Correlation Between Markforged Holding and Super Micro
Can any of the company-specific risk be diversified away by investing in both Markforged Holding and Super Micro 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 Markforged Holding and Super Micro into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Markforged Holding Corp and Super Micro Computer, you can compare the effects of market volatilities on Markforged Holding and Super Micro 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 Markforged Holding with a short position of Super Micro. Check out your portfolio center. Please also check ongoing floating volatility patterns of Markforged Holding and Super Micro.
Diversification Opportunities for Markforged Holding and Super Micro
-0.32 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Markforged and Super is -0.32. Overlapping area represents the amount of risk that can be diversified away by holding Markforged Holding Corp and Super Micro Computer in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Super Micro Computer and Markforged Holding 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 Markforged Holding Corp are associated (or correlated) with Super Micro. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Super Micro Computer has no effect on the direction of Markforged Holding i.e., Markforged Holding and Super Micro go up and down completely randomly.
Pair Corralation between Markforged Holding and Super Micro
Given the investment horizon of 90 days Markforged Holding Corp is expected to generate 0.12 times more return on investment than Super Micro. However, Markforged Holding Corp is 8.27 times less risky than Super Micro. It trades about -0.11 of its potential returns per unit of risk. Super Micro Computer is currently generating about -0.04 per unit of risk. If you would invest 457.00 in Markforged Holding Corp on August 24, 2024 and sell it today you would lose (19.00) from holding Markforged Holding Corp or give up 4.16% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Markforged Holding Corp vs. Super Micro Computer
Performance |
Timeline |
Markforged Holding Corp |
Super Micro Computer |
Markforged Holding and Super Micro Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Markforged Holding and Super Micro
The main advantage of trading using opposite Markforged Holding and Super Micro positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Markforged Holding position performs unexpectedly, Super Micro 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 Super Micro will offset losses from the drop in Super Micro's long position.Markforged Holding vs. Stratasys | Markforged Holding vs. Desktop Metal | Markforged Holding vs. 3D Systems | Markforged Holding vs. Nano Dimension |
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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 Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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