Correlation Between Spuntech and Blender Financial
Can any of the company-specific risk be diversified away by investing in both Spuntech 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 Spuntech and Blender Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Spuntech and Blender Financial Technologies, you can compare the effects of market volatilities on Spuntech 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 Spuntech with a short position of Blender Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Spuntech and Blender Financial.
Diversification Opportunities for Spuntech and Blender Financial
-0.42 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Spuntech and Blender is -0.42. Overlapping area represents the amount of risk that can be diversified away by holding Spuntech and Blender Financial Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Blender Financial and Spuntech 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 Spuntech 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 Spuntech i.e., Spuntech and Blender Financial go up and down completely randomly.
Pair Corralation between Spuntech and Blender Financial
Assuming the 90 days trading horizon Spuntech is expected to generate 0.85 times more return on investment than Blender Financial. However, Spuntech is 1.17 times less risky than Blender Financial. It trades about 0.37 of its potential returns per unit of risk. Blender Financial Technologies is currently generating about -0.28 per unit of risk. If you would invest 43,720 in Spuntech on August 25, 2024 and sell it today you would earn a total of 6,780 from holding Spuntech or generate 15.51% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Spuntech vs. Blender Financial Technologies
Performance |
| Timeline |
| Spuntech |
| Blender Financial |
Spuntech and Blender Financial Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Spuntech and Blender Financial
The main advantage of trading using opposite Spuntech and Blender Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Spuntech 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.| Spuntech vs. Neto ME Holdings | Spuntech vs. Aryt Industries | Spuntech vs. Kerur Holdings | Spuntech vs. Scope Metals Group |
| Blender Financial vs. Teuza A Fairchild | Blender Financial vs. Sure Tech Investments LP | Blender Financial vs. YD More Investments | Blender Financial vs. Meitav Trade Inv |
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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