Correlation Between MOBILE FACTORY and 24SEVENOFFICE GROUP
Can any of the company-specific risk be diversified away by investing in both MOBILE FACTORY and 24SEVENOFFICE GROUP 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 MOBILE FACTORY and 24SEVENOFFICE GROUP into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MOBILE FACTORY INC and 24SEVENOFFICE GROUP AB, you can compare the effects of market volatilities on MOBILE FACTORY and 24SEVENOFFICE GROUP 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 MOBILE FACTORY with a short position of 24SEVENOFFICE GROUP. Check out your portfolio center. Please also check ongoing floating volatility patterns of MOBILE FACTORY and 24SEVENOFFICE GROUP.
Diversification Opportunities for MOBILE FACTORY and 24SEVENOFFICE GROUP
-0.35 | Correlation Coefficient |
Very good diversification
The 3 months correlation between MOBILE and 24SEVENOFFICE is -0.35. Overlapping area represents the amount of risk that can be diversified away by holding MOBILE FACTORY INC and 24SEVENOFFICE GROUP AB in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on 24SEVENOFFICE GROUP and MOBILE FACTORY 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 MOBILE FACTORY INC are associated (or correlated) with 24SEVENOFFICE GROUP. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of 24SEVENOFFICE GROUP has no effect on the direction of MOBILE FACTORY i.e., MOBILE FACTORY and 24SEVENOFFICE GROUP go up and down completely randomly.
Pair Corralation between MOBILE FACTORY and 24SEVENOFFICE GROUP
Assuming the 90 days horizon MOBILE FACTORY INC is expected to generate 0.43 times more return on investment than 24SEVENOFFICE GROUP. However, MOBILE FACTORY INC is 2.33 times less risky than 24SEVENOFFICE GROUP. It trades about 0.03 of its potential returns per unit of risk. 24SEVENOFFICE GROUP AB is currently generating about 0.0 per unit of risk. If you would invest 555.00 in MOBILE FACTORY INC on December 23, 2024 and sell it today you would earn a total of 15.00 from holding MOBILE FACTORY INC or generate 2.7% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
MOBILE FACTORY INC vs. 24SEVENOFFICE GROUP AB
Performance |
Timeline |
MOBILE FACTORY INC |
24SEVENOFFICE GROUP |
MOBILE FACTORY and 24SEVENOFFICE GROUP Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MOBILE FACTORY and 24SEVENOFFICE GROUP
The main advantage of trading using opposite MOBILE FACTORY and 24SEVENOFFICE GROUP positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MOBILE FACTORY position performs unexpectedly, 24SEVENOFFICE GROUP 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 24SEVENOFFICE GROUP will offset losses from the drop in 24SEVENOFFICE GROUP's long position.MOBILE FACTORY vs. FORMPIPE SOFTWARE AB | MOBILE FACTORY vs. TRI CHEMICAL LABORATINC | MOBILE FACTORY vs. CHEMICAL INDUSTRIES | MOBILE FACTORY vs. GBS Software 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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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