Correlation Between Growth Strategy and Short Duration
Can any of the company-specific risk be diversified away by investing in both Growth Strategy and Short 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 Growth Strategy and Short Duration into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Growth Strategy Fund and Short Duration Bond, you can compare the effects of market volatilities on Growth Strategy and Short 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 Growth Strategy with a short position of Short Duration. Check out your portfolio center. Please also check ongoing floating volatility patterns of Growth Strategy and Short Duration.
Diversification Opportunities for Growth Strategy and Short Duration
-0.08 | Correlation Coefficient |
Good diversification
The 3 months correlation between Growth and SHORT is -0.08. Overlapping area represents the amount of risk that can be diversified away by holding Growth Strategy Fund and Short Duration Bond in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Short Duration Bond and Growth Strategy 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 Growth Strategy Fund are associated (or correlated) with Short Duration. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Short Duration Bond has no effect on the direction of Growth Strategy i.e., Growth Strategy and Short Duration go up and down completely randomly.
Pair Corralation between Growth Strategy and Short Duration
Assuming the 90 days horizon Growth Strategy is expected to generate 5.2 times less return on investment than Short Duration. In addition to that, Growth Strategy is 7.73 times more volatile than Short Duration Bond. It trades about 0.01 of its total potential returns per unit of risk. Short Duration Bond is currently generating about 0.3 per unit of volatility. If you would invest 1,852 in Short Duration Bond on December 29, 2024 and sell it today you would earn a total of 32.00 from holding Short Duration Bond or generate 1.73% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Growth Strategy Fund vs. Short Duration Bond
Performance |
Timeline |
Growth Strategy |
Short Duration Bond |
Growth Strategy and Short Duration Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Growth Strategy and Short Duration
The main advantage of trading using opposite Growth Strategy and Short Duration positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Growth Strategy position performs unexpectedly, Short 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 Short Duration will offset losses from the drop in Short Duration's long position.Growth Strategy vs. Blackrock Financial Institutions | Growth Strategy vs. Rmb Mendon Financial | Growth Strategy vs. Transamerica Financial Life | Growth Strategy vs. Rmb Mendon Financial |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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