Correlation Between Long-term and Pimco Stocksplus
Can any of the company-specific risk be diversified away by investing in both Long-term 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 Long-term and Pimco Stocksplus into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Long Term Government Fund and Pimco Stocksplus Short, you can compare the effects of market volatilities on Long-term 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 Long-term with a short position of Pimco Stocksplus. Check out your portfolio center. Please also check ongoing floating volatility patterns of Long-term and Pimco Stocksplus.
Diversification Opportunities for Long-term and Pimco Stocksplus
0.64 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Long-term and Pimco is 0.64. Overlapping area represents the amount of risk that can be diversified away by holding Long Term Government Fund 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 Long-term 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 Long Term Government Fund 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 Long-term i.e., Long-term and Pimco Stocksplus go up and down completely randomly.
Pair Corralation between Long-term and Pimco Stocksplus
Assuming the 90 days horizon Long-term is expected to generate 1.5 times less return on investment than Pimco Stocksplus. But when comparing it to its historical volatility, Long Term Government Fund is 1.35 times less risky than Pimco Stocksplus. It trades about 0.09 of its potential returns per unit of risk. Pimco Stocksplus Short is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 705.00 in Pimco Stocksplus Short on December 30, 2024 and sell it today you would earn a total of 42.00 from holding Pimco Stocksplus Short or generate 5.96% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Long Term Government Fund vs. Pimco Stocksplus Short
Performance |
Timeline |
Long Term Government |
Pimco Stocksplus Short |
Long-term and Pimco Stocksplus Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Long-term and Pimco Stocksplus
The main advantage of trading using opposite Long-term and Pimco Stocksplus positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Long-term 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.Long-term vs. Great West Inflation Protected Securities | Long-term vs. Ab Bond Inflation | Long-term vs. Ab Bond Inflation | Long-term vs. Simt Multi Asset Inflation |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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