Correlation Between Samsung Life and Celltrion Pharm
Can any of the company-specific risk be diversified away by investing in both Samsung Life and Celltrion Pharm 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 Samsung Life and Celltrion Pharm into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Samsung Life and Celltrion Pharm, you can compare the effects of market volatilities on Samsung Life and Celltrion Pharm 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 Samsung Life with a short position of Celltrion Pharm. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Life and Celltrion Pharm.
Diversification Opportunities for Samsung Life and Celltrion Pharm
-0.53 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Samsung and Celltrion is -0.53. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Life and Celltrion Pharm in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Celltrion Pharm and Samsung Life 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 Samsung Life are associated (or correlated) with Celltrion Pharm. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Celltrion Pharm has no effect on the direction of Samsung Life i.e., Samsung Life and Celltrion Pharm go up and down completely randomly.
Pair Corralation between Samsung Life and Celltrion Pharm
Assuming the 90 days trading horizon Samsung Life is expected to generate 0.64 times more return on investment than Celltrion Pharm. However, Samsung Life is 1.57 times less risky than Celltrion Pharm. It trades about 0.04 of its potential returns per unit of risk. Celltrion Pharm is currently generating about 0.01 per unit of risk. If you would invest 7,180,000 in Samsung Life on October 4, 2024 and sell it today you would earn a total of 2,300,000 from holding Samsung Life or generate 32.03% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Samsung Life vs. Celltrion Pharm
Performance |
Timeline |
Samsung Life |
Celltrion Pharm |
Samsung Life and Celltrion Pharm Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samsung Life and Celltrion Pharm
The main advantage of trading using opposite Samsung Life and Celltrion Pharm positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Life position performs unexpectedly, Celltrion Pharm 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 Celltrion Pharm will offset losses from the drop in Celltrion Pharm's long position.Samsung Life vs. Daou Data Corp | Samsung Life vs. Solution Advanced Technology | Samsung Life vs. Busan Industrial Co | Samsung Life vs. Busan Ind |
Celltrion Pharm vs. Solution Advanced Technology | Celltrion Pharm vs. Busan Industrial Co | Celltrion Pharm vs. Busan Ind | Celltrion Pharm vs. Finebesteel |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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