Correlation Between Pace Large and Loomis Sayles
Can any of the company-specific risk be diversified away by investing in both Pace Large and Loomis Sayles 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 Pace Large and Loomis Sayles into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Pace Large Value and Loomis Sayles Bond, you can compare the effects of market volatilities on Pace Large and Loomis Sayles 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 Pace Large with a short position of Loomis Sayles. Check out your portfolio center. Please also check ongoing floating volatility patterns of Pace Large and Loomis Sayles.
Diversification Opportunities for Pace Large and Loomis Sayles
0.61 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Pace and Loomis is 0.61. Overlapping area represents the amount of risk that can be diversified away by holding Pace Large Value and Loomis Sayles Bond in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Loomis Sayles Bond and Pace Large 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 Pace Large Value are associated (or correlated) with Loomis Sayles. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Loomis Sayles Bond has no effect on the direction of Pace Large i.e., Pace Large and Loomis Sayles go up and down completely randomly.
Pair Corralation between Pace Large and Loomis Sayles
Assuming the 90 days horizon Pace Large Value is expected to under-perform the Loomis Sayles. In addition to that, Pace Large is 8.87 times more volatile than Loomis Sayles Bond. It trades about -0.3 of its total potential returns per unit of risk. Loomis Sayles Bond is currently generating about -0.34 per unit of volatility. If you would invest 1,191 in Loomis Sayles Bond on September 28, 2024 and sell it today you would lose (20.00) from holding Loomis Sayles Bond or give up 1.68% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Pace Large Value vs. Loomis Sayles Bond
Performance |
Timeline |
Pace Large Value |
Loomis Sayles Bond |
Pace Large and Loomis Sayles Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Pace Large and Loomis Sayles
The main advantage of trading using opposite Pace Large and Loomis Sayles positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pace Large position performs unexpectedly, Loomis Sayles 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 Loomis Sayles will offset losses from the drop in Loomis Sayles' long position.Pace Large vs. Qs Moderate Growth | Pace Large vs. Sierra E Retirement | Pace Large vs. Deutsche Multi Asset Moderate | Pace Large vs. Dimensional Retirement Income |
Loomis Sayles vs. Loomis Sayles Inflation | Loomis Sayles vs. Loomis Sayles Inflation | Loomis Sayles vs. Loomis Sayles Bond | Loomis Sayles vs. Loomis Sayles Small |
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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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