Correlation Between Value Fund and Intermediate Term
Can any of the company-specific risk be diversified away by investing in both Value Fund 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 Value Fund and Intermediate Term into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Value Fund Value and Intermediate Term Bond Fund, you can compare the effects of market volatilities on Value Fund 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 Value Fund with a short position of Intermediate Term. Check out your portfolio center. Please also check ongoing floating volatility patterns of Value Fund and Intermediate Term.
Diversification Opportunities for Value Fund and Intermediate Term
0.76 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Value and Intermediate is 0.76. Overlapping area represents the amount of risk that can be diversified away by holding Value Fund Value 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 Value 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 Value Fund Value 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 Value Fund i.e., Value Fund and Intermediate Term go up and down completely randomly.
Pair Corralation between Value Fund and Intermediate Term
Assuming the 90 days horizon Value Fund Value is expected to generate 2.64 times more return on investment than Intermediate Term. However, Value Fund is 2.64 times more volatile than Intermediate Term Bond Fund. It trades about 0.26 of its potential returns per unit of risk. Intermediate Term Bond Fund is currently generating about 0.11 per unit of risk. If you would invest 1,736 in Value Fund Value on April 20, 2025 and sell it today you would earn a total of 236.00 from holding Value Fund Value or generate 13.59% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Value Fund Value vs. Intermediate Term Bond Fund
Performance |
Timeline |
Value Fund Value |
Intermediate Term Bond |
Value Fund and Intermediate Term Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Value Fund and Intermediate Term
The main advantage of trading using opposite Value Fund and Intermediate Term positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Value Fund 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.Value Fund vs. Capital Growth Fund | Value Fund vs. Emerging Markets Fund | Value Fund vs. High Income Fund | Value Fund vs. International Fund International |
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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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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