Correlation Between Lotte Energy and Korean Reinsurance
Can any of the company-specific risk be diversified away by investing in both Lotte 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 Lotte 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 Lotte Energy Materials and Korean Reinsurance Co, you can compare the effects of market volatilities on Lotte 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 Lotte Energy with a short position of Korean Reinsurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lotte Energy and Korean Reinsurance.
Diversification Opportunities for Lotte Energy and Korean Reinsurance
-0.79 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Lotte and Korean is -0.79. Overlapping area represents the amount of risk that can be diversified away by holding Lotte Energy Materials and Korean Reinsurance Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Korean Reinsurance and Lotte 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 Lotte Energy Materials 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 Lotte Energy i.e., Lotte Energy and Korean Reinsurance go up and down completely randomly.
Pair Corralation between Lotte Energy and Korean Reinsurance
Assuming the 90 days trading horizon Lotte Energy Materials is expected to under-perform the Korean Reinsurance. In addition to that, Lotte Energy is 1.68 times more volatile than Korean Reinsurance Co. It trades about -0.25 of its total potential returns per unit of risk. Korean Reinsurance Co is currently generating about 0.15 per unit of volatility. If you would invest 797,000 in Korean Reinsurance Co on October 17, 2024 and sell it today you would earn a total of 37,000 from holding Korean Reinsurance Co or generate 4.64% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Lotte Energy Materials vs. Korean Reinsurance Co
Performance |
| Timeline |
| Lotte Energy Materials |
| Korean Reinsurance |
Lotte Energy and Korean Reinsurance Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Lotte Energy and Korean Reinsurance
The main advantage of trading using opposite Lotte Energy and Korean Reinsurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lotte 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.| Lotte Energy vs. Cloud Air CoLtd | Lotte Energy vs. J Steel Co | Lotte Energy vs. Korea Air Svc | Lotte Energy vs. Dong A Steel Technology |
| Korean Reinsurance vs. Hyundai Engineering Plastics | Korean Reinsurance vs. MEDIANA CoLtd | Korean Reinsurance vs. Digital Multimedia Technology | Korean Reinsurance vs. Lotte Energy Materials |
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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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