Correlation Between ANTA Sports and Bank of Nova Scotia
Can any of the company-specific risk be diversified away by investing in both ANTA Sports and Bank of Nova Scotia 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 ANTA Sports and Bank of Nova Scotia into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ANTA Sports Products and The Bank of, you can compare the effects of market volatilities on ANTA Sports and Bank of Nova Scotia 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 ANTA Sports with a short position of Bank of Nova Scotia. Check out your portfolio center. Please also check ongoing floating volatility patterns of ANTA Sports and Bank of Nova Scotia.
Diversification Opportunities for ANTA Sports and Bank of Nova Scotia
-0.89 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between ANTA and Bank is -0.89. Overlapping area represents the amount of risk that can be diversified away by holding ANTA Sports Products and The Bank of in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank of Nova Scotia and ANTA Sports 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 ANTA Sports Products are associated (or correlated) with Bank of Nova Scotia. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank of Nova Scotia has no effect on the direction of ANTA Sports i.e., ANTA Sports and Bank of Nova Scotia go up and down completely randomly.
Pair Corralation between ANTA Sports and Bank of Nova Scotia
Assuming the 90 days trading horizon ANTA Sports Products is expected to generate 1.83 times more return on investment than Bank of Nova Scotia. However, ANTA Sports is 1.83 times more volatile than The Bank of. It trades about 0.12 of its potential returns per unit of risk. The Bank of is currently generating about -0.18 per unit of risk. If you would invest 994.00 in ANTA Sports Products on December 20, 2024 and sell it today you would earn a total of 152.00 from holding ANTA Sports Products or generate 15.29% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 98.33% |
Values | Daily Returns |
ANTA Sports Products vs. The Bank of
Performance |
Timeline |
ANTA Sports Products |
Bank of Nova Scotia |
ANTA Sports and Bank of Nova Scotia Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ANTA Sports and Bank of Nova Scotia
The main advantage of trading using opposite ANTA Sports and Bank of Nova Scotia positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ANTA Sports position performs unexpectedly, Bank of Nova Scotia 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 Bank of Nova Scotia will offset losses from the drop in Bank of Nova Scotia's long position.ANTA Sports vs. Guidewire Software | ANTA Sports vs. Fukuyama Transporting Co | ANTA Sports vs. Alfa Financial Software | ANTA Sports vs. Columbia Sportswear |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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