Correlation Between Bank of Nova Scotia and Goodfood Market
Can any of the company-specific risk be diversified away by investing in both Bank of Nova Scotia and Goodfood Market 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 Goodfood Market 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 Goodfood Market Corp, you can compare the effects of market volatilities on Bank of Nova Scotia and Goodfood Market 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 Goodfood Market. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of Nova Scotia and Goodfood Market.
Diversification Opportunities for Bank of Nova Scotia and Goodfood Market
0.77 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Bank and Goodfood is 0.77. Overlapping area represents the amount of risk that can be diversified away by holding Bank of Nova and Goodfood Market Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Goodfood Market 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 Goodfood Market. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Goodfood Market Corp has no effect on the direction of Bank of Nova Scotia i.e., Bank of Nova Scotia and Goodfood Market go up and down completely randomly.
Pair Corralation between Bank of Nova Scotia and Goodfood Market
Assuming the 90 days trading horizon Bank of Nova is expected to generate 0.19 times more return on investment than Goodfood Market. However, Bank of Nova is 5.22 times less risky than Goodfood Market. It trades about -0.21 of its potential returns per unit of risk. Goodfood Market Corp is currently generating about -0.05 per unit of risk. If you would invest 7,635 in Bank of Nova on December 30, 2024 and sell it today you would lose (799.00) from holding Bank of Nova or give up 10.46% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Bank of Nova vs. Goodfood Market Corp
Performance |
Timeline |
Bank of Nova Scotia |
Goodfood Market Corp |
Bank of Nova Scotia and Goodfood Market Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of Nova Scotia and Goodfood Market
The main advantage of trading using opposite Bank of Nova Scotia and Goodfood Market positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of Nova Scotia position performs unexpectedly, Goodfood Market 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 Goodfood Market will offset losses from the drop in Goodfood Market's 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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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