Correlation Between Dodge Balanced and Dodge Cox
Can any of the company-specific risk be diversified away by investing in both Dodge Balanced and Dodge Cox 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 Dodge Balanced and Dodge Cox into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dodge Balanced Fund and Dodge Cox Income, you can compare the effects of market volatilities on Dodge Balanced and Dodge Cox 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 Dodge Balanced with a short position of Dodge Cox. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dodge Balanced and Dodge Cox.
Diversification Opportunities for Dodge Balanced and Dodge Cox
-0.34 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Dodge and Dodge is -0.34. Overlapping area represents the amount of risk that can be diversified away by holding Dodge Balanced Fund and Dodge Cox Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dodge Cox Income and Dodge Balanced 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 Dodge Balanced Fund are associated (or correlated) with Dodge Cox. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dodge Cox Income has no effect on the direction of Dodge Balanced i.e., Dodge Balanced and Dodge Cox go up and down completely randomly.
Pair Corralation between Dodge Balanced and Dodge Cox
Assuming the 90 days horizon Dodge Balanced Fund is expected to generate 1.17 times more return on investment than Dodge Cox. However, Dodge Balanced is 1.17 times more volatile than Dodge Cox Income. It trades about 0.02 of its potential returns per unit of risk. Dodge Cox Income is currently generating about -0.15 per unit of risk. If you would invest 10,833 in Dodge Balanced Fund on September 17, 2024 and sell it today you would earn a total of 38.00 from holding Dodge Balanced Fund or generate 0.35% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Dodge Balanced Fund vs. Dodge Cox Income
Performance |
Timeline |
Dodge Balanced |
Dodge Cox Income |
Dodge Balanced and Dodge Cox Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dodge Balanced and Dodge Cox
The main advantage of trading using opposite Dodge Balanced and Dodge Cox positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dodge Balanced position performs unexpectedly, Dodge Cox 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 Dodge Cox will offset losses from the drop in Dodge Cox's long position.Dodge Balanced vs. Dodge Stock Fund | Dodge Balanced vs. Dodge International Stock | Dodge Balanced vs. Dodge Income Fund | Dodge Balanced vs. Oakmark Equity And |
Dodge Cox vs. Dodge Stock Fund | Dodge Cox vs. Dodge International Stock | Dodge Cox vs. Dodge Cox Emerging | Dodge Cox vs. Dodge Balanced Fund |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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