Correlation Between KPX Green and ENERGYMACHINERY KOREA
Can any of the company-specific risk be diversified away by investing in both KPX Green and ENERGYMACHINERY KOREA 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 ENERGYMACHINERY KOREA 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 ENERGYMACHINERY KOREA CoLtd, you can compare the effects of market volatilities on KPX Green and ENERGYMACHINERY KOREA 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 ENERGYMACHINERY KOREA. Check out your portfolio center. Please also check ongoing floating volatility patterns of KPX Green and ENERGYMACHINERY KOREA.
Diversification Opportunities for KPX Green and ENERGYMACHINERY KOREA
0.86 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between KPX and ENERGYMACHINERY is 0.86. Overlapping area represents the amount of risk that can be diversified away by holding KPX Green Chemical and ENERGYMACHINERY KOREA CoLtd in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ENERGYMACHINERY KOREA 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 ENERGYMACHINERY KOREA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ENERGYMACHINERY KOREA has no effect on the direction of KPX Green i.e., KPX Green and ENERGYMACHINERY KOREA go up and down completely randomly.
Pair Corralation between KPX Green and ENERGYMACHINERY KOREA
Assuming the 90 days trading horizon KPX Green Chemical is expected to generate 1.26 times more return on investment than ENERGYMACHINERY KOREA. However, KPX Green is 1.26 times more volatile than ENERGYMACHINERY KOREA CoLtd. It trades about 0.07 of its potential returns per unit of risk. ENERGYMACHINERY KOREA CoLtd is currently generating about 0.03 per unit of risk. If you would invest 613,813 in KPX Green Chemical on October 14, 2024 and sell it today you would earn a total of 84,187 from holding KPX Green Chemical or generate 13.72% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
KPX Green Chemical vs. ENERGYMACHINERY KOREA CoLtd
Performance |
| Timeline |
| KPX Green Chemical |
| ENERGYMACHINERY KOREA |
KPX Green and ENERGYMACHINERY KOREA Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with KPX Green and ENERGYMACHINERY KOREA
The main advantage of trading using opposite KPX Green and ENERGYMACHINERY KOREA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if KPX Green position performs unexpectedly, ENERGYMACHINERY KOREA 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 ENERGYMACHINERY KOREA will offset losses from the drop in ENERGYMACHINERY KOREA's long position.| KPX Green vs. CKH Food Health | KPX Green vs. Keyang Electric Machinery | KPX Green vs. Nam Hwa Construction | KPX Green vs. Hanshin Construction Co |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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