Correlation Between Al Bad and Rotshtein
Can any of the company-specific risk be diversified away by investing in both Al Bad and Rotshtein 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 Al Bad and Rotshtein into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Al Bad Massuot Yitzhak and Rotshtein, you can compare the effects of market volatilities on Al Bad and Rotshtein 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 Al Bad with a short position of Rotshtein. Check out your portfolio center. Please also check ongoing floating volatility patterns of Al Bad and Rotshtein.
Diversification Opportunities for Al Bad and Rotshtein
Almost no diversification
The 3 months correlation between ALBA and Rotshtein is 0.91. Overlapping area represents the amount of risk that can be diversified away by holding Al Bad Massuot Yitzhak and Rotshtein in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Rotshtein and Al Bad 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 Al Bad Massuot Yitzhak are associated (or correlated) with Rotshtein. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Rotshtein has no effect on the direction of Al Bad i.e., Al Bad and Rotshtein go up and down completely randomly.
Pair Corralation between Al Bad and Rotshtein
Assuming the 90 days trading horizon Al Bad is expected to generate 1.45 times less return on investment than Rotshtein. But when comparing it to its historical volatility, Al Bad Massuot Yitzhak is 1.41 times less risky than Rotshtein. It trades about 0.08 of its potential returns per unit of risk. Rotshtein is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 580,926 in Rotshtein on September 28, 2024 and sell it today you would earn a total of 17,874 from holding Rotshtein or generate 3.08% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Al Bad Massuot Yitzhak vs. Rotshtein
Performance |
Timeline |
Al Bad Massuot |
Rotshtein |
Al Bad and Rotshtein Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Al Bad and Rotshtein
The main advantage of trading using opposite Al Bad and Rotshtein positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Al Bad position performs unexpectedly, Rotshtein 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 Rotshtein will offset losses from the drop in Rotshtein's long position.Al Bad vs. Aryt Industries | Al Bad vs. Kerur Holdings | Al Bad vs. Scope Metals Group | Al Bad vs. Delek Automotive Systems |
Rotshtein vs. Azrieli Group | Rotshtein vs. Delek Group | Rotshtein vs. Shikun Binui | Rotshtein vs. Israel Discount Bank |
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 Earnings Calls module to check upcoming earnings announcements updated hourly across public exchanges.
Other Complementary Tools
Portfolio Manager State of the art Portfolio Manager to monitor and improve performance of your invested capital | |
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
Portfolio Holdings Check your current holdings and cash postion to detemine if your portfolio needs rebalancing | |
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
Global Markets Map Get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes |