Correlation Between SPDR Bloomberg and PGIM Short
Can any of the company-specific risk be diversified away by investing in both SPDR Bloomberg and PGIM Short 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 SPDR Bloomberg and PGIM Short into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SPDR Bloomberg High and PGIM Short Duration, you can compare the effects of market volatilities on SPDR Bloomberg and PGIM Short 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 SPDR Bloomberg with a short position of PGIM Short. Check out your portfolio center. Please also check ongoing floating volatility patterns of SPDR Bloomberg and PGIM Short.
Diversification Opportunities for SPDR Bloomberg and PGIM Short
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between SPDR and PGIM is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding SPDR Bloomberg High and PGIM Short Duration in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PGIM Short Duration and SPDR Bloomberg 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 SPDR Bloomberg High are associated (or correlated) with PGIM Short. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PGIM Short Duration has no effect on the direction of SPDR Bloomberg i.e., SPDR Bloomberg and PGIM Short go up and down completely randomly.
Pair Corralation between SPDR Bloomberg and PGIM Short
Considering the 90-day investment horizon SPDR Bloomberg is expected to generate 1.32 times less return on investment than PGIM Short. In addition to that, SPDR Bloomberg is 1.57 times more volatile than PGIM Short Duration. It trades about 0.06 of its total potential returns per unit of risk. PGIM Short Duration is currently generating about 0.13 per unit of volatility. If you would invest 4,962 in PGIM Short Duration on December 26, 2024 and sell it today you would earn a total of 67.08 from holding PGIM Short Duration or generate 1.35% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
SPDR Bloomberg High vs. PGIM Short Duration
Performance |
Timeline |
SPDR Bloomberg High |
PGIM Short Duration |
SPDR Bloomberg and PGIM Short Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SPDR Bloomberg and PGIM Short
The main advantage of trading using opposite SPDR Bloomberg and PGIM Short positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SPDR Bloomberg position performs unexpectedly, PGIM Short 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 Short will offset losses from the drop in PGIM Short's long position.SPDR Bloomberg vs. iShares iBoxx High | SPDR Bloomberg vs. iShares iBoxx Investment | SPDR Bloomberg vs. iShares JP Morgan | SPDR Bloomberg vs. iShares TIPS Bond |
PGIM Short vs. BondBloxx ETF Trust | PGIM Short vs. Virtus ETF Trust | PGIM Short vs. Ocean Park High | PGIM Short vs. TCW ETF Trust |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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