Correlation Between Dow Jones and PGIM Large
Can any of the company-specific risk be diversified away by investing in both Dow Jones and PGIM Large 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 Dow Jones and PGIM Large into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dow Jones Industrial and PGIM Large Cap Buffer, you can compare the effects of market volatilities on Dow Jones and PGIM Large 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 Dow Jones with a short position of PGIM Large. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and PGIM Large.
Diversification Opportunities for Dow Jones and PGIM Large
0.96 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Dow and PGIM is 0.96. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and PGIM Large Cap Buffer in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PGIM Large Cap and Dow Jones 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 Dow Jones Industrial are associated (or correlated) with PGIM Large. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PGIM Large Cap has no effect on the direction of Dow Jones i.e., Dow Jones and PGIM Large go up and down completely randomly.
Pair Corralation between Dow Jones and PGIM Large
Assuming the 90 days trading horizon Dow Jones Industrial is expected to generate 1.95 times more return on investment than PGIM Large. However, Dow Jones is 1.95 times more volatile than PGIM Large Cap Buffer. It trades about 0.05 of its potential returns per unit of risk. PGIM Large Cap Buffer is currently generating about 0.08 per unit of risk. If you would invest 4,200,176 in Dow Jones Industrial on March 31, 2025 and sell it today you would earn a total of 181,751 from holding Dow Jones Industrial or generate 4.33% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Dow Jones Industrial vs. PGIM Large Cap Buffer
Performance |
| Timeline |
Dow Jones and PGIM Large Volatility Contrast
Predicted Return Density |
| Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
PGIM Large Cap Buffer
Pair trading matchups for PGIM Large
Pair Trading with Dow Jones and PGIM Large
The main advantage of trading using opposite Dow Jones and PGIM Large positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, PGIM Large 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 Large will offset losses from the drop in PGIM Large's long position.| Dow Jones vs. Steven Madden | Dow Jones vs. Titan America SA | Dow Jones vs. Highway Holdings Limited | Dow Jones vs. United Guardian |
| PGIM Large vs. FT Vest Equity | PGIM Large vs. Northern Lights | PGIM Large vs. Dimensional International High | PGIM Large vs. JPMorgan Fundamental Data |
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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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