Correlation Between FLOW TRADERS and Materialise
Can any of the company-specific risk be diversified away by investing in both FLOW TRADERS and Materialise 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 FLOW TRADERS and Materialise into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between FLOW TRADERS LTD and Materialise NV, you can compare the effects of market volatilities on FLOW TRADERS and Materialise 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 FLOW TRADERS with a short position of Materialise. Check out your portfolio center. Please also check ongoing floating volatility patterns of FLOW TRADERS and Materialise.
Diversification Opportunities for FLOW TRADERS and Materialise
0.52 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between FLOW and Materialise is 0.52. Overlapping area represents the amount of risk that can be diversified away by holding FLOW TRADERS LTD and Materialise NV in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Materialise NV and FLOW TRADERS 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 FLOW TRADERS LTD are associated (or correlated) with Materialise. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Materialise NV has no effect on the direction of FLOW TRADERS i.e., FLOW TRADERS and Materialise go up and down completely randomly.
Pair Corralation between FLOW TRADERS and Materialise
Assuming the 90 days horizon FLOW TRADERS is expected to generate 2.25 times less return on investment than Materialise. But when comparing it to its historical volatility, FLOW TRADERS LTD is 3.24 times less risky than Materialise. It trades about 0.1 of its potential returns per unit of risk. Materialise NV is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 670.00 in Materialise NV on September 21, 2024 and sell it today you would earn a total of 30.00 from holding Materialise NV or generate 4.48% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
FLOW TRADERS LTD vs. Materialise NV
Performance |
Timeline |
FLOW TRADERS LTD |
Materialise NV |
FLOW TRADERS and Materialise Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with FLOW TRADERS and Materialise
The main advantage of trading using opposite FLOW TRADERS and Materialise positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FLOW TRADERS position performs unexpectedly, Materialise 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 Materialise will offset losses from the drop in Materialise's long position.FLOW TRADERS vs. Superior Plus Corp | FLOW TRADERS vs. SIVERS SEMICONDUCTORS AB | FLOW TRADERS vs. CHINA HUARONG ENERHD 50 | FLOW TRADERS vs. NORDIC HALIBUT AS |
Materialise vs. Tradegate AG Wertpapierhandelsbank | Materialise vs. SUN ART RETAIL | Materialise vs. FLOW TRADERS LTD | Materialise vs. TRADEDOUBLER AB SK |
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 Valuation module to check real value of public entities based on technical and fundamental data.
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