Correlation Between Bank of Montreal and ProShares
Can any of the company-specific risk be diversified away by investing in both Bank of Montreal and ProShares 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 ProShares 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 ProShares SP Kensho, you can compare the effects of market volatilities on Bank of Montreal and ProShares 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 ProShares. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of Montreal and ProShares.
Diversification Opportunities for Bank of Montreal and ProShares
0.53 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Bank and ProShares is 0.53. Overlapping area represents the amount of risk that can be diversified away by holding Bank of Montreal and ProShares SP Kensho in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ProShares SP Kensho 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 ProShares. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ProShares SP Kensho has no effect on the direction of Bank of Montreal i.e., Bank of Montreal and ProShares go up and down completely randomly.
Pair Corralation between Bank of Montreal and ProShares
Given the investment horizon of 90 days Bank of Montreal is expected to under-perform the ProShares. In addition to that, Bank of Montreal is 2.94 times more volatile than ProShares SP Kensho. It trades about -0.05 of its total potential returns per unit of risk. ProShares SP Kensho is currently generating about -0.12 per unit of volatility. If you would invest 4,136 in ProShares SP Kensho on December 29, 2024 and sell it today you would lose (516.00) from holding ProShares SP Kensho or give up 12.48% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 44.26% |
Values | Daily Returns |
Bank of Montreal vs. ProShares SP Kensho
Performance |
Timeline |
Bank of Montreal |
ProShares SP Kensho |
Bank of Montreal and ProShares Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of Montreal and ProShares
The main advantage of trading using opposite Bank of Montreal and ProShares positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of Montreal position performs unexpectedly, ProShares 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 ProShares will offset losses from the drop in ProShares' 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 |
ProShares vs. ProShares Big Data | ProShares vs. ProShares SP Kensho | ProShares vs. ProShares Smart Materials | ProShares vs. ProShares On Demand ETF |
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 Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
Other Complementary Tools
Premium Stories Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope | |
My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like | |
Content Syndication Quickly integrate customizable finance content to your own investment portal | |
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk |