Correlation Between Shikun Binui and Hamama
Can any of the company-specific risk be diversified away by investing in both Shikun Binui and Hamama 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 Hamama into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Shikun Binui and Hamama, you can compare the effects of market volatilities on Shikun Binui and Hamama 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 Hamama. Check out your portfolio center. Please also check ongoing floating volatility patterns of Shikun Binui and Hamama.
Diversification Opportunities for Shikun Binui and Hamama
-0.69 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Shikun and Hamama is -0.69. Overlapping area represents the amount of risk that can be diversified away by holding Shikun Binui and Hamama in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hamama 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 Hamama. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hamama has no effect on the direction of Shikun Binui i.e., Shikun Binui and Hamama go up and down completely randomly.
Pair Corralation between Shikun Binui and Hamama
Assuming the 90 days trading horizon Shikun Binui is expected to generate 1.28 times more return on investment than Hamama. However, Shikun Binui is 1.28 times more volatile than Hamama. It trades about 0.3 of its potential returns per unit of risk. Hamama is currently generating about -0.08 per unit of risk. If you would invest 89,810 in Shikun Binui on September 29, 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 Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Shikun Binui vs. Hamama
Performance |
Timeline |
Shikun Binui |
Hamama |
Shikun Binui and Hamama Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Shikun Binui and Hamama
The main advantage of trading using opposite Shikun Binui and Hamama positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Shikun Binui position performs unexpectedly, Hamama 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 Hamama will offset losses from the drop in Hamama's long position.The idea behind Shikun Binui and Hamama 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.Hamama vs. ICL Israel Chemicals | Hamama vs. Victory Supermarket Chain | Hamama vs. Teuza A Fairchild | Hamama vs. Batm Advanced Communications |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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