Correlation Between Shikun Binui and El Mor
Can any of the company-specific risk be diversified away by investing in both Shikun Binui and El Mor 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 Shikun Binui and El Mor into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Shikun Binui and El Mor Electric Installation, you can compare the effects of market volatilities on Shikun Binui and El Mor 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 Shikun Binui with a short position of El Mor. Check out your portfolio center. Please also check ongoing floating volatility patterns of Shikun Binui and El Mor.
Diversification Opportunities for Shikun Binui and El Mor
0.92 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Shikun and ELMR is 0.92. Overlapping area represents the amount of risk that can be diversified away by holding Shikun Binui and El Mor Electric Installation in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on El Mor Electric and Shikun Binui 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 Shikun Binui are associated (or correlated) with El Mor. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of El Mor Electric has no effect on the direction of Shikun Binui i.e., Shikun Binui and El Mor go up and down completely randomly.
Pair Corralation between Shikun Binui and El Mor
Assuming the 90 days trading horizon Shikun Binui is expected to generate 1.12 times more return on investment than El Mor. However, Shikun Binui is 1.12 times more volatile than El Mor Electric Installation. It trades about 0.3 of its potential returns per unit of risk. El Mor Electric Installation is currently generating about 0.29 per unit of risk. If you would invest 89,810 in Shikun Binui on September 27, 2024 and sell it today you would earn a total of 42,690 from holding Shikun Binui or generate 47.53% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 97.83% |
Values | Daily Returns |
Shikun Binui vs. El Mor Electric Installation
Performance |
Timeline |
Shikun Binui |
El Mor Electric |
Shikun Binui and El Mor Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Shikun Binui and El Mor
The main advantage of trading using opposite Shikun Binui and El Mor positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Shikun Binui position performs unexpectedly, El Mor 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 El Mor will offset losses from the drop in El Mor's long position.The idea behind Shikun Binui and El Mor Electric Installation pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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