Correlation Between UBS Group and Bank of Nova Scotia
Can any of the company-specific risk be diversified away by investing in both UBS Group 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 UBS Group 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 UBS Group AG and Bank of Nova, you can compare the effects of market volatilities on UBS Group 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 UBS Group with a short position of Bank of Nova Scotia. Check out your portfolio center. Please also check ongoing floating volatility patterns of UBS Group and Bank of Nova Scotia.
Diversification Opportunities for UBS Group and Bank of Nova Scotia
0.55 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between UBS and Bank is 0.55. Overlapping area represents the amount of risk that can be diversified away by holding UBS Group AG and Bank of Nova in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank of Nova Scotia and UBS Group 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 UBS Group AG 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 UBS Group i.e., UBS Group and Bank of Nova Scotia go up and down completely randomly.
Pair Corralation between UBS Group and Bank of Nova Scotia
Considering the 90-day investment horizon UBS Group AG is expected to generate 1.41 times more return on investment than Bank of Nova Scotia. However, UBS Group is 1.41 times more volatile than Bank of Nova. It trades about 0.13 of its potential returns per unit of risk. Bank of Nova is currently generating about 0.14 per unit of risk. If you would invest 3,101 in UBS Group AG on September 4, 2024 and sell it today you would earn a total of 127.00 from holding UBS Group AG or generate 4.1% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
UBS Group AG vs. Bank of Nova
Performance |
| Timeline |
| UBS Group AG |
| Bank of Nova Scotia |
UBS Group and Bank of Nova Scotia Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with UBS Group and Bank of Nova Scotia
The main advantage of trading using opposite UBS Group and Bank of Nova Scotia positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if UBS Group 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.| UBS Group vs. Citigroup | UBS Group vs. Barclays PLC ADR | UBS Group vs. HSBC Holdings PLC | UBS Group vs. Nu Holdings |
| Bank of Nova Scotia vs. Toronto Dominion Bank | Bank of Nova Scotia vs. Royal Bank of | Bank of Nova Scotia vs. Canadian Imperial Bank | Bank of Nova Scotia vs. JPMorgan Chase Co |
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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