Correlation Between Bank of Montreal and GraniteShares 15x
Can any of the company-specific risk be diversified away by investing in both Bank of Montreal and GraniteShares 15x 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 Bank of Montreal and GraniteShares 15x into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bank of Montreal and GraniteShares 15x Long, you can compare the effects of market volatilities on Bank of Montreal and GraniteShares 15x 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 Bank of Montreal with a short position of GraniteShares 15x. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of Montreal and GraniteShares 15x.
Diversification Opportunities for Bank of Montreal and GraniteShares 15x
0.45 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Bank and GraniteShares is 0.45. Overlapping area represents the amount of risk that can be diversified away by holding Bank of Montreal and GraniteShares 15x Long in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GraniteShares 15x Long and Bank of Montreal 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 Bank of Montreal are associated (or correlated) with GraniteShares 15x. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GraniteShares 15x Long has no effect on the direction of Bank of Montreal i.e., Bank of Montreal and GraniteShares 15x go up and down completely randomly.
Pair Corralation between Bank of Montreal and GraniteShares 15x
Given the investment horizon of 90 days Bank of Montreal is expected to generate 0.58 times more return on investment than GraniteShares 15x. However, Bank of Montreal is 1.74 times less risky than GraniteShares 15x. It trades about -0.05 of its potential returns per unit of risk. GraniteShares 15x Long is currently generating about -0.07 per unit of risk. If you would invest 2,612 in Bank of Montreal on December 30, 2024 and sell it today you would lose (252.00) from holding Bank of Montreal or give up 9.65% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 45.16% |
Values | Daily Returns |
Bank of Montreal vs. GraniteShares 15x Long
Performance |
Timeline |
Bank of Montreal |
GraniteShares 15x Long |
Bank of Montreal and GraniteShares 15x Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of Montreal and GraniteShares 15x
The main advantage of trading using opposite Bank of Montreal and GraniteShares 15x positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of Montreal position performs unexpectedly, GraniteShares 15x 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 GraniteShares 15x will offset losses from the drop in GraniteShares 15x's long position.Bank of Montreal vs. Bank of Montreal | Bank of Montreal vs. Bank of Montreal | Bank of Montreal vs. MicroSectors Solactive FANG | Bank of Montreal vs. Direxion Daily Regional |
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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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