Correlation Between Dunham High and Hartford Balanced
Can any of the company-specific risk be diversified away by investing in both Dunham High and Hartford Balanced 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 Dunham High and Hartford Balanced into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dunham High Yield and The Hartford Balanced, you can compare the effects of market volatilities on Dunham High and Hartford Balanced 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 Dunham High with a short position of Hartford Balanced. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dunham High and Hartford Balanced.
Diversification Opportunities for Dunham High and Hartford Balanced
0.75 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Dunham and Hartford is 0.75. Overlapping area represents the amount of risk that can be diversified away by holding Dunham High Yield and The Hartford Balanced in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hartford Balanced and Dunham High 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 Dunham High Yield are associated (or correlated) with Hartford Balanced. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hartford Balanced has no effect on the direction of Dunham High i.e., Dunham High and Hartford Balanced go up and down completely randomly.
Pair Corralation between Dunham High and Hartford Balanced
Assuming the 90 days horizon Dunham High is expected to generate 2.43 times less return on investment than Hartford Balanced. But when comparing it to its historical volatility, Dunham High Yield is 1.91 times less risky than Hartford Balanced. It trades about 0.09 of its potential returns per unit of risk. The Hartford Balanced is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 1,423 in The Hartford Balanced on December 25, 2024 and sell it today you would earn a total of 36.00 from holding The Hartford Balanced or generate 2.53% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Dunham High Yield vs. The Hartford Balanced
Performance |
Timeline |
Dunham High Yield |
Hartford Balanced |
Dunham High and Hartford Balanced Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dunham High and Hartford Balanced
The main advantage of trading using opposite Dunham High and Hartford Balanced positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dunham High position performs unexpectedly, Hartford Balanced 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 Hartford Balanced will offset losses from the drop in Hartford Balanced's long position.Dunham High vs. Blackrock Conservative Prprdptfinstttnl | Dunham High vs. Western Asset Diversified | Dunham High vs. Aqr Diversified Arbitrage | Dunham High vs. Tax Free Conservative Income |
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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 Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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