Correlation Between Dow Jones and Oakmark Fund
Can any of the company-specific risk be diversified away by investing in both Dow Jones and Oakmark Fund 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 Oakmark Fund 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 Oakmark Fund Institutional, you can compare the effects of market volatilities on Dow Jones and Oakmark Fund 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 Oakmark Fund. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and Oakmark Fund.
Diversification Opportunities for Dow Jones and Oakmark Fund
0.89 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Dow and Oakmark is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Oakmark Fund Institutional in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Oakmark Fund Institu 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 Oakmark Fund. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Oakmark Fund Institu has no effect on the direction of Dow Jones i.e., Dow Jones and Oakmark Fund go up and down completely randomly.
Pair Corralation between Dow Jones and Oakmark Fund
Assuming the 90 days trading horizon Dow Jones Industrial is expected to under-perform the Oakmark Fund. But the index apears to be less risky and, when comparing its historical volatility, Dow Jones Industrial is 1.01 times less risky than Oakmark Fund. The index trades about -0.04 of its potential returns per unit of risk. The Oakmark Fund Institutional is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 15,226 in Oakmark Fund Institutional on December 23, 2024 and sell it today you would earn a total of 200.00 from holding Oakmark Fund Institutional or generate 1.31% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 98.39% |
Values | Daily Returns |
Dow Jones Industrial vs. Oakmark Fund Institutional
Performance |
Timeline |
Dow Jones and Oakmark Fund Volatility Contrast
Predicted Return Density |
Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
Oakmark Fund Institutional
Pair trading matchups for Oakmark Fund
Pair Trading with Dow Jones and Oakmark Fund
The main advantage of trading using opposite Dow Jones and Oakmark Fund positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Oakmark Fund 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 Oakmark Fund will offset losses from the drop in Oakmark Fund's long position.Dow Jones vs. Flanigans Enterprises | Dow Jones vs. McDonalds | Dow Jones vs. El Pollo Loco | Dow Jones vs. Dominos Pizza Common |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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