Correlation Between Snap and Loomis Sayles
Can any of the company-specific risk be diversified away by investing in both Snap 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 Snap and Loomis Sayles into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Snap Inc and Loomis Sayles High, you can compare the effects of market volatilities on Snap 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 Snap with a short position of Loomis Sayles. Check out your portfolio center. Please also check ongoing floating volatility patterns of Snap and Loomis Sayles.
Diversification Opportunities for Snap and Loomis Sayles
0.76 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Snap and Loomis is 0.76. Overlapping area represents the amount of risk that can be diversified away by holding Snap Inc and Loomis Sayles High in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Loomis Sayles High and Snap 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 Snap Inc 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 High has no effect on the direction of Snap i.e., Snap and Loomis Sayles go up and down completely randomly.
Pair Corralation between Snap and Loomis Sayles
Given the investment horizon of 90 days Snap Inc is expected to generate 13.57 times more return on investment than Loomis Sayles. However, Snap is 13.57 times more volatile than Loomis Sayles High. It trades about 0.03 of its potential returns per unit of risk. Loomis Sayles High is currently generating about 0.13 per unit of risk. If you would invest 945.00 in Snap Inc on August 30, 2024 and sell it today you would earn a total of 216.00 from holding Snap Inc or generate 22.86% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Snap Inc vs. Loomis Sayles High
Performance |
| Timeline |
| Snap Inc |
| Loomis Sayles High |
Snap and Loomis Sayles Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Snap and Loomis Sayles
The main advantage of trading using opposite Snap and Loomis Sayles positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Snap 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.The idea behind Snap Inc and Loomis Sayles High pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.| Loomis Sayles vs. Columbia Global Technology | Loomis Sayles vs. Janus Global Technology | Loomis Sayles vs. Hennessy Technology Fund | Loomis Sayles vs. Dreyfus Technology Growth |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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