Correlation Between RBC Quant and Dow Jones
Can any of the company-specific risk be diversified away by investing in both RBC Quant and Dow Jones 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 RBC Quant and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between RBC Quant European and Dow Jones Industrial, you can compare the effects of market volatilities on RBC Quant and Dow Jones 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 RBC Quant with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of RBC Quant and Dow Jones.
Diversification Opportunities for RBC Quant and Dow Jones
Excellent diversification
The 3 months correlation between RBC and Dow is -0.58. Overlapping area represents the amount of risk that can be diversified away by holding RBC Quant European and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial and RBC Quant 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 RBC Quant European are associated (or correlated) with Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of RBC Quant i.e., RBC Quant and Dow Jones go up and down completely randomly.
Pair Corralation between RBC Quant and Dow Jones
Assuming the 90 days trading horizon RBC Quant European is expected to under-perform the Dow Jones. But the etf apears to be less risky and, when comparing its historical volatility, RBC Quant European is 1.47 times less risky than Dow Jones. The etf trades about -0.07 of its potential returns per unit of risk. The Dow Jones Industrial is currently generating about 0.37 of returns per unit of risk over similar time horizon. If you would invest 4,176,346 in Dow Jones Industrial on September 1, 2024 and sell it today you would earn a total of 314,719 from holding Dow Jones Industrial or generate 7.54% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 95.45% |
| Values | Daily Returns |
RBC Quant European vs. Dow Jones Industrial
Performance |
| Timeline |
RBC Quant and Dow Jones Volatility Contrast
Predicted Return Density |
| Returns |
RBC Quant European
Pair trading matchups for RBC Quant
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with RBC Quant and Dow Jones
The main advantage of trading using opposite RBC Quant and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if RBC Quant position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.| RBC Quant vs. BMO Europe High | RBC Quant vs. BMO High Dividend | RBC Quant vs. BMO Covered Call | RBC Quant vs. BMO Global High |
| Dow Jones vs. Catalyst Pharmaceuticals | Dow Jones vs. Sphere Entertainment Co | Dow Jones vs. National CineMedia | Dow Jones vs. Mink Therapeutics |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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