Correlation Between Royal Bank and Autocanada
Can any of the company-specific risk be diversified away by investing in both Royal Bank and Autocanada 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 Royal Bank and Autocanada into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Royal Bank of and Autocanada, you can compare the effects of market volatilities on Royal Bank and Autocanada 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 Royal Bank with a short position of Autocanada. Check out your portfolio center. Please also check ongoing floating volatility patterns of Royal Bank and Autocanada.
Diversification Opportunities for Royal Bank and Autocanada
0.72 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Royal and Autocanada is 0.72. Overlapping area represents the amount of risk that can be diversified away by holding Royal Bank of and Autocanada in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Autocanada and Royal Bank 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 Royal Bank of are associated (or correlated) with Autocanada. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Autocanada has no effect on the direction of Royal Bank i.e., Royal Bank and Autocanada go up and down completely randomly.
Pair Corralation between Royal Bank and Autocanada
Assuming the 90 days horizon Royal Bank of is expected to under-perform the Autocanada. But the stock apears to be less risky and, when comparing its historical volatility, Royal Bank of is 2.41 times less risky than Autocanada. The stock trades about -0.07 of its potential returns per unit of risk. The Autocanada is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 1,731 in Autocanada on December 22, 2024 and sell it today you would earn a total of 21.00 from holding Autocanada or generate 1.21% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.39% |
Values | Daily Returns |
Royal Bank of vs. Autocanada
Performance |
Timeline |
Royal Bank |
Autocanada |
Royal Bank and Autocanada Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Royal Bank and Autocanada
The main advantage of trading using opposite Royal Bank and Autocanada positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Royal Bank position performs unexpectedly, Autocanada 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 Autocanada will offset losses from the drop in Autocanada's long position.Royal Bank vs. Toronto Dominion Bank | Royal Bank vs. Bank of Nova | Royal Bank vs. Bank of Montreal | Royal Bank vs. Canadian Imperial Bank |
Autocanada vs. Martinrea International | Autocanada vs. Linamar | Autocanada vs. NFI Group | Autocanada vs. Element Fleet Management |
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 Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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