Correlation Between Gamehost and Bank of Montreal
Can any of the company-specific risk be diversified away by investing in both Gamehost and Bank of Montreal 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 Gamehost and Bank of Montreal into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Gamehost and Bank of Montreal, you can compare the effects of market volatilities on Gamehost and Bank of Montreal 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 Gamehost with a short position of Bank of Montreal. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gamehost and Bank of Montreal.
Diversification Opportunities for Gamehost and Bank of Montreal
0.81 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Gamehost and Bank is 0.81. Overlapping area represents the amount of risk that can be diversified away by holding Gamehost and Bank of Montreal in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank of Montreal and Gamehost 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 Gamehost are associated (or correlated) with Bank of Montreal. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank of Montreal has no effect on the direction of Gamehost i.e., Gamehost and Bank of Montreal go up and down completely randomly.
Pair Corralation between Gamehost and Bank of Montreal
Assuming the 90 days horizon Gamehost is expected to generate 1.04 times more return on investment than Bank of Montreal. However, Gamehost is 1.04 times more volatile than Bank of Montreal. It trades about 0.07 of its potential returns per unit of risk. Bank of Montreal is currently generating about 0.05 per unit of risk. If you would invest 845.00 in Gamehost on March 25, 2025 and sell it today you would earn a total of 365.00 from holding Gamehost or generate 43.2% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Gamehost vs. Bank of Montreal
Performance |
Timeline |
Gamehost |
Bank of Montreal |
Gamehost and Bank of Montreal Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Gamehost and Bank of Montreal
The main advantage of trading using opposite Gamehost and Bank of Montreal positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gamehost position performs unexpectedly, Bank of Montreal 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 Bank of Montreal will offset losses from the drop in Bank of Montreal's long position.The idea behind Gamehost and Bank of Montreal 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.Bank of Montreal vs. Royal Bank of | Bank of Montreal vs. Canadian Imperial Bank | Bank of Montreal vs. Bank of Nova | Bank of Montreal vs. Toronto Dominion Bank |
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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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