Correlation Between First International and Mivtach Shamir
Can any of the company-specific risk be diversified away by investing in both First International and Mivtach Shamir 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 First International and Mivtach Shamir into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between First International Bank and Mivtach Shamir, you can compare the effects of market volatilities on First International and Mivtach Shamir 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 First International with a short position of Mivtach Shamir. Check out your portfolio center. Please also check ongoing floating volatility patterns of First International and Mivtach Shamir.
Diversification Opportunities for First International and Mivtach Shamir
0.79 | Correlation Coefficient |
Poor diversification
The 3 months correlation between First and Mivtach is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding First International Bank and Mivtach Shamir in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mivtach Shamir and First International 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 First International Bank are associated (or correlated) with Mivtach Shamir. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mivtach Shamir has no effect on the direction of First International i.e., First International and Mivtach Shamir go up and down completely randomly.
Pair Corralation between First International and Mivtach Shamir
Assuming the 90 days trading horizon First International Bank is expected to generate 0.7 times more return on investment than Mivtach Shamir. However, First International Bank is 1.44 times less risky than Mivtach Shamir. It trades about 0.34 of its potential returns per unit of risk. Mivtach Shamir is currently generating about 0.14 per unit of risk. If you would invest 1,459,095 in First International Bank on September 16, 2024 and sell it today you would earn a total of 338,905 from holding First International Bank or generate 23.23% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
First International Bank vs. Mivtach Shamir
Performance |
Timeline |
First International Bank |
Mivtach Shamir |
First International and Mivtach Shamir Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with First International and Mivtach Shamir
The main advantage of trading using opposite First International and Mivtach Shamir positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if First International position performs unexpectedly, Mivtach Shamir 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 Mivtach Shamir will offset losses from the drop in Mivtach Shamir's long position.First International vs. Israel Discount Bank | First International vs. Mizrahi Tefahot | First International vs. Bank Leumi Le Israel | First International vs. Bank Hapoalim |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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