Correlation Between Kingsmen CMTI and Eastern Technical
Can any of the company-specific risk be diversified away by investing in both Kingsmen CMTI and Eastern Technical 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 Kingsmen CMTI and Eastern Technical into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kingsmen CMTI Public and Eastern Technical Engineering, you can compare the effects of market volatilities on Kingsmen CMTI and Eastern Technical 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 Kingsmen CMTI with a short position of Eastern Technical. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kingsmen CMTI and Eastern Technical.
Diversification Opportunities for Kingsmen CMTI and Eastern Technical
0.81 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Kingsmen and Eastern is 0.81. Overlapping area represents the amount of risk that can be diversified away by holding Kingsmen CMTI Public and Eastern Technical Engineering in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Eastern Technical and Kingsmen CMTI 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 Kingsmen CMTI Public are associated (or correlated) with Eastern Technical. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Eastern Technical has no effect on the direction of Kingsmen CMTI i.e., Kingsmen CMTI and Eastern Technical go up and down completely randomly.
Pair Corralation between Kingsmen CMTI and Eastern Technical
Given the investment horizon of 90 days Kingsmen CMTI Public is expected to generate 1.55 times more return on investment than Eastern Technical. However, Kingsmen CMTI is 1.55 times more volatile than Eastern Technical Engineering. It trades about -0.04 of its potential returns per unit of risk. Eastern Technical Engineering is currently generating about -0.17 per unit of risk. If you would invest 131.00 in Kingsmen CMTI Public on September 15, 2024 and sell it today you would lose (13.00) from holding Kingsmen CMTI Public or give up 9.92% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Kingsmen CMTI Public vs. Eastern Technical Engineering
Performance |
Timeline |
Kingsmen CMTI Public |
Eastern Technical |
Kingsmen CMTI and Eastern Technical Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kingsmen CMTI and Eastern Technical
The main advantage of trading using opposite Kingsmen CMTI and Eastern Technical positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kingsmen CMTI position performs unexpectedly, Eastern Technical 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 Eastern Technical will offset losses from the drop in Eastern Technical's long position.Kingsmen CMTI vs. Cho Thavee Public | Kingsmen CMTI vs. G Capital Public | Kingsmen CMTI vs. Thai Ha Public | Kingsmen CMTI vs. Panjawattana Plastic 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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