Correlation Between High Income and Intermediate-term
Can any of the company-specific risk be diversified away by investing in both High Income and Intermediate-term 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 Intermediate-term 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 Intermediate Term Bond Fund, you can compare the effects of market volatilities on High Income and Intermediate-term 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 Intermediate-term. Check out your portfolio center. Please also check ongoing floating volatility patterns of High Income and Intermediate-term.
Diversification Opportunities for High Income and Intermediate-term
0.67 | Correlation Coefficient |
Poor diversification
The 3 months correlation between High and Intermediate-term is 0.67. Overlapping area represents the amount of risk that can be diversified away by holding High Income Fund and Intermediate Term Bond Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Intermediate Term Bond 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 Intermediate-term. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Intermediate Term Bond has no effect on the direction of High Income i.e., High Income and Intermediate-term go up and down completely randomly.
Pair Corralation between High Income and Intermediate-term
Assuming the 90 days horizon High Income Fund is expected to generate 0.7 times more return on investment than Intermediate-term. However, High Income Fund is 1.42 times less risky than Intermediate-term. It trades about -0.02 of its potential returns per unit of risk. Intermediate Term Bond Fund is currently generating about -0.07 per unit of risk. If you would invest 687.00 in High Income Fund on October 8, 2024 and sell it today you would lose (1.00) from holding High Income Fund or give up 0.15% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
High Income Fund vs. Intermediate Term Bond Fund
Performance |
Timeline |
High Income Fund |
Intermediate Term Bond |
High Income and Intermediate-term Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with High Income and Intermediate-term
The main advantage of trading using opposite High Income and Intermediate-term positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if High Income position performs unexpectedly, Intermediate-term 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 Intermediate-term will offset losses from the drop in Intermediate-term's long position.High Income vs. Capital Growth Fund | High Income vs. Emerging Markets Fund | High Income vs. International Fund International | High Income vs. Growth Income Fund |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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