Correlation Between City Sports and Ekarat Engineering
Can any of the company-specific risk be diversified away by investing in both City Sports and Ekarat Engineering 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 City Sports and Ekarat Engineering into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between City Sports and and Ekarat Engineering Public, you can compare the effects of market volatilities on City Sports and Ekarat Engineering 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 City Sports with a short position of Ekarat Engineering. Check out your portfolio center. Please also check ongoing floating volatility patterns of City Sports and Ekarat Engineering.
Diversification Opportunities for City Sports and Ekarat Engineering
0.09 | Correlation Coefficient |
Significant diversification
The 3 months correlation between City and Ekarat is 0.09. Overlapping area represents the amount of risk that can be diversified away by holding City Sports and and Ekarat Engineering Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ekarat Engineering Public and City Sports 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 City Sports and are associated (or correlated) with Ekarat Engineering. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ekarat Engineering Public has no effect on the direction of City Sports i.e., City Sports and Ekarat Engineering go up and down completely randomly.
Pair Corralation between City Sports and Ekarat Engineering
Assuming the 90 days trading horizon City Sports and is expected to generate 0.52 times more return on investment than Ekarat Engineering. However, City Sports and is 1.93 times less risky than Ekarat Engineering. It trades about 0.4 of its potential returns per unit of risk. Ekarat Engineering Public is currently generating about 0.02 per unit of risk. If you would invest 7,550 in City Sports and on September 13, 2024 and sell it today you would earn a total of 1,075 from holding City Sports and or generate 14.24% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
City Sports and vs. Ekarat Engineering Public
Performance |
Timeline |
City Sports |
Ekarat Engineering Public |
City Sports and Ekarat Engineering Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with City Sports and Ekarat Engineering
The main advantage of trading using opposite City Sports and Ekarat Engineering positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if City Sports position performs unexpectedly, Ekarat Engineering 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 Ekarat Engineering will offset losses from the drop in Ekarat Engineering's long position.City Sports vs. Hwa Fong Rubber | City Sports vs. AAPICO Hitech Public | City Sports vs. Haad Thip Public | City Sports vs. Italian Thai Development 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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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