Correlation Between Dow Jones and State Farm
Can any of the company-specific risk be diversified away by investing in both Dow Jones and State Farm 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 Dow Jones and State Farm into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dow Jones Industrial and State Farm Growth, you can compare the effects of market volatilities on Dow Jones and State Farm 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 Dow Jones with a short position of State Farm. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and State Farm.
Diversification Opportunities for Dow Jones and State Farm
0.86 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Dow and State is 0.86. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and State Farm Growth in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on State Farm Growth and Dow Jones 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 Dow Jones Industrial are associated (or correlated) with State Farm. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of State Farm Growth has no effect on the direction of Dow Jones i.e., Dow Jones and State Farm go up and down completely randomly.
Pair Corralation between Dow Jones and State Farm
Assuming the 90 days trading horizon Dow Jones Industrial is expected to generate 1.0 times more return on investment than State Farm. However, Dow Jones is 1.0 times more volatile than State Farm Growth. It trades about -0.01 of its potential returns per unit of risk. State Farm Growth is currently generating about -0.05 per unit of risk. If you would invest 4,257,373 in Dow Jones Industrial on December 28, 2024 and sell it today you would lose (27,403) from holding Dow Jones Industrial or give up 0.64% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 98.36% |
Values | Daily Returns |
Dow Jones Industrial vs. State Farm Growth
Performance |
Timeline |
Dow Jones and State Farm Volatility Contrast
Predicted Return Density |
Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
State Farm Growth
Pair trading matchups for State Farm
Pair Trading with Dow Jones and State Farm
The main advantage of trading using opposite Dow Jones and State Farm positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, State Farm 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 State Farm will offset losses from the drop in State Farm's long position.Dow Jones vs. PennantPark Investment | Dow Jones vs. Western Asset Investment | Dow Jones vs. Yoshitsu Co Ltd | Dow Jones vs. Black Hills |
State Farm vs. Virtus High Yield | State Farm vs. Legg Mason Partners | State Farm vs. American Century High | State Farm vs. Metropolitan West High |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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