Correlation Between SAXLUND GROUP and H2O Retailing
Can any of the company-specific risk be diversified away by investing in both SAXLUND GROUP and H2O Retailing 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 SAXLUND GROUP and H2O Retailing into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SAXLUND GROUP AB and H2O Retailing, you can compare the effects of market volatilities on SAXLUND GROUP and H2O Retailing 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 SAXLUND GROUP with a short position of H2O Retailing. Check out your portfolio center. Please also check ongoing floating volatility patterns of SAXLUND GROUP and H2O Retailing.
Diversification Opportunities for SAXLUND GROUP and H2O Retailing
-0.33 | Correlation Coefficient |
Very good diversification
The 3 months correlation between SAXLUND and H2O is -0.33. Overlapping area represents the amount of risk that can be diversified away by holding SAXLUND GROUP AB and H2O Retailing in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on H2O Retailing and SAXLUND GROUP 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 SAXLUND GROUP AB are associated (or correlated) with H2O Retailing. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of H2O Retailing has no effect on the direction of SAXLUND GROUP i.e., SAXLUND GROUP and H2O Retailing go up and down completely randomly.
Pair Corralation between SAXLUND GROUP and H2O Retailing
Assuming the 90 days horizon SAXLUND GROUP AB is expected to generate 87.19 times more return on investment than H2O Retailing. However, SAXLUND GROUP is 87.19 times more volatile than H2O Retailing. It trades about 0.3 of its potential returns per unit of risk. H2O Retailing is currently generating about 0.05 per unit of risk. If you would invest 300.00 in SAXLUND GROUP AB on October 8, 2024 and sell it today you would lose (280.00) from holding SAXLUND GROUP AB or give up 93.33% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 99.47% |
Values | Daily Returns |
SAXLUND GROUP AB vs. H2O Retailing
Performance |
Timeline |
SAXLUND GROUP AB |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Good
H2O Retailing |
SAXLUND GROUP and H2O Retailing Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SAXLUND GROUP and H2O Retailing
The main advantage of trading using opposite SAXLUND GROUP and H2O Retailing positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SAXLUND GROUP position performs unexpectedly, H2O Retailing 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 H2O Retailing will offset losses from the drop in H2O Retailing's long position.SAXLUND GROUP vs. NORTHEAST UTILITIES | SAXLUND GROUP vs. Summit Hotel Properties | SAXLUND GROUP vs. Pebblebrook Hotel Trust | SAXLUND GROUP vs. Host Hotels Resorts |
H2O Retailing vs. PEPKOR LTD | H2O Retailing vs. Superior Plus Corp | H2O Retailing vs. NMI Holdings | H2O Retailing vs. SIVERS SEMICONDUCTORS AB |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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