Correlation Between REINET INVESTMENTS and BASF SE
Can any of the company-specific risk be diversified away by investing in both REINET INVESTMENTS and BASF SE 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 REINET INVESTMENTS and BASF SE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between REINET INVESTMENTS SCA and BASF SE, you can compare the effects of market volatilities on REINET INVESTMENTS and BASF SE 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 REINET INVESTMENTS with a short position of BASF SE. Check out your portfolio center. Please also check ongoing floating volatility patterns of REINET INVESTMENTS and BASF SE.
Diversification Opportunities for REINET INVESTMENTS and BASF SE
0.16 | Correlation Coefficient |
Average diversification
The 3 months correlation between REINET and BASF is 0.16. Overlapping area represents the amount of risk that can be diversified away by holding REINET INVESTMENTS SCA and BASF SE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BASF SE and REINET INVESTMENTS 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 REINET INVESTMENTS SCA are associated (or correlated) with BASF SE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BASF SE has no effect on the direction of REINET INVESTMENTS i.e., REINET INVESTMENTS and BASF SE go up and down completely randomly.
Pair Corralation between REINET INVESTMENTS and BASF SE
Assuming the 90 days horizon REINET INVESTMENTS SCA is expected to generate 2.13 times more return on investment than BASF SE. However, REINET INVESTMENTS is 2.13 times more volatile than BASF SE. It trades about 0.09 of its potential returns per unit of risk. BASF SE is currently generating about 0.05 per unit of risk. If you would invest 2,140 in REINET INVESTMENTS SCA on April 21, 2025 and sell it today you would earn a total of 360.00 from holding REINET INVESTMENTS SCA or generate 16.82% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
REINET INVESTMENTS SCA vs. BASF SE
Performance |
Timeline |
REINET INVESTMENTS SCA |
BASF SE |
REINET INVESTMENTS and BASF SE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with REINET INVESTMENTS and BASF SE
The main advantage of trading using opposite REINET INVESTMENTS and BASF SE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if REINET INVESTMENTS position performs unexpectedly, BASF SE 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 BASF SE will offset losses from the drop in BASF SE's long position.REINET INVESTMENTS vs. Ameriprise Financial | REINET INVESTMENTS vs. Ares Management Corp | REINET INVESTMENTS vs. AUREA SA INH | REINET INVESTMENTS vs. SIVERS SEMICONDUCTORS AB |
BASF SE vs. SINGAPORE AIRLINES | BASF SE vs. Carsales | BASF SE vs. Singapore Airlines Limited | BASF SE vs. Cars Inc |
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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