busan Industrial Co |
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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