Correlation Between Samsung Life and Kyung Chang
Can any of the company-specific risk be diversified away by investing in both Samsung Life and Kyung Chang 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 Kyung Chang into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Samsung Life Insurance and Kyung Chang Industrial, you can compare the effects of market volatilities on Samsung Life and Kyung Chang 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 Kyung Chang. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Life and Kyung Chang.
Diversification Opportunities for Samsung Life and Kyung Chang
0.43 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Samsung and Kyung is 0.43. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Life Insurance and Kyung Chang Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kyung Chang Industrial 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 Insurance are associated (or correlated) with Kyung Chang. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kyung Chang Industrial has no effect on the direction of Samsung Life i.e., Samsung Life and Kyung Chang go up and down completely randomly.
Pair Corralation between Samsung Life and Kyung Chang
Assuming the 90 days trading horizon Samsung Life Insurance is expected to under-perform the Kyung Chang. In addition to that, Samsung Life is 1.56 times more volatile than Kyung Chang Industrial. It trades about -0.07 of its total potential returns per unit of risk. Kyung Chang Industrial is currently generating about -0.06 per unit of volatility. If you would invest 190,951 in Kyung Chang Industrial on December 24, 2024 and sell it today you would lose (12,351) from holding Kyung Chang Industrial or give up 6.47% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Samsung Life Insurance vs. Kyung Chang Industrial
Performance |
Timeline |
Samsung Life Insurance |
Kyung Chang Industrial |
Samsung Life and Kyung Chang Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samsung Life and Kyung Chang
The main advantage of trading using opposite Samsung Life and Kyung Chang positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Life position performs unexpectedly, Kyung Chang 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 Chang will offset losses from the drop in Kyung Chang's long position.Samsung Life vs. Daiyang Metal Co | Samsung Life vs. LG Chemicals | Samsung Life vs. Kbi Metal Co | Samsung Life vs. Tae Kyung Chemical |
Kyung Chang vs. Kyeryong Construction Industrial | Kyung Chang vs. Hyundai Green Food | Kyung Chang vs. Woorim Machinery Co | Kyung Chang vs. Foodnamoo |
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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
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