Correlation Between HP and PIMCO RAFI
Can any of the company-specific risk be diversified away by investing in both HP and PIMCO RAFI 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 HP and PIMCO RAFI into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between HP Inc and PIMCO RAFI Dynamic, you can compare the effects of market volatilities on HP and PIMCO RAFI 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 HP with a short position of PIMCO RAFI. Check out your portfolio center. Please also check ongoing floating volatility patterns of HP and PIMCO RAFI.
Diversification Opportunities for HP and PIMCO RAFI
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between HP and PIMCO is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding HP Inc and PIMCO RAFI Dynamic in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PIMCO RAFI Dynamic and HP 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 HP Inc are associated (or correlated) with PIMCO RAFI. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PIMCO RAFI Dynamic has no effect on the direction of HP i.e., HP and PIMCO RAFI go up and down completely randomly.
Pair Corralation between HP and PIMCO RAFI
Considering the 90-day investment horizon HP Inc is expected to generate 2.4 times more return on investment than PIMCO RAFI. However, HP is 2.4 times more volatile than PIMCO RAFI Dynamic. It trades about 0.04 of its potential returns per unit of risk. PIMCO RAFI Dynamic is currently generating about 0.09 per unit of risk. If you would invest 2,717 in HP Inc on September 3, 2024 and sell it today you would earn a total of 826.00 from holding HP Inc or generate 30.4% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
HP Inc vs. PIMCO RAFI Dynamic
Performance |
| Timeline |
| HP Inc |
| PIMCO RAFI Dynamic |
HP and PIMCO RAFI Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with HP and PIMCO RAFI
The main advantage of trading using opposite HP and PIMCO RAFI positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if HP position performs unexpectedly, PIMCO RAFI 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 PIMCO RAFI will offset losses from the drop in PIMCO RAFI's long position.The idea behind HP Inc and PIMCO RAFI Dynamic 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.| PIMCO RAFI vs. Global X Funds | PIMCO RAFI vs. Dell Technologies | PIMCO RAFI vs. Juniper Networks | PIMCO RAFI vs. HUMANA INC |
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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