Correlation Between Samlip General and Kyung-In Synthetic
Can any of the company-specific risk be diversified away by investing in both Samlip General and Kyung-In Synthetic 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 Samlip General and Kyung-In Synthetic into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Samlip General Foods and Kyung In Synthetic Corp, you can compare the effects of market volatilities on Samlip General and Kyung-In Synthetic 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 Samlip General with a short position of Kyung-In Synthetic. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samlip General and Kyung-In Synthetic.
Diversification Opportunities for Samlip General and Kyung-In Synthetic
0.78 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Samlip and Kyung-In is 0.78. Overlapping area represents the amount of risk that can be diversified away by holding Samlip General Foods and Kyung In Synthetic Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kyung In Synthetic and Samlip General 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 Samlip General Foods are associated (or correlated) with Kyung-In Synthetic. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kyung In Synthetic has no effect on the direction of Samlip General i.e., Samlip General and Kyung-In Synthetic go up and down completely randomly.
Pair Corralation between Samlip General and Kyung-In Synthetic
Assuming the 90 days trading horizon Samlip General Foods is expected to generate 0.76 times more return on investment than Kyung-In Synthetic. However, Samlip General Foods is 1.31 times less risky than Kyung-In Synthetic. It trades about 0.3 of its potential returns per unit of risk. Kyung In Synthetic Corp is currently generating about -0.08 per unit of risk. If you would invest 4,553,918 in Samlip General Foods on September 30, 2024 and sell it today you would earn a total of 476,082 from holding Samlip General Foods or generate 10.45% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Samlip General Foods vs. Kyung In Synthetic Corp
Performance |
Timeline |
Samlip General Foods |
Kyung In Synthetic |
Samlip General and Kyung-In Synthetic Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samlip General and Kyung-In Synthetic
The main advantage of trading using opposite Samlip General and Kyung-In Synthetic positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samlip General position performs unexpectedly, Kyung-In Synthetic 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 Kyung-In Synthetic will offset losses from the drop in Kyung-In Synthetic's long position.Samlip General vs. Samsung Life Insurance | Samlip General vs. Korean Reinsurance Co | Samlip General vs. Nice Information Telecommunication | Samlip General vs. Nable Communications |
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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 Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
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