Correlation Between Jeong Moon and Dongbu Insurance
Can any of the company-specific risk be diversified away by investing in both Jeong Moon and Dongbu Insurance 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 Dongbu Insurance 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 Dongbu Insurance Co, you can compare the effects of market volatilities on Jeong Moon and Dongbu Insurance 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 Dongbu Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jeong Moon and Dongbu Insurance.
Diversification Opportunities for Jeong Moon and Dongbu Insurance
0.72 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Jeong and Dongbu is 0.72. Overlapping area represents the amount of risk that can be diversified away by holding Jeong Moon Information and Dongbu Insurance Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dongbu Insurance 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 Dongbu Insurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dongbu Insurance has no effect on the direction of Jeong Moon i.e., Jeong Moon and Dongbu Insurance go up and down completely randomly.
Pair Corralation between Jeong Moon and Dongbu Insurance
Assuming the 90 days trading horizon Jeong Moon Information is expected to generate 1.53 times more return on investment than Dongbu Insurance. However, Jeong Moon is 1.53 times more volatile than Dongbu Insurance Co. It trades about 0.02 of its potential returns per unit of risk. Dongbu Insurance Co is currently generating about -0.01 per unit of risk. If you would invest 82,900 in Jeong Moon Information on October 6, 2024 and sell it today you would lose (100.00) from holding Jeong Moon Information or give up 0.12% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Jeong Moon Information vs. Dongbu Insurance Co
Performance |
Timeline |
Jeong Moon Information |
Dongbu Insurance |
Jeong Moon and Dongbu Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jeong Moon and Dongbu Insurance
The main advantage of trading using opposite Jeong Moon and Dongbu Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jeong Moon position performs unexpectedly, Dongbu Insurance 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 Dongbu Insurance will offset losses from the drop in Dongbu Insurance'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 |
Dongbu Insurance vs. Wonbang Tech Co | Dongbu Insurance vs. Daiyang Metal Co | Dongbu Insurance vs. Solution Advanced Technology | Dongbu Insurance vs. Busan Industrial 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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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