Correlation Between Sun Communities and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Sun Communities and Dow Jones 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 Sun Communities and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sun Communities and Dow Jones Industrial, you can compare the effects of market volatilities on Sun Communities and Dow Jones 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 Sun Communities with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sun Communities and Dow Jones.
Diversification Opportunities for Sun Communities and Dow Jones
-0.17 | Correlation Coefficient |
Good diversification
The 3 months correlation between Sun and Dow is -0.17. Overlapping area represents the amount of risk that can be diversified away by holding Sun Communities and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial and Sun Communities 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 Sun Communities are associated (or correlated) with Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of Sun Communities i.e., Sun Communities and Dow Jones go up and down completely randomly.
Pair Corralation between Sun Communities and Dow Jones
Assuming the 90 days horizon Sun Communities is expected to under-perform the Dow Jones. In addition to that, Sun Communities is 2.05 times more volatile than Dow Jones Industrial. It trades about -0.09 of its total potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.02 per unit of volatility. If you would invest 4,251,495 in Dow Jones Industrial on September 23, 2024 and sell it today you would earn a total of 32,531 from holding Dow Jones Industrial or generate 0.77% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 97.73% |
Values | Daily Returns |
Sun Communities vs. Dow Jones Industrial
Performance |
Timeline |
Sun Communities and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
Sun Communities
Pair trading matchups for Sun Communities
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Sun Communities and Dow Jones
The main advantage of trading using opposite Sun Communities and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sun Communities position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.Sun Communities vs. Equity Residential | Sun Communities vs. AvalonBay Communities | Sun Communities vs. UDR Inc | Sun Communities vs. INVITATION HOMES DL |
Dow Jones vs. Nok Airlines Public | Dow Jones vs. Alaska Air Group | Dow Jones vs. Universal Music Group | Dow Jones vs. Copa Holdings SA |
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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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