Correlation Between Inverse Dow and Pimco Stocksplus
Can any of the company-specific risk be diversified away by investing in both Inverse Dow and Pimco Stocksplus 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 Inverse Dow and Pimco Stocksplus into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Inverse Dow 2x and Pimco Stocksplus Short, you can compare the effects of market volatilities on Inverse Dow and Pimco Stocksplus 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 Inverse Dow with a short position of Pimco Stocksplus. Check out your portfolio center. Please also check ongoing floating volatility patterns of Inverse Dow and Pimco Stocksplus.
Diversification Opportunities for Inverse Dow and Pimco Stocksplus
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Inverse and Pimco is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Inverse Dow 2x and Pimco Stocksplus Short in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pimco Stocksplus Short and Inverse Dow 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 Inverse Dow 2x are associated (or correlated) with Pimco Stocksplus. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pimco Stocksplus Short has no effect on the direction of Inverse Dow i.e., Inverse Dow and Pimco Stocksplus go up and down completely randomly.
Pair Corralation between Inverse Dow and Pimco Stocksplus
Assuming the 90 days horizon Inverse Dow 2x is expected to under-perform the Pimco Stocksplus. In addition to that, Inverse Dow is 1.97 times more volatile than Pimco Stocksplus Short. It trades about -0.06 of its total potential returns per unit of risk. Pimco Stocksplus Short is currently generating about -0.03 per unit of volatility. If you would invest 705.00 in Pimco Stocksplus Short on October 24, 2024 and sell it today you would lose (14.00) from holding Pimco Stocksplus Short or give up 1.99% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Inverse Dow 2x vs. Pimco Stocksplus Short
Performance |
Timeline |
Inverse Dow 2x |
Pimco Stocksplus Short |
Inverse Dow and Pimco Stocksplus Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Inverse Dow and Pimco Stocksplus
The main advantage of trading using opposite Inverse Dow and Pimco Stocksplus positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Inverse Dow position performs unexpectedly, Pimco Stocksplus 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 Stocksplus will offset losses from the drop in Pimco Stocksplus' long position.Inverse Dow vs. Maryland Tax Free Bond | Inverse Dow vs. Leader Short Term Bond | Inverse Dow vs. Nuveen Strategic Municipal | Inverse Dow vs. Old Westbury Municipal |
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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 Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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