Correlation Between Gunkul Engineering and TRC Construction
Can any of the company-specific risk be diversified away by investing in both Gunkul Engineering and TRC Construction 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 TRC Construction 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 TRC Construction Public, you can compare the effects of market volatilities on Gunkul Engineering and TRC Construction 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 TRC Construction. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gunkul Engineering and TRC Construction.
Diversification Opportunities for Gunkul Engineering and TRC Construction
0.92 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Gunkul and TRC is 0.92. Overlapping area represents the amount of risk that can be diversified away by holding Gunkul Engineering Public and TRC Construction Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on TRC Construction 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 TRC Construction. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of TRC Construction Public has no effect on the direction of Gunkul Engineering i.e., Gunkul Engineering and TRC Construction go up and down completely randomly.
Pair Corralation between Gunkul Engineering and TRC Construction
Assuming the 90 days trading horizon Gunkul Engineering Public is expected to generate 0.3 times more return on investment than TRC Construction. However, Gunkul Engineering Public is 3.29 times less risky than TRC Construction. It trades about -0.23 of its potential returns per unit of risk. TRC Construction Public is currently generating about -0.11 per unit of risk. If you would invest 228.00 in Gunkul Engineering Public on December 30, 2024 and sell it today you would lose (68.00) from holding Gunkul Engineering Public or give up 29.82% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Gunkul Engineering Public vs. TRC Construction Public
Performance |
Timeline |
Gunkul Engineering Public |
TRC Construction Public |
Gunkul Engineering and TRC Construction Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Gunkul Engineering and TRC Construction
The main advantage of trading using opposite Gunkul Engineering and TRC Construction positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gunkul Engineering position performs unexpectedly, TRC Construction 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 TRC Construction will offset losses from the drop in TRC Construction'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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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