Correlation Between Firan Technology and SVENSKA CELLULO
Can any of the company-specific risk be diversified away by investing in both Firan Technology and SVENSKA CELLULO 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 SVENSKA CELLULO 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 SVENSKA CELLULO B , you can compare the effects of market volatilities on Firan Technology and SVENSKA CELLULO 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 SVENSKA CELLULO. Check out your portfolio center. Please also check ongoing floating volatility patterns of Firan Technology and SVENSKA CELLULO.
Diversification Opportunities for Firan Technology and SVENSKA CELLULO
0.33 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Firan and SVENSKA is 0.33. Overlapping area represents the amount of risk that can be diversified away by holding Firan Technology Group and SVENSKA CELLULO B in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SVENSKA CELLULO B 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 SVENSKA CELLULO. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SVENSKA CELLULO B has no effect on the direction of Firan Technology i.e., Firan Technology and SVENSKA CELLULO go up and down completely randomly.
Pair Corralation between Firan Technology and SVENSKA CELLULO
Assuming the 90 days trading horizon Firan Technology Group is expected to under-perform the SVENSKA CELLULO. In addition to that, Firan Technology is 1.73 times more volatile than SVENSKA CELLULO B . It trades about -0.04 of its total potential returns per unit of risk. SVENSKA CELLULO B is currently generating about 0.14 per unit of volatility. If you would invest 1,175 in SVENSKA CELLULO B on December 23, 2024 and sell it today you would earn a total of 122.00 from holding SVENSKA CELLULO B or generate 10.38% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Firan Technology Group vs. SVENSKA CELLULO B
Performance |
Timeline |
Firan Technology |
SVENSKA CELLULO B |
Firan Technology and SVENSKA CELLULO Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Firan Technology and SVENSKA CELLULO
The main advantage of trading using opposite Firan Technology and SVENSKA CELLULO positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Firan Technology position performs unexpectedly, SVENSKA CELLULO 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 SVENSKA CELLULO will offset losses from the drop in SVENSKA CELLULO's long position.Firan Technology vs. SLR Investment Corp | Firan Technology vs. CapitaLand Investment Limited | Firan Technology vs. Gladstone Investment | Firan Technology vs. tokentus investment AG |
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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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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