Correlation Between Bank of Nova Scotia and Sienna Resources
Can any of the company-specific risk be diversified away by investing in both Bank of Nova Scotia and Sienna 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 Sienna 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 Sienna Resources, you can compare the effects of market volatilities on Bank of Nova Scotia and Sienna 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 Sienna Resources. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of Nova Scotia and Sienna Resources.
Diversification Opportunities for Bank of Nova Scotia and Sienna Resources
-0.53 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Bank and Sienna is -0.53. Overlapping area represents the amount of risk that can be diversified away by holding Bank of Nova and Sienna Resources in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sienna Resources 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 Sienna Resources. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sienna Resources has no effect on the direction of Bank of Nova Scotia i.e., Bank of Nova Scotia and Sienna Resources go up and down completely randomly.
Pair Corralation between Bank of Nova Scotia and Sienna Resources
Assuming the 90 days trading horizon Bank of Nova Scotia is expected to generate 4.44 times less return on investment than Sienna Resources. But when comparing it to its historical volatility, Bank of Nova is 11.17 times less risky than Sienna Resources. It trades about 0.11 of its potential returns per unit of risk. Sienna Resources is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 5.00 in Sienna Resources on September 12, 2024 and sell it today you would lose (2.00) from holding Sienna Resources or give up 40.0% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Bank of Nova vs. Sienna Resources
Performance |
Timeline |
Bank of Nova Scotia |
Sienna Resources |
Bank of Nova Scotia and Sienna Resources Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of Nova Scotia and Sienna Resources
The main advantage of trading using opposite Bank of Nova Scotia and Sienna Resources positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of Nova Scotia position performs unexpectedly, Sienna 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 Sienna Resources will offset losses from the drop in Sienna Resources' long position.Bank of Nova Scotia vs. Brompton Lifeco Split | Bank of Nova Scotia vs. North American Financial | Bank of Nova Scotia vs. Prime Dividend Corp | Bank of Nova Scotia vs. Financial 15 Split |
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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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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