Correlation Between Balanced Fund and Dunham Large
Can any of the company-specific risk be diversified away by investing in both Balanced Fund and Dunham Large 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 Balanced Fund and Dunham Large into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Balanced Fund Retail and Dunham Large Cap, you can compare the effects of market volatilities on Balanced Fund and Dunham Large 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 Balanced Fund with a short position of Dunham Large. Check out your portfolio center. Please also check ongoing floating volatility patterns of Balanced Fund and Dunham Large.
Diversification Opportunities for Balanced Fund and Dunham Large
0.86 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Balanced and Dunham is 0.86. Overlapping area represents the amount of risk that can be diversified away by holding Balanced Fund Retail and Dunham Large Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dunham Large Cap and Balanced Fund 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 Balanced Fund Retail are associated (or correlated) with Dunham Large. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dunham Large Cap has no effect on the direction of Balanced Fund i.e., Balanced Fund and Dunham Large go up and down completely randomly.
Pair Corralation between Balanced Fund and Dunham Large
Assuming the 90 days horizon Balanced Fund is expected to generate 1.69 times less return on investment than Dunham Large. But when comparing it to its historical volatility, Balanced Fund Retail is 1.21 times less risky than Dunham Large. It trades about 0.13 of its potential returns per unit of risk. Dunham Large Cap is currently generating about 0.18 of returns per unit of risk over similar time horizon. If you would invest 1,986 in Dunham Large Cap on September 5, 2024 and sell it today you would earn a total of 144.00 from holding Dunham Large Cap or generate 7.25% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 98.44% |
Values | Daily Returns |
Balanced Fund Retail vs. Dunham Large Cap
Performance |
Timeline |
Balanced Fund Retail |
Dunham Large Cap |
Balanced Fund and Dunham Large Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Balanced Fund and Dunham Large
The main advantage of trading using opposite Balanced Fund and Dunham Large positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Balanced Fund position performs unexpectedly, Dunham Large 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 Dunham Large will offset losses from the drop in Dunham Large's long position.Balanced Fund vs. Muirfield Fund Retail | Balanced Fund vs. Dynamic Growth Fund | Balanced Fund vs. Infrastructure Fund Retail | Balanced Fund vs. Quantex Fund Retail |
Dunham Large vs. Us Vector Equity | Dunham Large vs. Nationwide Global Equity | Dunham Large vs. Balanced Fund Retail | Dunham Large vs. Ms Global Fixed |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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