Correlation Between SH Energy and Korean Reinsurance
Can any of the company-specific risk be diversified away by investing in both SH Energy and Korean Reinsurance 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 SH Energy and Korean Reinsurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SH Energy Chemical and Korean Reinsurance Co, you can compare the effects of market volatilities on SH Energy and Korean Reinsurance 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 SH Energy with a short position of Korean Reinsurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of SH Energy and Korean Reinsurance.
Diversification Opportunities for SH Energy and Korean Reinsurance
0.08 | Correlation Coefficient |
Significant diversification
The 3 months correlation between 002360 and Korean is 0.08. Overlapping area represents the amount of risk that can be diversified away by holding SH Energy Chemical and Korean Reinsurance Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Korean Reinsurance and SH Energy 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 SH Energy Chemical are associated (or correlated) with Korean Reinsurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Korean Reinsurance has no effect on the direction of SH Energy i.e., SH Energy and Korean Reinsurance go up and down completely randomly.
Pair Corralation between SH Energy and Korean Reinsurance
Assuming the 90 days trading horizon SH Energy is expected to generate 1.68 times less return on investment than Korean Reinsurance. In addition to that, SH Energy is 2.06 times more volatile than Korean Reinsurance Co. It trades about 0.03 of its total potential returns per unit of risk. Korean Reinsurance Co is currently generating about 0.11 per unit of volatility. If you would invest 720,833 in Korean Reinsurance Co on August 28, 2024 and sell it today you would earn a total of 71,167 from holding Korean Reinsurance Co or generate 9.87% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
SH Energy Chemical vs. Korean Reinsurance Co
Performance |
| Timeline |
| SH Energy Chemical |
| Korean Reinsurance |
SH Energy and Korean Reinsurance Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with SH Energy and Korean Reinsurance
The main advantage of trading using opposite SH Energy and Korean Reinsurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SH Energy position performs unexpectedly, Korean Reinsurance 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 Korean Reinsurance will offset losses from the drop in Korean Reinsurance's long position.| SH Energy vs. AptaBio Therapeutics | SH Energy vs. Daewoo SBI SPAC | SH Energy vs. Dream Security co | SH Energy vs. Microfriend |
| Korean Reinsurance vs. AptaBio Therapeutics | Korean Reinsurance vs. Daewoo SBI SPAC | Korean Reinsurance vs. Dream Security co | Korean Reinsurance vs. Microfriend |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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