Correlation Between Firan Technology and FlatexDEGIRO
Can any of the company-specific risk be diversified away by investing in both Firan Technology and FlatexDEGIRO 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 Firan Technology and FlatexDEGIRO into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Firan Technology Group and flatexDEGIRO AG, you can compare the effects of market volatilities on Firan Technology and FlatexDEGIRO 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 Firan Technology with a short position of FlatexDEGIRO. Check out your portfolio center. Please also check ongoing floating volatility patterns of Firan Technology and FlatexDEGIRO.
Diversification Opportunities for Firan Technology and FlatexDEGIRO
-0.3 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Firan and FlatexDEGIRO is -0.3. Overlapping area represents the amount of risk that can be diversified away by holding Firan Technology Group and flatexDEGIRO AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on flatexDEGIRO AG and Firan Technology 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 Firan Technology Group are associated (or correlated) with FlatexDEGIRO. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of flatexDEGIRO AG has no effect on the direction of Firan Technology i.e., Firan Technology and FlatexDEGIRO go up and down completely randomly.
Pair Corralation between Firan Technology and FlatexDEGIRO
Assuming the 90 days trading horizon Firan Technology Group is expected to under-perform the FlatexDEGIRO. But the stock apears to be less risky and, when comparing its historical volatility, Firan Technology Group is 1.14 times less risky than FlatexDEGIRO. The stock trades about -0.05 of its potential returns per unit of risk. The flatexDEGIRO AG is currently generating about 0.29 of returns per unit of risk over similar time horizon. If you would invest 1,488 in flatexDEGIRO AG on December 26, 2024 and sell it today you would earn a total of 752.00 from holding flatexDEGIRO AG or generate 50.54% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Firan Technology Group vs. flatexDEGIRO AG
Performance |
Timeline |
Firan Technology |
flatexDEGIRO AG |
Firan Technology and FlatexDEGIRO Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Firan Technology and FlatexDEGIRO
The main advantage of trading using opposite Firan Technology and FlatexDEGIRO positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Firan Technology position performs unexpectedly, FlatexDEGIRO 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 FlatexDEGIRO will offset losses from the drop in FlatexDEGIRO's long position.Firan Technology vs. Molina Healthcare | Firan Technology vs. Phibro Animal Health | Firan Technology vs. Genertec Universal Medical | Firan Technology vs. Compugroup Medical SE |
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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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