Correlation Between Jeong Moon and Koryo Credit
Can any of the company-specific risk be diversified away by investing in both Jeong Moon and Koryo Credit 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 Jeong Moon and Koryo Credit into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Jeong Moon Information and Koryo Credit Information, you can compare the effects of market volatilities on Jeong Moon and Koryo Credit 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 Jeong Moon with a short position of Koryo Credit. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jeong Moon and Koryo Credit.
Diversification Opportunities for Jeong Moon and Koryo Credit
-0.63 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Jeong and Koryo is -0.63. Overlapping area represents the amount of risk that can be diversified away by holding Jeong Moon Information and Koryo Credit Information in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Koryo Credit Information and Jeong Moon 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 Jeong Moon Information are associated (or correlated) with Koryo Credit. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Koryo Credit Information has no effect on the direction of Jeong Moon i.e., Jeong Moon and Koryo Credit go up and down completely randomly.
Pair Corralation between Jeong Moon and Koryo Credit
Assuming the 90 days trading horizon Jeong Moon Information is expected to under-perform the Koryo Credit. In addition to that, Jeong Moon is 2.44 times more volatile than Koryo Credit Information. It trades about -0.1 of its total potential returns per unit of risk. Koryo Credit Information is currently generating about 0.09 per unit of volatility. If you would invest 968,019 in Koryo Credit Information on October 6, 2024 and sell it today you would earn a total of 36,981 from holding Koryo Credit Information or generate 3.82% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Jeong Moon Information vs. Koryo Credit Information
Performance |
Timeline |
Jeong Moon Information |
Koryo Credit Information |
Jeong Moon and Koryo Credit Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jeong Moon and Koryo Credit
The main advantage of trading using opposite Jeong Moon and Koryo Credit positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jeong Moon position performs unexpectedly, Koryo Credit 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 Koryo Credit will offset losses from the drop in Koryo Credit's long position.Jeong Moon vs. Netmarble Games Corp | Jeong Moon vs. ABCO Electronics Co | Jeong Moon vs. Kakao Games Corp | Jeong Moon vs. PJ Electronics Co |
Koryo Credit vs. ABOV Semiconductor Co | Koryo Credit vs. ITM Semiconductor Co | Koryo Credit vs. Top Material Co | Koryo Credit vs. LS 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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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