Correlation Between Social Life and Manhattan Associates
Can any of the company-specific risk be diversified away by investing in both Social Life and Manhattan Associates 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 Social Life and Manhattan Associates into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Social Life Network and Manhattan Associates, you can compare the effects of market volatilities on Social Life and Manhattan Associates 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 Social Life with a short position of Manhattan Associates. Check out your portfolio center. Please also check ongoing floating volatility patterns of Social Life and Manhattan Associates.
Diversification Opportunities for Social Life and Manhattan Associates
0.23 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Social and Manhattan is 0.23. Overlapping area represents the amount of risk that can be diversified away by holding Social Life Network and Manhattan Associates in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Manhattan Associates and Social Life 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 Social Life Network are associated (or correlated) with Manhattan Associates. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Manhattan Associates has no effect on the direction of Social Life i.e., Social Life and Manhattan Associates go up and down completely randomly.
Pair Corralation between Social Life and Manhattan Associates
Given the investment horizon of 90 days Social Life Network is expected to generate 7.0 times more return on investment than Manhattan Associates. However, Social Life is 7.0 times more volatile than Manhattan Associates. It trades about 0.06 of its potential returns per unit of risk. Manhattan Associates is currently generating about 0.03 per unit of risk. If you would invest 0.14 in Social Life Network on November 27, 2024 and sell it today you would lose (0.10) from holding Social Life Network or give up 71.43% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Social Life Network vs. Manhattan Associates
Performance |
Timeline |
Social Life Network |
Manhattan Associates |
Social Life and Manhattan Associates Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Social Life and Manhattan Associates
The main advantage of trading using opposite Social Life and Manhattan Associates positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Social Life position performs unexpectedly, Manhattan Associates 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 Manhattan Associates will offset losses from the drop in Manhattan Associates' long position.Social Life vs. Image Protect | Social Life vs. Wanderport Corp | Social Life vs. Imd Companies | Social Life vs. MDM Permian |
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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 Aroon Oscillator module to analyze current equity momentum using Aroon Oscillator and other momentum ratios.
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