Correlation Between Bet Shemesh and Kamada
Can any of the company-specific risk be diversified away by investing in both Bet Shemesh and Kamada 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 Bet Shemesh and Kamada into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bet Shemesh Engines and Kamada, you can compare the effects of market volatilities on Bet Shemesh and Kamada 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 Bet Shemesh with a short position of Kamada. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bet Shemesh and Kamada.
Diversification Opportunities for Bet Shemesh and Kamada
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Bet and Kamada is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding Bet Shemesh Engines and Kamada in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kamada and Bet Shemesh 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 Bet Shemesh Engines are associated (or correlated) with Kamada. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kamada has no effect on the direction of Bet Shemesh i.e., Bet Shemesh and Kamada go up and down completely randomly.
Pair Corralation between Bet Shemesh and Kamada
Assuming the 90 days trading horizon Bet Shemesh Engines is expected to generate 2.01 times more return on investment than Kamada. However, Bet Shemesh is 2.01 times more volatile than Kamada. It trades about 0.15 of its potential returns per unit of risk. Kamada is currently generating about 0.07 per unit of risk. If you would invest 2,347,000 in Bet Shemesh Engines on September 15, 2024 and sell it today you would earn a total of 532,000 from holding Bet Shemesh Engines or generate 22.67% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Bet Shemesh Engines vs. Kamada
Performance |
Timeline |
Bet Shemesh Engines |
Kamada |
Bet Shemesh and Kamada Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bet Shemesh and Kamada
The main advantage of trading using opposite Bet Shemesh and Kamada positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bet Shemesh position performs unexpectedly, Kamada 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 Kamada will offset losses from the drop in Kamada's long position.Bet Shemesh vs. Danel | Bet Shemesh vs. Hilan | Bet Shemesh vs. Fattal 1998 Holdings | Bet Shemesh vs. Elbit Systems |
Kamada vs. Bezeq Israeli Telecommunication | Kamada vs. B Communications | Kamada vs. Photomyne | Kamada vs. M Yochananof and |
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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
Other Complementary Tools
Options Analysis Analyze and evaluate options and option chains as a potential hedge for your portfolios | |
Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets | |
ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm |