Correlation Between B Communications and Blender Financial
Can any of the company-specific risk be diversified away by investing in both B Communications and Blender Financial 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 B Communications and Blender Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between B Communications and Blender Financial Technologies, you can compare the effects of market volatilities on B Communications and Blender Financial 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 B Communications with a short position of Blender Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of B Communications and Blender Financial.
Diversification Opportunities for B Communications and Blender Financial
0.56 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between BCOM and Blender is 0.56. Overlapping area represents the amount of risk that can be diversified away by holding B Communications and Blender Financial Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Blender Financial and B Communications 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 B Communications are associated (or correlated) with Blender Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Blender Financial has no effect on the direction of B Communications i.e., B Communications and Blender Financial go up and down completely randomly.
Pair Corralation between B Communications and Blender Financial
Assuming the 90 days trading horizon B Communications is expected to generate 6.23 times more return on investment than Blender Financial. However, B Communications is 6.23 times more volatile than Blender Financial Technologies. It trades about 0.16 of its potential returns per unit of risk. Blender Financial Technologies is currently generating about -0.26 per unit of risk. If you would invest 188,000 in B Communications on November 27, 2024 and sell it today you would earn a total of 8,200 from holding B Communications or generate 4.36% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
B Communications vs. Blender Financial Technologies
Performance |
Timeline |
B Communications |
Blender Financial |
B Communications and Blender Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with B Communications and Blender Financial
The main advantage of trading using opposite B Communications and Blender Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if B Communications position performs unexpectedly, Blender Financial 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 Blender Financial will offset losses from the drop in Blender Financial's long position.B Communications vs. Bezeq Israeli Telecommunication | B Communications vs. Partner | B Communications vs. Cellcom Israel | B Communications vs. Tower Semiconductor |
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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 Valuation module to check real value of public entities based on technical and fundamental data.
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