Correlation Between KPX Green and Dongbu Insurance
Can any of the company-specific risk be diversified away by investing in both KPX Green 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 KPX Green and Dongbu Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between KPX Green Chemical and Dongbu Insurance Co, you can compare the effects of market volatilities on KPX Green 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 KPX Green with a short position of Dongbu Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of KPX Green and Dongbu Insurance.
Diversification Opportunities for KPX Green and Dongbu Insurance
0.53 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between KPX and Dongbu is 0.53. Overlapping area represents the amount of risk that can be diversified away by holding KPX Green Chemical and Dongbu Insurance Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dongbu Insurance and KPX Green 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 KPX Green Chemical 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 KPX Green i.e., KPX Green and Dongbu Insurance go up and down completely randomly.
Pair Corralation between KPX Green and Dongbu Insurance
Assuming the 90 days trading horizon KPX Green Chemical is expected to generate 1.83 times more return on investment than Dongbu Insurance. However, KPX Green is 1.83 times more volatile than Dongbu Insurance Co. It trades about 0.26 of its potential returns per unit of risk. Dongbu Insurance Co is currently generating about -0.09 per unit of risk. If you would invest 485,000 in KPX Green Chemical on September 22, 2024 and sell it today you would earn a total of 155,000 from holding KPX Green Chemical or generate 31.96% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
KPX Green Chemical vs. Dongbu Insurance Co
Performance |
Timeline |
KPX Green Chemical |
Dongbu Insurance |
KPX Green and Dongbu Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with KPX Green and Dongbu Insurance
The main advantage of trading using opposite KPX Green and Dongbu Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if KPX Green 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.KPX Green vs. AptaBio Therapeutics | KPX Green vs. Wonbang Tech Co | KPX Green vs. Busan Industrial Co | KPX Green vs. Busan Ind |
Dongbu Insurance vs. Seoyon Topmetal Co | Dongbu Insurance vs. Daejung Chemicals Metals | Dongbu Insurance vs. Duksan Hi Metal | Dongbu Insurance vs. Mobileleader CoLtd |
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 Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
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