Correlation Between Vanguard Short and Low Duration
Can any of the company-specific risk be diversified away by investing in both Vanguard Short and Low Duration 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 Vanguard Short and Low Duration into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Vanguard Short Term Investment Grade and Low Duration Fund, you can compare the effects of market volatilities on Vanguard Short and Low Duration 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 Vanguard Short with a short position of Low Duration. Check out your portfolio center. Please also check ongoing floating volatility patterns of Vanguard Short and Low Duration.
Diversification Opportunities for Vanguard Short and Low Duration
0.88 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Vanguard and Low is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding Vanguard Short Term Investment and Low Duration Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Low Duration and Vanguard Short 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 Vanguard Short Term Investment Grade are associated (or correlated) with Low Duration. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Low Duration has no effect on the direction of Vanguard Short i.e., Vanguard Short and Low Duration go up and down completely randomly.
Pair Corralation between Vanguard Short and Low Duration
Assuming the 90 days horizon Vanguard Short Term Investment Grade is expected to generate 1.38 times more return on investment than Low Duration. However, Vanguard Short is 1.38 times more volatile than Low Duration Fund. It trades about 0.02 of its potential returns per unit of risk. Low Duration Fund is currently generating about 0.02 per unit of risk. If you would invest 1,034 in Vanguard Short Term Investment Grade on September 3, 2024 and sell it today you would earn a total of 2.00 from holding Vanguard Short Term Investment Grade or generate 0.19% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Vanguard Short Term Investment vs. Low Duration Fund
Performance |
Timeline |
Vanguard Short Term |
Low Duration |
Vanguard Short and Low Duration Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Vanguard Short and Low Duration
The main advantage of trading using opposite Vanguard Short and Low Duration positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Vanguard Short position performs unexpectedly, Low Duration 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 Low Duration will offset losses from the drop in Low Duration's long position.Vanguard Short vs. Vanguard Intermediate Term Investment Grade | Vanguard Short vs. Vanguard Total International | Vanguard Short vs. Vanguard High Yield Corporate | Vanguard Short vs. Vanguard Gnma 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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