Correlation Between Bank of Nova Scotia and Citigroup
Can any of the company-specific risk be diversified away by investing in both Bank of Nova Scotia and Citigroup 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 Citigroup 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 Citigroup, you can compare the effects of market volatilities on Bank of Nova Scotia and Citigroup 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 Citigroup. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of Nova Scotia and Citigroup.
Diversification Opportunities for Bank of Nova Scotia and Citigroup
0.24 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Bank and Citigroup is 0.24. Overlapping area represents the amount of risk that can be diversified away by holding Bank of Nova and Citigroup in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Citigroup 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 Citigroup. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Citigroup has no effect on the direction of Bank of Nova Scotia i.e., Bank of Nova Scotia and Citigroup go up and down completely randomly.
Pair Corralation between Bank of Nova Scotia and Citigroup
Considering the 90-day investment horizon Bank of Nova is expected to under-perform the Citigroup. But the stock apears to be less risky and, when comparing its historical volatility, Bank of Nova is 2.1 times less risky than Citigroup. The stock trades about -0.16 of its potential returns per unit of risk. The Citigroup is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 6,991 in Citigroup on December 28, 2024 and sell it today you would earn a total of 194.00 from holding Citigroup or generate 2.77% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Bank of Nova vs. Citigroup
Performance |
Timeline |
Bank of Nova Scotia |
Citigroup |
Bank of Nova Scotia and Citigroup Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of Nova Scotia and Citigroup
The main advantage of trading using opposite Bank of Nova Scotia and Citigroup positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of Nova Scotia position performs unexpectedly, Citigroup 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 Citigroup will offset losses from the drop in Citigroup's long position.Bank of Nova Scotia vs. PJT Partners | Bank of Nova Scotia vs. National Bank Holdings | Bank of Nova Scotia vs. FB Financial Corp | Bank of Nova Scotia vs. Northrim BanCorp |
Citigroup vs. PJT Partners | Citigroup vs. National Bank Holdings | Citigroup vs. FB Financial Corp | Citigroup vs. Northrim BanCorp |
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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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