Correlation Between ABL Bio and Samsung Card
Can any of the company-specific risk be diversified away by investing in both ABL Bio and Samsung Card 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 ABL Bio and Samsung Card into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ABL Bio and Samsung Card Co, you can compare the effects of market volatilities on ABL Bio and Samsung Card 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 ABL Bio with a short position of Samsung Card. Check out your portfolio center. Please also check ongoing floating volatility patterns of ABL Bio and Samsung Card.
Diversification Opportunities for ABL Bio and Samsung Card
-0.47 | Correlation Coefficient |
Very good diversification
The 3 months correlation between ABL and Samsung is -0.47. Overlapping area represents the amount of risk that can be diversified away by holding ABL Bio and Samsung Card Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Samsung Card and ABL Bio 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 ABL Bio are associated (or correlated) with Samsung Card. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Samsung Card has no effect on the direction of ABL Bio i.e., ABL Bio and Samsung Card go up and down completely randomly.
Pair Corralation between ABL Bio and Samsung Card
Assuming the 90 days trading horizon ABL Bio is expected to under-perform the Samsung Card. In addition to that, ABL Bio is 2.68 times more volatile than Samsung Card Co. It trades about -0.05 of its total potential returns per unit of risk. Samsung Card Co is currently generating about -0.02 per unit of volatility. If you would invest 4,410,000 in Samsung Card Co on September 2, 2024 and sell it today you would lose (140,000) from holding Samsung Card Co or give up 3.17% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
ABL Bio vs. Samsung Card Co
Performance |
Timeline |
ABL Bio |
Samsung Card |
ABL Bio and Samsung Card Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ABL Bio and Samsung Card
The main advantage of trading using opposite ABL Bio and Samsung Card positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ABL Bio position performs unexpectedly, Samsung Card 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 Samsung Card will offset losses from the drop in Samsung Card's long position.The idea behind ABL Bio and Samsung Card Co 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.Samsung Card vs. Sangsin Energy Display | Samsung Card vs. Chin Yang Chemical | Samsung Card vs. SH Energy Chemical | Samsung Card vs. Hannong Chemicals |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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