Correlation Between State Farm and Ab Minnesota
Can any of the company-specific risk be diversified away by investing in both State Farm and Ab Minnesota 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 State Farm and Ab Minnesota into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between State Farm Growth and Ab Minnesota Portfolio, you can compare the effects of market volatilities on State Farm and Ab Minnesota 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 State Farm with a short position of Ab Minnesota. Check out your portfolio center. Please also check ongoing floating volatility patterns of State Farm and Ab Minnesota.
Diversification Opportunities for State Farm and Ab Minnesota
0.17 | Correlation Coefficient |
Average diversification
The 3 months correlation between State and AMNCX is 0.17. Overlapping area represents the amount of risk that can be diversified away by holding State Farm Growth and Ab Minnesota Portfolio in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ab Minnesota Portfolio and State Farm 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 State Farm Growth are associated (or correlated) with Ab Minnesota. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ab Minnesota Portfolio has no effect on the direction of State Farm i.e., State Farm and Ab Minnesota go up and down completely randomly.
Pair Corralation between State Farm and Ab Minnesota
Assuming the 90 days horizon State Farm Growth is expected to under-perform the Ab Minnesota. In addition to that, State Farm is 4.24 times more volatile than Ab Minnesota Portfolio. It trades about -0.19 of its total potential returns per unit of risk. Ab Minnesota Portfolio is currently generating about -0.34 per unit of volatility. If you would invest 951.00 in Ab Minnesota Portfolio on January 29, 2024 and sell it today you would lose (13.00) from holding Ab Minnesota Portfolio or give up 1.37% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
State Farm Growth vs. Ab Minnesota Portfolio
Performance |
Timeline |
State Farm Growth |
Ab Minnesota Portfolio |
State Farm and Ab Minnesota Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with State Farm and Ab Minnesota
The main advantage of trading using opposite State Farm and Ab Minnesota positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if State Farm position performs unexpectedly, Ab Minnesota 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 Ab Minnesota will offset losses from the drop in Ab Minnesota's long position.State Farm vs. State Farm Balanced | State Farm vs. State Farm Municipal | State Farm vs. State Farm Interim | State Farm vs. Fidelity Zero Total |
Ab Minnesota vs. Ab Global E | Ab Minnesota vs. Ab Global E | Ab Minnesota vs. Ab Global E | Ab Minnesota vs. Ab All Market |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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