Correlation Between High Income and Value Fund
Can any of the company-specific risk be diversified away by investing in both High Income and Value 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 High Income and Value Fund into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between High Income Fund and Value Fund R6, you can compare the effects of market volatilities on High Income and Value 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 High Income with a short position of Value Fund. Check out your portfolio center. Please also check ongoing floating volatility patterns of High Income and Value Fund.
Diversification Opportunities for High Income and Value Fund
0.92 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between High and Value is 0.92. Overlapping area represents the amount of risk that can be diversified away by holding High Income Fund and Value Fund R6 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Value Fund R6 and High Income 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 High Income Fund are associated (or correlated) with Value Fund. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Value Fund R6 has no effect on the direction of High Income i.e., High Income and Value Fund go up and down completely randomly.
Pair Corralation between High Income and Value Fund
Assuming the 90 days horizon High Income is expected to generate 2.32 times less return on investment than Value Fund. But when comparing it to its historical volatility, High Income Fund is 3.67 times less risky than Value Fund. It trades about 0.21 of its potential returns per unit of risk. Value Fund R6 is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 778.00 in Value Fund R6 on May 14, 2025 and sell it today you would earn a total of 45.00 from holding Value Fund R6 or generate 5.78% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 98.39% |
Values | Daily Returns |
High Income Fund vs. Value Fund R6
Performance |
Timeline |
High Income Fund |
Value Fund R6 |
High Income and Value Fund Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with High Income and Value Fund
The main advantage of trading using opposite High Income and Value Fund positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if High Income position performs unexpectedly, Value 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 Value Fund will offset losses from the drop in Value Fund's long position.High Income vs. Western Assets Emerging | High Income vs. Mondrian Emerging Markets | High Income vs. Angel Oak Multi Strategy | High Income vs. Abs Insights Emerging |
Value Fund vs. Pnc International Growth | Value Fund vs. Morningstar Growth Etf | Value Fund vs. L Abbett Growth | Value Fund vs. Lebenthal Lisanti Small |
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 Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
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