Correlation Between Prudential Qma and First Investors
Can any of the company-specific risk be diversified away by investing in both Prudential Qma and First Investors 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 Prudential Qma and First Investors into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Prudential Qma Large Cap and First Investors Growth, you can compare the effects of market volatilities on Prudential Qma and First Investors 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 Prudential Qma with a short position of First Investors. Check out your portfolio center. Please also check ongoing floating volatility patterns of Prudential Qma and First Investors.
Diversification Opportunities for Prudential Qma and First Investors
0.64 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Prudential and First is 0.64. Overlapping area represents the amount of risk that can be diversified away by holding Prudential Qma Large Cap and First Investors Growth in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on First Investors Growth and Prudential Qma 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 Prudential Qma Large Cap are associated (or correlated) with First Investors. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of First Investors Growth has no effect on the direction of Prudential Qma i.e., Prudential Qma and First Investors go up and down completely randomly.
Pair Corralation between Prudential Qma and First Investors
Assuming the 90 days horizon Prudential Qma Large Cap is expected to generate 0.99 times more return on investment than First Investors. However, Prudential Qma Large Cap is 1.01 times less risky than First Investors. It trades about 0.25 of its potential returns per unit of risk. First Investors Growth is currently generating about 0.24 per unit of risk. If you would invest 2,178 in Prudential Qma Large Cap on May 26, 2025 and sell it today you would earn a total of 218.00 from holding Prudential Qma Large Cap or generate 10.01% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Prudential Qma Large Cap vs. First Investors Growth
Performance |
Timeline |
Prudential Qma Large |
First Investors Growth |
Prudential Qma and First Investors Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Prudential Qma and First Investors
The main advantage of trading using opposite Prudential Qma and First Investors positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Prudential Qma position performs unexpectedly, First Investors 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 First Investors will offset losses from the drop in First Investors' long position.Prudential Qma vs. Jpmorgan International Value | Prudential Qma vs. Jpmorgan Mid Cap | Prudential Qma vs. Jpmorgan Equity Fund | Prudential Qma vs. Eaton Vance Large 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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