Correlation Between BIMobject and Generic Sweden
Can any of the company-specific risk be diversified away by investing in both BIMobject and Generic Sweden 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 BIMobject and Generic Sweden into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BIMobject AB and Generic Sweden publ, you can compare the effects of market volatilities on BIMobject and Generic Sweden 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 BIMobject with a short position of Generic Sweden. Check out your portfolio center. Please also check ongoing floating volatility patterns of BIMobject and Generic Sweden.
Diversification Opportunities for BIMobject and Generic Sweden
0.09 | Correlation Coefficient |
Significant diversification
The 3 months correlation between BIMobject and Generic is 0.09. Overlapping area represents the amount of risk that can be diversified away by holding BIMobject AB and Generic Sweden publ in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Generic Sweden publ and BIMobject 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 BIMobject AB are associated (or correlated) with Generic Sweden. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Generic Sweden publ has no effect on the direction of BIMobject i.e., BIMobject and Generic Sweden go up and down completely randomly.
Pair Corralation between BIMobject and Generic Sweden
Assuming the 90 days trading horizon BIMobject AB is expected to generate 1.35 times more return on investment than Generic Sweden. However, BIMobject is 1.35 times more volatile than Generic Sweden publ. It trades about 0.04 of its potential returns per unit of risk. Generic Sweden publ is currently generating about 0.05 per unit of risk. If you would invest 303.00 in BIMobject AB on September 24, 2024 and sell it today you would earn a total of 143.00 from holding BIMobject AB or generate 47.19% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
BIMobject AB vs. Generic Sweden publ
Performance |
Timeline |
BIMobject AB |
Generic Sweden publ |
BIMobject and Generic Sweden Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BIMobject and Generic Sweden
The main advantage of trading using opposite BIMobject and Generic Sweden positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BIMobject position performs unexpectedly, Generic Sweden 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 Generic Sweden will offset losses from the drop in Generic Sweden's long position.BIMobject vs. FormPipe Software AB | BIMobject vs. MOBA Network publ | BIMobject vs. Exsitec Holding AB | BIMobject vs. Novotek AB |
Generic Sweden vs. Lagercrantz Group AB | Generic Sweden vs. Vitec Software Group | Generic Sweden vs. Addnode Group AB | Generic Sweden vs. Inwido 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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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