Correlation Between Gunkul Engineering and Kingsmen CMTI
Can any of the company-specific risk be diversified away by investing in both Gunkul Engineering and Kingsmen CMTI 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 Gunkul Engineering and Kingsmen CMTI into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Gunkul Engineering Public and Kingsmen CMTI Public, you can compare the effects of market volatilities on Gunkul Engineering and Kingsmen CMTI 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 Gunkul Engineering with a short position of Kingsmen CMTI. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gunkul Engineering and Kingsmen CMTI.
Diversification Opportunities for Gunkul Engineering and Kingsmen CMTI
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Gunkul and Kingsmen is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding Gunkul Engineering Public and Kingsmen CMTI Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kingsmen CMTI Public and Gunkul Engineering 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 Gunkul Engineering Public are associated (or correlated) with Kingsmen CMTI. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kingsmen CMTI Public has no effect on the direction of Gunkul Engineering i.e., Gunkul Engineering and Kingsmen CMTI go up and down completely randomly.
Pair Corralation between Gunkul Engineering and Kingsmen CMTI
Assuming the 90 days trading horizon Gunkul Engineering Public is expected to under-perform the Kingsmen CMTI. But the stock apears to be less risky and, when comparing its historical volatility, Gunkul Engineering Public is 28.8 times less risky than Kingsmen CMTI. The stock trades about -0.01 of its potential returns per unit of risk. The Kingsmen CMTI Public is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 97.00 in Kingsmen CMTI Public on September 14, 2024 and sell it today you would earn a total of 22.00 from holding Kingsmen CMTI Public or generate 22.68% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 99.62% |
Values | Daily Returns |
Gunkul Engineering Public vs. Kingsmen CMTI Public
Performance |
Timeline |
Gunkul Engineering Public |
Kingsmen CMTI Public |
Gunkul Engineering and Kingsmen CMTI Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Gunkul Engineering and Kingsmen CMTI
The main advantage of trading using opposite Gunkul Engineering and Kingsmen CMTI positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gunkul Engineering position performs unexpectedly, Kingsmen CMTI 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 Kingsmen CMTI will offset losses from the drop in Kingsmen CMTI's long position.Gunkul Engineering vs. Gulf Energy Development | Gunkul Engineering vs. Energy Absolute Public | Gunkul Engineering vs. Banpu Public | Gunkul Engineering vs. WHA Public |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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