Correlation Between Dodge Cox and Federated Mdt
Can any of the company-specific risk be diversified away by investing in both Dodge Cox and Federated Mdt 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 Cox and Federated Mdt into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dodge Cox Stock and Federated Mdt Balanced, you can compare the effects of market volatilities on Dodge Cox and Federated Mdt 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 Cox with a short position of Federated Mdt. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dodge Cox and Federated Mdt.
Diversification Opportunities for Dodge Cox and Federated Mdt
0.81 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Dodge and Federated is 0.81. Overlapping area represents the amount of risk that can be diversified away by holding Dodge Cox Stock and Federated Mdt Balanced in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Federated Mdt Balanced and Dodge Cox 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 Cox Stock are associated (or correlated) with Federated Mdt. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Federated Mdt Balanced has no effect on the direction of Dodge Cox i.e., Dodge Cox and Federated Mdt go up and down completely randomly.
Pair Corralation between Dodge Cox and Federated Mdt
Assuming the 90 days horizon Dodge Cox Stock is expected to generate 0.85 times more return on investment than Federated Mdt. However, Dodge Cox Stock is 1.18 times less risky than Federated Mdt. It trades about -0.29 of its potential returns per unit of risk. Federated Mdt Balanced is currently generating about -0.3 per unit of risk. If you would invest 28,805 in Dodge Cox Stock on September 29, 2024 and sell it today you would lose (2,701) from holding Dodge Cox Stock or give up 9.38% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 95.24% |
Values | Daily Returns |
Dodge Cox Stock vs. Federated Mdt Balanced
Performance |
Timeline |
Dodge Cox Stock |
Federated Mdt Balanced |
Dodge Cox and Federated Mdt Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dodge Cox and Federated Mdt
The main advantage of trading using opposite Dodge Cox and Federated Mdt positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dodge Cox position performs unexpectedly, Federated Mdt 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 Federated Mdt will offset losses from the drop in Federated Mdt's long position.Dodge Cox vs. Mirova Global Green | Dodge Cox vs. Jhancock Global Equity | Dodge Cox vs. Commonwealth Global Fund | Dodge Cox vs. Morningstar Global Income |
Federated Mdt vs. Federated Emerging Market | Federated Mdt vs. Federated Mdt All | Federated Mdt vs. Federated Global Allocation | Federated Mdt vs. Federated Hermes Emerging |
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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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