Correlation Between Ekarat Engineering and Eastern Power
Can any of the company-specific risk be diversified away by investing in both Ekarat Engineering and Eastern Power 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 Ekarat Engineering and Eastern Power into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ekarat Engineering Public and Eastern Power Group, you can compare the effects of market volatilities on Ekarat Engineering and Eastern Power 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 Ekarat Engineering with a short position of Eastern Power. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ekarat Engineering and Eastern Power.
Diversification Opportunities for Ekarat Engineering and Eastern Power
-0.76 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Ekarat and Eastern is -0.76. Overlapping area represents the amount of risk that can be diversified away by holding Ekarat Engineering Public and Eastern Power Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Eastern Power Group and Ekarat 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 Ekarat Engineering Public are associated (or correlated) with Eastern Power. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Eastern Power Group has no effect on the direction of Ekarat Engineering i.e., Ekarat Engineering and Eastern Power go up and down completely randomly.
Pair Corralation between Ekarat Engineering and Eastern Power
Assuming the 90 days trading horizon Ekarat Engineering Public is expected to generate 1.13 times more return on investment than Eastern Power. However, Ekarat Engineering is 1.13 times more volatile than Eastern Power Group. It trades about 0.08 of its potential returns per unit of risk. Eastern Power Group is currently generating about -0.27 per unit of risk. If you would invest 95.00 in Ekarat Engineering Public on October 20, 2024 and sell it today you would earn a total of 3.00 from holding Ekarat Engineering Public or generate 3.16% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Ekarat Engineering Public vs. Eastern Power Group
Performance |
Timeline |
Ekarat Engineering Public |
Eastern Power Group |
Ekarat Engineering and Eastern Power Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ekarat Engineering and Eastern Power
The main advantage of trading using opposite Ekarat Engineering and Eastern Power positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ekarat Engineering position performs unexpectedly, Eastern Power 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 Power will offset losses from the drop in Eastern Power's long position.Ekarat Engineering vs. Super Energy | Ekarat Engineering vs. RPCG Public | Ekarat Engineering vs. Thoresen Thai Agencies | Ekarat Engineering vs. Precious Shipping 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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