Correlation Between Pgim Jennison and Mesirow Financial
Can any of the company-specific risk be diversified away by investing in both Pgim Jennison and Mesirow Financial 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 Pgim Jennison and Mesirow Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Pgim Jennison Technology and Mesirow Financial Small, you can compare the effects of market volatilities on Pgim Jennison and Mesirow Financial 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 Pgim Jennison with a short position of Mesirow Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Pgim Jennison and Mesirow Financial.
Diversification Opportunities for Pgim Jennison and Mesirow Financial
0.39 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Pgim and Mesirow is 0.39. Overlapping area represents the amount of risk that can be diversified away by holding Pgim Jennison Technology and Mesirow Financial Small in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mesirow Financial Small and Pgim Jennison 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 Pgim Jennison Technology are associated (or correlated) with Mesirow Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mesirow Financial Small has no effect on the direction of Pgim Jennison i.e., Pgim Jennison and Mesirow Financial go up and down completely randomly.
Pair Corralation between Pgim Jennison and Mesirow Financial
Assuming the 90 days horizon Pgim Jennison Technology is expected to generate 1.3 times more return on investment than Mesirow Financial. However, Pgim Jennison is 1.3 times more volatile than Mesirow Financial Small. It trades about 0.11 of its potential returns per unit of risk. Mesirow Financial Small is currently generating about 0.03 per unit of risk. If you would invest 1,241 in Pgim Jennison Technology on September 30, 2024 and sell it today you would earn a total of 1,484 from holding Pgim Jennison Technology or generate 119.58% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Pgim Jennison Technology vs. Mesirow Financial Small
Performance |
Timeline |
Pgim Jennison Technology |
Mesirow Financial Small |
Pgim Jennison and Mesirow Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Pgim Jennison and Mesirow Financial
The main advantage of trading using opposite Pgim Jennison and Mesirow Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pgim Jennison position performs unexpectedly, Mesirow Financial 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 Mesirow Financial will offset losses from the drop in Mesirow Financial's long position.Pgim Jennison vs. Mesirow Financial Small | Pgim Jennison vs. Gabelli Global Financial | Pgim Jennison vs. John Hancock Financial | Pgim Jennison vs. Goldman Sachs 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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