Correlation Between Bank of Nova Scotia and Colossus Resources
Can any of the company-specific risk be diversified away by investing in both Bank of Nova Scotia and Colossus Resources 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 Nova Scotia and Colossus Resources into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bank of Nova and Colossus Resources Corp, you can compare the effects of market volatilities on Bank of Nova Scotia and Colossus Resources 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 Nova Scotia with a short position of Colossus Resources. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of Nova Scotia and Colossus Resources.
Diversification Opportunities for Bank of Nova Scotia and Colossus Resources
-0.58 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Bank and Colossus is -0.58. Overlapping area represents the amount of risk that can be diversified away by holding Bank of Nova and Colossus Resources Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Colossus Resources Corp and Bank of Nova Scotia 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 Nova are associated (or correlated) with Colossus Resources. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Colossus Resources Corp has no effect on the direction of Bank of Nova Scotia i.e., Bank of Nova Scotia and Colossus Resources go up and down completely randomly.
Pair Corralation between Bank of Nova Scotia and Colossus Resources
Assuming the 90 days trading horizon Bank of Nova is expected to under-perform the Colossus Resources. But the stock apears to be less risky and, when comparing its historical volatility, Bank of Nova is 4.63 times less risky than Colossus Resources. The stock trades about -0.11 of its potential returns per unit of risk. The Colossus Resources Corp is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 12.00 in Colossus Resources Corp on September 21, 2024 and sell it today you would earn a total of 1.00 from holding Colossus Resources Corp or generate 8.33% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 95.65% |
| Values | Daily Returns |
Bank of Nova vs. Colossus Resources Corp
Performance |
| Timeline |
| Bank of Nova Scotia |
| Colossus Resources Corp |
Bank of Nova Scotia and Colossus Resources Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bank of Nova Scotia and Colossus Resources
The main advantage of trading using opposite Bank of Nova Scotia and Colossus Resources positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of Nova Scotia position performs unexpectedly, Colossus Resources 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 Colossus Resources will offset losses from the drop in Colossus Resources' long position.| Bank of Nova Scotia vs. Toronto Dominion Bank | Bank of Nova Scotia vs. Royal Bank of | Bank of Nova Scotia vs. Bank of Montreal | Bank of Nova Scotia vs. Canadian Imperial Bank |
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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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
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