Correlation Between SatixFy Communications and Desktop Metal
Can any of the company-specific risk be diversified away by investing in both SatixFy Communications and Desktop Metal 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 SatixFy Communications and Desktop Metal into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SatixFy Communications and Desktop Metal, you can compare the effects of market volatilities on SatixFy Communications and Desktop Metal 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 SatixFy Communications with a short position of Desktop Metal. Check out your portfolio center. Please also check ongoing floating volatility patterns of SatixFy Communications and Desktop Metal.
Diversification Opportunities for SatixFy Communications and Desktop Metal
-0.47 | Correlation Coefficient |
Very good diversification
The 3 months correlation between SatixFy and Desktop is -0.47. Overlapping area represents the amount of risk that can be diversified away by holding SatixFy Communications and Desktop Metal in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Desktop Metal and SatixFy 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 SatixFy Communications are associated (or correlated) with Desktop Metal. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Desktop Metal has no effect on the direction of SatixFy Communications i.e., SatixFy Communications and Desktop Metal go up and down completely randomly.
Pair Corralation between SatixFy Communications and Desktop Metal
Given the investment horizon of 90 days SatixFy Communications is expected to generate 1.14 times more return on investment than Desktop Metal. However, SatixFy Communications is 1.14 times more volatile than Desktop Metal. It trades about -0.01 of its potential returns per unit of risk. Desktop Metal is currently generating about -0.14 per unit of risk. If you would invest 92.00 in SatixFy Communications on September 4, 2024 and sell it today you would lose (4.00) from holding SatixFy Communications or give up 4.35% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
SatixFy Communications vs. Desktop Metal
Performance |
Timeline |
SatixFy Communications |
Desktop Metal |
SatixFy Communications and Desktop Metal Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SatixFy Communications and Desktop Metal
The main advantage of trading using opposite SatixFy Communications and Desktop Metal positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SatixFy Communications position performs unexpectedly, Desktop Metal 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 Desktop Metal will offset losses from the drop in Desktop Metal's long position.SatixFy Communications vs. Desktop Metal | SatixFy Communications vs. Fabrinet | SatixFy Communications vs. Kimball Electronics | SatixFy Communications vs. Knowles Cor |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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