Correlation Between Loomis Sayles and Gateway Fund
Can any of the company-specific risk be diversified away by investing in both Loomis Sayles and Gateway Fund 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 Gateway Fund 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 Gateway Fund Class, you can compare the effects of market volatilities on Loomis Sayles and Gateway Fund 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 Gateway Fund. Check out your portfolio center. Please also check ongoing floating volatility patterns of Loomis Sayles and Gateway Fund.
Diversification Opportunities for Loomis Sayles and Gateway Fund
0.93 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Loomis and Gateway is 0.93. Overlapping area represents the amount of risk that can be diversified away by holding Loomis Sayles Growth and Gateway Fund Class in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gateway Fund Class 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 Gateway Fund. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gateway Fund Class has no effect on the direction of Loomis Sayles i.e., Loomis Sayles and Gateway Fund go up and down completely randomly.
Pair Corralation between Loomis Sayles and Gateway Fund
Assuming the 90 days horizon Loomis Sayles Growth is expected to under-perform the Gateway Fund. In addition to that, Loomis Sayles is 3.5 times more volatile than Gateway Fund Class. It trades about -0.16 of its total potential returns per unit of risk. Gateway Fund Class is currently generating about -0.11 per unit of volatility. If you would invest 4,723 in Gateway Fund Class on October 11, 2024 and sell it today you would lose (71.00) from holding Gateway Fund Class or give up 1.5% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Loomis Sayles Growth vs. Gateway Fund Class
Performance |
Timeline |
Loomis Sayles Growth |
Gateway Fund Class |
Loomis Sayles and Gateway Fund Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Loomis Sayles and Gateway Fund
The main advantage of trading using opposite Loomis Sayles and Gateway Fund positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Loomis Sayles position performs unexpectedly, Gateway Fund 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 Gateway Fund will offset losses from the drop in Gateway Fund's long position.Loomis Sayles vs. Diamond Hill Large | Loomis Sayles vs. Loomis Sayles Growth | Loomis Sayles vs. Loomis Sayles Growth | Loomis Sayles vs. Natixis Equity Opportunities |
Gateway Fund vs. Alger Health Sciences | Gateway Fund vs. Deutsche Health And | Gateway Fund vs. The Hartford Healthcare | Gateway Fund vs. Fidelity Advisor Health |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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