Correlation Between Loomis Sayles and Holbrook Structured
Can any of the company-specific risk be diversified away by investing in both Loomis Sayles and Holbrook Structured 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 Holbrook Structured into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Loomis Sayles Growth and Holbrook Structured Income, you can compare the effects of market volatilities on Loomis Sayles and Holbrook Structured 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 Holbrook Structured. Check out your portfolio center. Please also check ongoing floating volatility patterns of Loomis Sayles and Holbrook Structured.
Diversification Opportunities for Loomis Sayles and Holbrook Structured
0.77 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Loomis and Holbrook is 0.77. Overlapping area represents the amount of risk that can be diversified away by holding Loomis Sayles Growth and Holbrook Structured Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Holbrook Structured 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 Growth are associated (or correlated) with Holbrook Structured. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Holbrook Structured has no effect on the direction of Loomis Sayles i.e., Loomis Sayles and Holbrook Structured go up and down completely randomly.
Pair Corralation between Loomis Sayles and Holbrook Structured
Assuming the 90 days horizon Loomis Sayles Growth is expected to under-perform the Holbrook Structured. In addition to that, Loomis Sayles is 96.32 times more volatile than Holbrook Structured Income. It trades about -0.12 of its total potential returns per unit of risk. Holbrook Structured Income is currently generating about -0.22 per unit of volatility. If you would invest 984.00 in Holbrook Structured Income on October 6, 2024 and sell it today you would lose (1.00) from holding Holbrook Structured Income or give up 0.1% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 95.24% |
Values | Daily Returns |
Loomis Sayles Growth vs. Holbrook Structured Income
Performance |
Timeline |
Loomis Sayles Growth |
Holbrook Structured |
Loomis Sayles and Holbrook Structured Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Loomis Sayles and Holbrook Structured
The main advantage of trading using opposite Loomis Sayles and Holbrook Structured positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Loomis Sayles position performs unexpectedly, Holbrook Structured 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 Holbrook Structured will offset losses from the drop in Holbrook Structured's long position.Loomis Sayles vs. Loomis Sayles Growth | Loomis Sayles vs. Loomis Sayles Growth | Loomis Sayles vs. Diamond Hill Large | Loomis Sayles vs. Loomis Sayles Growth |
Holbrook Structured vs. Holbrook Income Fund | Holbrook Structured vs. Holbrook Income Fund | Holbrook Structured vs. Holbrook Structured Income | Holbrook Structured vs. Holbrook Structured 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 Portfolio File Import module to quickly import all of your third-party portfolios from your local drive in csv format.
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