Correlation Between SCI Information and Samsung Fire
Can any of the company-specific risk be diversified away by investing in both SCI Information and Samsung Fire 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 SCI Information and Samsung Fire into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SCI Information Service and Samsung Fire Marine, you can compare the effects of market volatilities on SCI Information and Samsung Fire 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 SCI Information with a short position of Samsung Fire. Check out your portfolio center. Please also check ongoing floating volatility patterns of SCI Information and Samsung Fire.
Diversification Opportunities for SCI Information and Samsung Fire
-0.6 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between SCI and Samsung is -0.6. Overlapping area represents the amount of risk that can be diversified away by holding SCI Information Service and Samsung Fire Marine in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Samsung Fire Marine and SCI Information 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 SCI Information Service are associated (or correlated) with Samsung Fire. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Samsung Fire Marine has no effect on the direction of SCI Information i.e., SCI Information and Samsung Fire go up and down completely randomly.
Pair Corralation between SCI Information and Samsung Fire
Assuming the 90 days trading horizon SCI Information Service is expected to generate 1.38 times more return on investment than Samsung Fire. However, SCI Information is 1.38 times more volatile than Samsung Fire Marine. It trades about 0.3 of its potential returns per unit of risk. Samsung Fire Marine is currently generating about -0.04 per unit of risk. If you would invest 212,000 in SCI Information Service on October 11, 2024 and sell it today you would earn a total of 25,500 from holding SCI Information Service or generate 12.03% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
SCI Information Service vs. Samsung Fire Marine
Performance |
Timeline |
SCI Information Service |
Samsung Fire Marine |
SCI Information and Samsung Fire Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SCI Information and Samsung Fire
The main advantage of trading using opposite SCI Information and Samsung Fire positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SCI Information position performs unexpectedly, Samsung Fire 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 Fire will offset losses from the drop in Samsung Fire's long position.SCI Information vs. Seoyon Topmetal Co | SCI Information vs. DB Insurance Co | SCI Information vs. DRB Industrial Co | SCI Information vs. Jb Financial |
Samsung Fire vs. Camus Engineering Construction | Samsung Fire vs. SCI Information Service | Samsung Fire vs. BGF Retail Co | Samsung Fire vs. Korean Drug 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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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