Correlation Between Desktop Metal and Nano Dimension
Can any of the company-specific risk be diversified away by investing in both Desktop Metal and Nano Dimension 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 Desktop Metal and Nano Dimension into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Desktop Metal and Nano Dimension, you can compare the effects of market volatilities on Desktop Metal and Nano Dimension 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 Desktop Metal with a short position of Nano Dimension. Check out your portfolio center. Please also check ongoing floating volatility patterns of Desktop Metal and Nano Dimension.
Diversification Opportunities for Desktop Metal and Nano Dimension
0.58 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Desktop and Nano is 0.58. Overlapping area represents the amount of risk that can be diversified away by holding Desktop Metal and Nano Dimension in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nano Dimension and Desktop Metal 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 Desktop Metal are associated (or correlated) with Nano Dimension. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nano Dimension has no effect on the direction of Desktop Metal i.e., Desktop Metal and Nano Dimension go up and down completely randomly.
Pair Corralation between Desktop Metal and Nano Dimension
Allowing for the 90-day total investment horizon Desktop Metal is expected to generate 29.53 times less return on investment than Nano Dimension. In addition to that, Desktop Metal is 1.1 times more volatile than Nano Dimension. It trades about 0.0 of its total potential returns per unit of risk. Nano Dimension is currently generating about 0.02 per unit of volatility. If you would invest 214.00 in Nano Dimension on September 3, 2024 and sell it today you would earn a total of 2.00 from holding Nano Dimension or generate 0.93% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Desktop Metal vs. Nano Dimension
Performance |
Timeline |
Desktop Metal |
Nano Dimension |
Desktop Metal and Nano Dimension Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Desktop Metal and Nano Dimension
The main advantage of trading using opposite Desktop Metal and Nano Dimension positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Desktop Metal position performs unexpectedly, Nano Dimension 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 Nano Dimension will offset losses from the drop in Nano Dimension's long position.Desktop Metal vs. Nano Dimension | Desktop Metal vs. 3D Systems | Desktop Metal vs. Markforged Holding Corp | Desktop Metal vs. Stratasys |
Nano Dimension vs. Desktop Metal | Nano Dimension vs. 3D Systems | Nano Dimension vs. Markforged Holding Corp | Nano Dimension vs. Stratasys |
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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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