Correlation Between SPACE and PGIM Large
Can any of the company-specific risk be diversified away by investing in both SPACE 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 SPACE and PGIM Large into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SPACE and PGIM Large Cap Buffer, you can compare the effects of market volatilities on SPACE 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 SPACE with a short position of PGIM Large. Check out your portfolio center. Please also check ongoing floating volatility patterns of SPACE and PGIM Large.
Diversification Opportunities for SPACE and PGIM Large
0.82 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between SPACE and PGIM is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding SPACE 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 SPACE 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 SPACE 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 SPACE i.e., SPACE and PGIM Large go up and down completely randomly.
Pair Corralation between SPACE and PGIM Large
Assuming the 90 days horizon SPACE is expected to generate 12.33 times more return on investment than PGIM Large. However, SPACE is 12.33 times more volatile than PGIM Large Cap Buffer. It trades about 0.37 of its potential returns per unit of risk. PGIM Large Cap Buffer is currently generating about 0.37 per unit of risk. If you would invest 40.00 in SPACE on September 1, 2024 and sell it today you would earn a total of 19.00 from holding SPACE or generate 47.5% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
SPACE vs. PGIM Large Cap Buffer
Performance |
| Timeline |
| SPACE |
| PGIM Large Cap |
SPACE and PGIM Large Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with SPACE and PGIM Large
The main advantage of trading using opposite SPACE and PGIM Large positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SPACE 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.The idea behind SPACE and PGIM Large Cap Buffer pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.| PGIM Large vs. Innovator ETFs Trust | PGIM Large vs. First Trust Cboe | PGIM Large vs. Innovator SP 500 | PGIM Large vs. Innovator Equity Power |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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