Correlation Between Korean Reinsurance and SNTEnergy
Can any of the company-specific risk be diversified away by investing in both Korean Reinsurance and SNTEnergy 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 Korean Reinsurance and SNTEnergy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Korean Reinsurance Co and SNTEnergy Co, you can compare the effects of market volatilities on Korean Reinsurance and SNTEnergy 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 Korean Reinsurance with a short position of SNTEnergy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Korean Reinsurance and SNTEnergy.
Diversification Opportunities for Korean Reinsurance and SNTEnergy
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Korean and SNTEnergy is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Korean Reinsurance Co and SNTEnergy Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SNTEnergy and Korean Reinsurance 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 Korean Reinsurance Co are associated (or correlated) with SNTEnergy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SNTEnergy has no effect on the direction of Korean Reinsurance i.e., Korean Reinsurance and SNTEnergy go up and down completely randomly.
Pair Corralation between Korean Reinsurance and SNTEnergy
Assuming the 90 days trading horizon Korean Reinsurance is expected to generate 2.18 times less return on investment than SNTEnergy. But when comparing it to its historical volatility, Korean Reinsurance Co is 2.68 times less risky than SNTEnergy. It trades about 0.14 of its potential returns per unit of risk. SNTEnergy Co is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 1,367,000 in SNTEnergy Co on September 3, 2024 and sell it today you would earn a total of 323,000 from holding SNTEnergy Co or generate 23.63% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Korean Reinsurance Co vs. SNTEnergy Co
Performance |
Timeline |
Korean Reinsurance |
SNTEnergy |
Korean Reinsurance and SNTEnergy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Korean Reinsurance and SNTEnergy
The main advantage of trading using opposite Korean Reinsurance and SNTEnergy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Korean Reinsurance position performs unexpectedly, SNTEnergy 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 SNTEnergy will offset losses from the drop in SNTEnergy's long position.Korean Reinsurance vs. AptaBio Therapeutics | Korean Reinsurance vs. Daewoo SBI SPAC | Korean Reinsurance vs. Dream Security co | Korean Reinsurance vs. Microfriend |
SNTEnergy vs. Daejoo Electronic Materials | SNTEnergy vs. Dongbu Insurance Co | SNTEnergy vs. Korean Reinsurance Co | SNTEnergy vs. UJU Electronics 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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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