Correlation Between Multi Retail and Blender Financial
Can any of the company-specific risk be diversified away by investing in both Multi Retail 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 Multi Retail and Blender Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Multi Retail Group and Blender Financial Technologies, you can compare the effects of market volatilities on Multi Retail 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 Multi Retail with a short position of Blender Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Multi Retail and Blender Financial.
Diversification Opportunities for Multi Retail and Blender Financial
0.76 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Multi and Blender is 0.76. Overlapping area represents the amount of risk that can be diversified away by holding Multi Retail Group and Blender Financial Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Blender Financial and Multi Retail 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 Multi Retail Group 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 Multi Retail i.e., Multi Retail and Blender Financial go up and down completely randomly.
Pair Corralation between Multi Retail and Blender Financial
Assuming the 90 days trading horizon Multi Retail Group is expected to generate 0.82 times more return on investment than Blender Financial. However, Multi Retail Group is 1.22 times less risky than Blender Financial. It trades about 0.12 of its potential returns per unit of risk. Blender Financial Technologies is currently generating about -0.01 per unit of risk. If you would invest 113,500 in Multi Retail Group on December 30, 2024 and sell it today you would earn a total of 15,800 from holding Multi Retail Group or generate 13.92% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Multi Retail Group vs. Blender Financial Technologies
Performance |
Timeline |
Multi Retail Group |
Blender Financial |
Multi Retail and Blender Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Multi Retail and Blender Financial
The main advantage of trading using opposite Multi Retail and Blender Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Multi Retail 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.Multi Retail vs. Magic Software Enterprises | Multi Retail vs. YH Dimri Construction | Multi Retail vs. One Software Technologies | Multi Retail vs. G Willi Food International |
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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 Balance Of Power module to check stock momentum by analyzing Balance Of Power indicator and other technical ratios.
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