Correlation Between Jennison Natural and Litman Gregory
Can any of the company-specific risk be diversified away by investing in both Jennison Natural and Litman Gregory 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 Litman Gregory 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 Litman Gregory Masters, you can compare the effects of market volatilities on Jennison Natural and Litman Gregory 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 Litman Gregory. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jennison Natural and Litman Gregory.
Diversification Opportunities for Jennison Natural and Litman Gregory
-0.23 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Jennison and LITMAN is -0.23. Overlapping area represents the amount of risk that can be diversified away by holding Jennison Natural Resources and Litman Gregory Masters in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Litman Gregory Masters 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 Litman Gregory. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Litman Gregory Masters has no effect on the direction of Jennison Natural i.e., Jennison Natural and Litman Gregory go up and down completely randomly.
Pair Corralation between Jennison Natural and Litman Gregory
Assuming the 90 days horizon Jennison Natural Resources is expected to generate 4.33 times more return on investment than Litman Gregory. However, Jennison Natural is 4.33 times more volatile than Litman Gregory Masters. It trades about 0.52 of its potential returns per unit of risk. Litman Gregory Masters is currently generating about 0.14 per unit of risk. If you would invest 3,925 in Jennison Natural Resources on October 25, 2024 and sell it today you would earn a total of 271.00 from holding Jennison Natural Resources or generate 6.9% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Jennison Natural Resources vs. Litman Gregory Masters
Performance |
Timeline |
Jennison Natural Res |
Litman Gregory Masters |
Jennison Natural and Litman Gregory Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jennison Natural and Litman Gregory
The main advantage of trading using opposite Jennison Natural and Litman Gregory positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jennison Natural position performs unexpectedly, Litman Gregory 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 Litman Gregory will offset losses from the drop in Litman Gregory's long position.Jennison Natural vs. Kinetics Small Cap | Jennison Natural vs. Ab Small Cap | Jennison Natural vs. Needham Small Cap | Jennison Natural vs. Artisan Small Cap |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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