Correlation Between Us Government and Pimco High
Can any of the company-specific risk be diversified away by investing in both Us Government and Pimco High 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 Us Government and Pimco High into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Us Government Securities and Pimco High Yield, you can compare the effects of market volatilities on Us Government and Pimco High 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 Us Government with a short position of Pimco High. Check out your portfolio center. Please also check ongoing floating volatility patterns of Us Government and Pimco High.
Diversification Opportunities for Us Government and Pimco High
0.84 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between UGSDX and Pimco is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding Us Government Securities and Pimco High Yield in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pimco High Yield and Us Government 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 Us Government Securities are associated (or correlated) with Pimco High. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pimco High Yield has no effect on the direction of Us Government i.e., Us Government and Pimco High go up and down completely randomly.
Pair Corralation between Us Government and Pimco High
Assuming the 90 days horizon Us Government is expected to generate 3.62 times less return on investment than Pimco High. But when comparing it to its historical volatility, Us Government Securities is 2.13 times less risky than Pimco High. It trades about 0.18 of its potential returns per unit of risk. Pimco High Yield is currently generating about 0.31 of returns per unit of risk over similar time horizon. If you would invest 898.00 in Pimco High Yield on May 9, 2025 and sell it today you would earn a total of 34.00 from holding Pimco High Yield or generate 3.79% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Us Government Securities vs. Pimco High Yield
Performance |
Timeline |
Us Government Securities |
Pimco High Yield |
Us Government and Pimco High Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Us Government and Pimco High
The main advantage of trading using opposite Us Government and Pimco High positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Us Government position performs unexpectedly, Pimco High 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 High will offset losses from the drop in Pimco High's long position.Us Government vs. John Hancock Financial | Us Government vs. Prudential Financial Services | Us Government vs. Gabelli Global Financial | Us Government vs. Blackrock Financial Institutions |
Pimco High vs. Legg Mason Global | Pimco High vs. Calamos Global Growth | Pimco High vs. Qs Global Equity | Pimco High vs. Morningstar Global Income |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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