Correlation Between Bank of Nova Scotia and US Bancorp
Can any of the company-specific risk be diversified away by investing in both Bank of Nova Scotia and US Bancorp 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 US Bancorp into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between The Bank of and US Bancorp, you can compare the effects of market volatilities on Bank of Nova Scotia and US Bancorp 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 US Bancorp. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of Nova Scotia and US Bancorp.
Diversification Opportunities for Bank of Nova Scotia and US Bancorp
0.68 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Bank and USB is 0.68. Overlapping area represents the amount of risk that can be diversified away by holding The Bank of and US Bancorp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on US Bancorp 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 The Bank of are associated (or correlated) with US Bancorp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of US Bancorp has no effect on the direction of Bank of Nova Scotia i.e., Bank of Nova Scotia and US Bancorp go up and down completely randomly.
Pair Corralation between Bank of Nova Scotia and US Bancorp
Assuming the 90 days trading horizon Bank of Nova Scotia is expected to generate 1.52 times less return on investment than US Bancorp. But when comparing it to its historical volatility, The Bank of is 1.64 times less risky than US Bancorp. It trades about 0.13 of its potential returns per unit of risk. US Bancorp is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 53,514 in US Bancorp on September 14, 2024 and sell it today you would earn a total of 51,430 from holding US Bancorp or generate 96.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
The Bank of vs. US Bancorp
Performance |
Timeline |
Bank of Nova Scotia |
US Bancorp |
Bank of Nova Scotia and US Bancorp Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of Nova Scotia and US Bancorp
The main advantage of trading using opposite Bank of Nova Scotia and US Bancorp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of Nova Scotia position performs unexpectedly, US Bancorp 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 US Bancorp will offset losses from the drop in US Bancorp's long position.Bank of Nova Scotia vs. Verizon Communications | Bank of Nova Scotia vs. New Oriental Education | Bank of Nova Scotia vs. McEwen Mining | Bank of Nova Scotia vs. Grupo Sports World |
US Bancorp vs. Monster Beverage Corp | US Bancorp vs. The Bank of | US Bancorp vs. United States Steel | US Bancorp vs. McEwen Mining |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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