Correlation Between Old Westbury and Pgim Jennison
Can any of the company-specific risk be diversified away by investing in both Old Westbury and Pgim Jennison 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 Old Westbury and Pgim Jennison into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Old Westbury Large and Pgim Jennison Technology, you can compare the effects of market volatilities on Old Westbury and Pgim Jennison 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 Old Westbury with a short position of Pgim Jennison. Check out your portfolio center. Please also check ongoing floating volatility patterns of Old Westbury and Pgim Jennison.
Diversification Opportunities for Old Westbury and Pgim Jennison
0.62 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Old and Pgim is 0.62. Overlapping area represents the amount of risk that can be diversified away by holding Old Westbury Large and Pgim Jennison Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pgim Jennison Technology and Old Westbury 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 Old Westbury Large are associated (or correlated) with Pgim Jennison. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pgim Jennison Technology has no effect on the direction of Old Westbury i.e., Old Westbury and Pgim Jennison go up and down completely randomly.
Pair Corralation between Old Westbury and Pgim Jennison
Assuming the 90 days horizon Old Westbury Large is expected to under-perform the Pgim Jennison. But the mutual fund apears to be less risky and, when comparing its historical volatility, Old Westbury Large is 1.07 times less risky than Pgim Jennison. The mutual fund trades about -0.26 of its potential returns per unit of risk. The Pgim Jennison Technology is currently generating about -0.12 of returns per unit of risk over similar time horizon. If you would invest 2,703 in Pgim Jennison Technology on October 8, 2024 and sell it today you would lose (105.00) from holding Pgim Jennison Technology or give up 3.88% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Old Westbury Large vs. Pgim Jennison Technology
Performance |
Timeline |
Old Westbury Large |
Pgim Jennison Technology |
Old Westbury and Pgim Jennison Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Old Westbury and Pgim Jennison
The main advantage of trading using opposite Old Westbury and Pgim Jennison positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Old Westbury position performs unexpectedly, Pgim Jennison 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 Pgim Jennison will offset losses from the drop in Pgim Jennison's long position.Old Westbury vs. Massmutual Premier Inflation Protected | Old Westbury vs. Altegris Futures Evolution | Old Westbury vs. Ab Bond Inflation | Old Westbury vs. Cref Inflation Linked Bond |
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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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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