Correlation Between Moshi Moshi and Ekarat Engineering
Can any of the company-specific risk be diversified away by investing in both Moshi Moshi 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 Moshi Moshi and Ekarat Engineering into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Moshi Moshi Retail and Ekarat Engineering Public, you can compare the effects of market volatilities on Moshi Moshi 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 Moshi Moshi with a short position of Ekarat Engineering. Check out your portfolio center. Please also check ongoing floating volatility patterns of Moshi Moshi and Ekarat Engineering.
Diversification Opportunities for Moshi Moshi and Ekarat Engineering
-0.05 | Correlation Coefficient |
Good diversification
The 3 months correlation between Moshi and Ekarat is -0.05. Overlapping area represents the amount of risk that can be diversified away by holding Moshi Moshi Retail 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 Moshi Moshi 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 Moshi Moshi Retail 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 Moshi Moshi i.e., Moshi Moshi and Ekarat Engineering go up and down completely randomly.
Pair Corralation between Moshi Moshi and Ekarat Engineering
Assuming the 90 days trading horizon Moshi Moshi Retail is expected to generate 1.0 times more return on investment than Ekarat Engineering. However, Moshi Moshi is 1.0 times more volatile than Ekarat Engineering Public. It trades about 0.04 of its potential returns per unit of risk. Ekarat Engineering Public is currently generating about 0.04 per unit of risk. If you would invest 3,472 in Moshi Moshi Retail on September 25, 2024 and sell it today you would earn a total of 928.00 from holding Moshi Moshi Retail or generate 26.73% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Moshi Moshi Retail vs. Ekarat Engineering Public
Performance |
Timeline |
Moshi Moshi Retail |
Ekarat Engineering Public |
Moshi Moshi and Ekarat Engineering Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Moshi Moshi and Ekarat Engineering
The main advantage of trading using opposite Moshi Moshi and Ekarat Engineering positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Moshi Moshi 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.Moshi Moshi vs. Central Retail | Moshi Moshi vs. Thai Life Insurance | Moshi Moshi vs. Thai Rung Union | Moshi Moshi vs. Samchai Steel Industries |
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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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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