Correlation Between Bank of Montreal and SSC Technologies
Can any of the company-specific risk be diversified away by investing in both Bank of Montreal and SSC Technologies 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 SSC Technologies 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 SSC Technologies Holdings, you can compare the effects of market volatilities on Bank of Montreal and SSC Technologies 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 SSC Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of Montreal and SSC Technologies.
Diversification Opportunities for Bank of Montreal and SSC Technologies
0.81 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Bank and SSC is 0.81. Overlapping area represents the amount of risk that can be diversified away by holding Bank of Montreal and SSC Technologies Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SSC Technologies Holdings 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 SSC Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SSC Technologies Holdings has no effect on the direction of Bank of Montreal i.e., Bank of Montreal and SSC Technologies go up and down completely randomly.
Pair Corralation between Bank of Montreal and SSC Technologies
Assuming the 90 days horizon Bank of Montreal is expected to generate 1.35 times more return on investment than SSC Technologies. However, Bank of Montreal is 1.35 times more volatile than SSC Technologies Holdings. It trades about 0.09 of its potential returns per unit of risk. SSC Technologies Holdings is currently generating about -0.01 per unit of risk. If you would invest 9,000 in Bank of Montreal on September 27, 2024 and sell it today you would earn a total of 242.00 from holding Bank of Montreal or generate 2.69% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Bank of Montreal vs. SSC Technologies Holdings
Performance |
Timeline |
Bank of Montreal |
SSC Technologies Holdings |
Bank of Montreal and SSC Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of Montreal and SSC Technologies
The main advantage of trading using opposite Bank of Montreal and SSC Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of Montreal position performs unexpectedly, SSC Technologies 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 SSC Technologies will offset losses from the drop in SSC Technologies' long position.Bank of Montreal vs. INDCOMMBK CHINA ADR20 | Bank of Montreal vs. Industrial and Commercial | Bank of Montreal vs. CHINA BANK ADR20 | Bank of Montreal vs. AGRICULTBK HADR25 YC |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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