Correlation Between Jennison Natural and Growth Strategy
Can any of the company-specific risk be diversified away by investing in both Jennison Natural and Growth Strategy 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 Jennison Natural and Growth Strategy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Jennison Natural Resources and Growth Strategy Fund, you can compare the effects of market volatilities on Jennison Natural and Growth Strategy 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 Jennison Natural with a short position of Growth Strategy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jennison Natural and Growth Strategy.
Diversification Opportunities for Jennison Natural and Growth Strategy
0.62 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Jennison and Growth is 0.62. Overlapping area represents the amount of risk that can be diversified away by holding Jennison Natural Resources and Growth Strategy Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Growth Strategy and Jennison Natural 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 Jennison Natural Resources are associated (or correlated) with Growth Strategy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Growth Strategy has no effect on the direction of Jennison Natural i.e., Jennison Natural and Growth Strategy go up and down completely randomly.
Pair Corralation between Jennison Natural and Growth Strategy
Assuming the 90 days horizon Jennison Natural Resources is expected to generate 2.22 times more return on investment than Growth Strategy. However, Jennison Natural is 2.22 times more volatile than Growth Strategy Fund. It trades about 0.08 of its potential returns per unit of risk. Growth Strategy Fund is currently generating about 0.14 per unit of risk. If you would invest 3,978 in Jennison Natural Resources on September 12, 2024 and sell it today you would earn a total of 198.00 from holding Jennison Natural Resources or generate 4.98% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.44% |
Values | Daily Returns |
Jennison Natural Resources vs. Growth Strategy Fund
Performance |
Timeline |
Jennison Natural Res |
Growth Strategy |
Jennison Natural and Growth Strategy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jennison Natural and Growth Strategy
The main advantage of trading using opposite Jennison Natural and Growth Strategy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jennison Natural position performs unexpectedly, Growth Strategy 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 Growth Strategy will offset losses from the drop in Growth Strategy's long position.Jennison Natural vs. T Rowe Price | Jennison Natural vs. Gmo Trust | Jennison Natural vs. Gmo Resources | Jennison Natural vs. Materials Portfolio Fidelity |
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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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