Correlation Between Loomis Sayles and Pimco Income
Can any of the company-specific risk be diversified away by investing in both Loomis Sayles and Pimco Income 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 Loomis Sayles and Pimco Income into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Loomis Sayles Bond and Pimco Income Fund, you can compare the effects of market volatilities on Loomis Sayles and Pimco Income 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 Loomis Sayles with a short position of Pimco Income. Check out your portfolio center. Please also check ongoing floating volatility patterns of Loomis Sayles and Pimco Income.
Diversification Opportunities for Loomis Sayles and Pimco Income
0.86 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Loomis and Pimco is 0.86. Overlapping area represents the amount of risk that can be diversified away by holding Loomis Sayles Bond and Pimco Income Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pimco Income and Loomis Sayles 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 Loomis Sayles Bond are associated (or correlated) with Pimco Income. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pimco Income has no effect on the direction of Loomis Sayles i.e., Loomis Sayles and Pimco Income go up and down completely randomly.
Pair Corralation between Loomis Sayles and Pimco Income
Assuming the 90 days horizon Loomis Sayles is expected to generate 1.66 times less return on investment than Pimco Income. In addition to that, Loomis Sayles is 1.2 times more volatile than Pimco Income Fund. It trades about 0.07 of its total potential returns per unit of risk. Pimco Income Fund is currently generating about 0.14 per unit of volatility. If you would invest 1,061 in Pimco Income Fund on September 12, 2024 and sell it today you would earn a total of 6.00 from holding Pimco Income Fund or generate 0.57% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Loomis Sayles Bond vs. Pimco Income Fund
Performance |
Timeline |
Loomis Sayles Bond |
Pimco Income |
Loomis Sayles and Pimco Income Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Loomis Sayles and Pimco Income
The main advantage of trading using opposite Loomis Sayles and Pimco Income positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Loomis Sayles position performs unexpectedly, Pimco Income 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 Income will offset losses from the drop in Pimco Income's long position.Loomis Sayles vs. Pimco Income Fund | Loomis Sayles vs. Pimco Income Fund | Loomis Sayles vs. Pimco Incme Fund | Loomis Sayles vs. Pimco Income Fund |
Pimco Income vs. Vanguard Financials Index | Pimco Income vs. Blackrock Financial Institutions | Pimco Income vs. Goldman Sachs Financial | Pimco Income vs. Angel Oak Financial |
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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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