Correlation Between Fastly and RBC Quant
Can any of the company-specific risk be diversified away by investing in both Fastly and RBC Quant 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 Fastly and RBC Quant into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Fastly Class A and RBC Quant EAFE, you can compare the effects of market volatilities on Fastly and RBC Quant 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 Fastly with a short position of RBC Quant. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fastly and RBC Quant.
Diversification Opportunities for Fastly and RBC Quant
Good diversification
The 3 months correlation between Fastly and RBC is -0.18. Overlapping area represents the amount of risk that can be diversified away by holding Fastly Class A and RBC Quant EAFE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on RBC Quant EAFE and Fastly 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 Fastly Class A are associated (or correlated) with RBC Quant. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of RBC Quant EAFE has no effect on the direction of Fastly i.e., Fastly and RBC Quant go up and down completely randomly.
Pair Corralation between Fastly and RBC Quant
Given the investment horizon of 90 days Fastly Class A is expected to generate 12.3 times more return on investment than RBC Quant. However, Fastly is 12.3 times more volatile than RBC Quant EAFE. It trades about 0.13 of its potential returns per unit of risk. RBC Quant EAFE is currently generating about 0.24 per unit of risk. If you would invest 1,049 in Fastly Class A on November 18, 2025 and sell it today you would earn a total of 777.00 from holding Fastly Class A or generate 74.07% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 98.39% |
| Values | Daily Returns |
Fastly Class A vs. RBC Quant EAFE
Performance |
| Timeline |
| Fastly Class A |
| RBC Quant EAFE |
Fastly and RBC Quant Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Fastly and RBC Quant
The main advantage of trading using opposite Fastly and RBC Quant positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fastly position performs unexpectedly, RBC Quant 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 RBC Quant will offset losses from the drop in RBC Quant's long position.The idea behind Fastly Class A and RBC Quant EAFE 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.| RBC Quant vs. RBC Quant EAFE | RBC Quant vs. Purpose Enhanced Dividend | RBC Quant vs. Global X SPTSX | RBC Quant vs. RBC Quant Dividend |
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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