Correlation Between Sentinel Small and Pimco Rae
Can any of the company-specific risk be diversified away by investing in both Sentinel Small and Pimco Rae 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 Sentinel Small and Pimco Rae into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sentinel Small Pany and Pimco Rae Worldwide, you can compare the effects of market volatilities on Sentinel Small and Pimco Rae 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 Sentinel Small with a short position of Pimco Rae. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sentinel Small and Pimco Rae.
Diversification Opportunities for Sentinel Small and Pimco Rae
0.38 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Sentinel and Pimco is 0.38. Overlapping area represents the amount of risk that can be diversified away by holding Sentinel Small Pany and Pimco Rae Worldwide in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pimco Rae Worldwide and Sentinel Small 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 Sentinel Small Pany are associated (or correlated) with Pimco Rae. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pimco Rae Worldwide has no effect on the direction of Sentinel Small i.e., Sentinel Small and Pimco Rae go up and down completely randomly.
Pair Corralation between Sentinel Small and Pimco Rae
Assuming the 90 days horizon Sentinel Small Pany is expected to generate 4.14 times more return on investment than Pimco Rae. However, Sentinel Small is 4.14 times more volatile than Pimco Rae Worldwide. It trades about 0.3 of its potential returns per unit of risk. Pimco Rae Worldwide is currently generating about 0.3 per unit of risk. If you would invest 717.00 in Sentinel Small Pany on September 4, 2024 and sell it today you would earn a total of 63.00 from holding Sentinel Small Pany or generate 8.79% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 95.24% |
| Values | Daily Returns |
Sentinel Small Pany vs. Pimco Rae Worldwide
Performance |
| Timeline |
| Sentinel Small Pany |
| Pimco Rae Worldwide |
Sentinel Small and Pimco Rae Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Sentinel Small and Pimco Rae
The main advantage of trading using opposite Sentinel Small and Pimco Rae positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sentinel Small position performs unexpectedly, Pimco Rae 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 Rae will offset losses from the drop in Pimco Rae's long position.| Sentinel Small vs. Gmo Resources | Sentinel Small vs. World Energy Fund | Sentinel Small vs. Oil Gas Ultrasector | Sentinel Small vs. Goehring Rozencwajg Resources |
| Pimco Rae vs. Blackrock Sm Cap | Pimco Rae vs. Sentinel Small Pany | Pimco Rae vs. Jhancock Diversified Macro | Pimco Rae vs. T Rowe Price |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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