Correlation Between State Farm and Financial Industries
Can any of the company-specific risk be diversified away by investing in both State Farm and Financial Industries 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 Financial Industries 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 Financial Industries Fund, you can compare the effects of market volatilities on State Farm and Financial Industries 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 Financial Industries. Check out your portfolio center. Please also check ongoing floating volatility patterns of State Farm and Financial Industries.
Diversification Opportunities for State Farm and Financial Industries
0.86 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between State and Financial is 0.86. Overlapping area represents the amount of risk that can be diversified away by holding State Farm Growth and Financial Industries Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Financial Industries 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 Financial Industries. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Financial Industries has no effect on the direction of State Farm i.e., State Farm and Financial Industries go up and down completely randomly.
Pair Corralation between State Farm and Financial Industries
Assuming the 90 days horizon State Farm Growth is expected to under-perform the Financial Industries. But the mutual fund apears to be less risky and, when comparing its historical volatility, State Farm Growth is 1.58 times less risky than Financial Industries. The mutual fund trades about -0.01 of its potential returns per unit of risk. The Financial Industries Fund is currently generating about 0.19 of returns per unit of risk over similar time horizon. If you would invest 1,809 in Financial Industries Fund on October 23, 2024 and sell it today you would earn a total of 72.00 from holding Financial Industries Fund or generate 3.98% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
State Farm Growth vs. Financial Industries Fund
Performance |
Timeline |
State Farm Growth |
Financial Industries |
State Farm and Financial Industries Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with State Farm and Financial Industries
The main advantage of trading using opposite State Farm and Financial Industries positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if State Farm position performs unexpectedly, Financial Industries 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 Financial Industries will offset losses from the drop in Financial Industries' long position.State Farm vs. State Street Real | State Farm vs. Pender Real Estate | State Farm vs. Deutsche Real Estate | State Farm vs. Fidelity Real Estate |
Financial Industries vs. Gabelli Global Financial | Financial Industries vs. Mesirow Financial Small | Financial Industries vs. Icon Financial Fund | Financial Industries vs. Blackrock Financial Institutions |
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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