Correlation Between Samsung Life and Neungyule Education
Can any of the company-specific risk be diversified away by investing in both Samsung Life and Neungyule Education 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 Neungyule Education 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 Neungyule Education, you can compare the effects of market volatilities on Samsung Life and Neungyule Education 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 Neungyule Education. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Life and Neungyule Education.
Diversification Opportunities for Samsung Life and Neungyule Education
-0.18 | Correlation Coefficient |
Good diversification
The 3 months correlation between Samsung and Neungyule is -0.18. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Life Insurance and Neungyule Education in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Neungyule Education 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 Neungyule Education. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Neungyule Education has no effect on the direction of Samsung Life i.e., Samsung Life and Neungyule Education go up and down completely randomly.
Pair Corralation between Samsung Life and Neungyule Education
Assuming the 90 days trading horizon Samsung Life is expected to generate 2.3 times less return on investment than Neungyule Education. But when comparing it to its historical volatility, Samsung Life Insurance is 1.39 times less risky than Neungyule Education. It trades about 0.04 of its potential returns per unit of risk. Neungyule Education is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 350,500 in Neungyule Education on September 13, 2024 and sell it today you would earn a total of 36,500 from holding Neungyule Education or generate 10.41% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Samsung Life Insurance vs. Neungyule Education
Performance |
Timeline |
Samsung Life Insurance |
Neungyule Education |
Samsung Life and Neungyule Education Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samsung Life and Neungyule Education
The main advantage of trading using opposite Samsung Life and Neungyule Education positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Life position performs unexpectedly, Neungyule Education 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 Neungyule Education will offset losses from the drop in Neungyule Education's long position.Samsung Life vs. PI Advanced Materials | Samsung Life vs. BooKook Steel Co | Samsung Life vs. Hyosung Advanced Materials | Samsung Life vs. Fine Besteel Co |
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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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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