Correlation Between Bank of Nova Scotia and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Bank of Nova Scotia and Dow Jones 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 Dow Jones 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 Dow Jones Industrial, you can compare the effects of market volatilities on Bank of Nova Scotia and Dow Jones 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 Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of Nova Scotia and Dow Jones.
Diversification Opportunities for Bank of Nova Scotia and Dow Jones
0.89 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Bank and Dow is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding Bank of Nova and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial 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 Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of Bank of Nova Scotia i.e., Bank of Nova Scotia and Dow Jones go up and down completely randomly.
Pair Corralation between Bank of Nova Scotia and Dow Jones
Assuming the 90 days trading horizon Bank of Nova is expected to generate 1.67 times more return on investment than Dow Jones. However, Bank of Nova Scotia is 1.67 times more volatile than Dow Jones Industrial. It trades about 0.07 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.01 per unit of risk. If you would invest 7,743 in Bank of Nova on September 19, 2024 and sell it today you would earn a total of 94.00 from holding Bank of Nova or generate 1.21% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 95.45% |
Values | Daily Returns |
Bank of Nova vs. Dow Jones Industrial
Performance |
Timeline |
Bank of Nova Scotia and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
Bank of Nova
Pair trading matchups for Bank of Nova Scotia
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Bank of Nova Scotia and Dow Jones
The main advantage of trading using opposite Bank of Nova Scotia and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of Nova Scotia position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' 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 Global Correlations module to find global opportunities by holding instruments from different markets.
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