Correlation Between Koryo Credit and Keyang Electric
Can any of the company-specific risk be diversified away by investing in both Koryo Credit and Keyang Electric 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 Koryo Credit and Keyang Electric into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Koryo Credit Information and Keyang Electric Machinery, you can compare the effects of market volatilities on Koryo Credit and Keyang Electric 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 Koryo Credit with a short position of Keyang Electric. Check out your portfolio center. Please also check ongoing floating volatility patterns of Koryo Credit and Keyang Electric.
Diversification Opportunities for Koryo Credit and Keyang Electric
0.16 | Correlation Coefficient |
Average diversification
The 3 months correlation between Koryo and Keyang is 0.16. Overlapping area represents the amount of risk that can be diversified away by holding Koryo Credit Information and Keyang Electric Machinery in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Keyang Electric Machinery and Koryo Credit 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 Koryo Credit Information are associated (or correlated) with Keyang Electric. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Keyang Electric Machinery has no effect on the direction of Koryo Credit i.e., Koryo Credit and Keyang Electric go up and down completely randomly.
Pair Corralation between Koryo Credit and Keyang Electric
Assuming the 90 days trading horizon Koryo Credit Information is expected to generate 0.62 times more return on investment than Keyang Electric. However, Koryo Credit Information is 1.61 times less risky than Keyang Electric. It trades about 0.02 of its potential returns per unit of risk. Keyang Electric Machinery is currently generating about -0.03 per unit of risk. If you would invest 943,069 in Koryo Credit Information on October 11, 2024 and sell it today you would earn a total of 59,931 from holding Koryo Credit Information or generate 6.35% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Koryo Credit Information vs. Keyang Electric Machinery
Performance |
Timeline |
Koryo Credit Information |
Keyang Electric Machinery |
Koryo Credit and Keyang Electric Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Koryo Credit and Keyang Electric
The main advantage of trading using opposite Koryo Credit and Keyang Electric positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Koryo Credit position performs unexpectedly, Keyang Electric 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 Keyang Electric will offset losses from the drop in Keyang Electric's long position.Koryo Credit vs. Sungdo Engineering Construction | Koryo Credit vs. Heungkuk Metaltech CoLtd | Koryo Credit vs. Genie Music | Koryo Credit vs. Seohee 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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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