Correlation Between Bank of Nova Scotia and JPMorgan Chase
Can any of the company-specific risk be diversified away by investing in both Bank of Nova Scotia and JPMorgan Chase 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 JPMorgan Chase 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 JPMorgan Chase Co, you can compare the effects of market volatilities on Bank of Nova Scotia and JPMorgan Chase 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 JPMorgan Chase. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of Nova Scotia and JPMorgan Chase.
Diversification Opportunities for Bank of Nova Scotia and JPMorgan Chase
-0.32 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Bank and JPMorgan is -0.32. Overlapping area represents the amount of risk that can be diversified away by holding Bank of Nova and JPMorgan Chase Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on JPMorgan Chase 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 JPMorgan Chase. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of JPMorgan Chase has no effect on the direction of Bank of Nova Scotia i.e., Bank of Nova Scotia and JPMorgan Chase go up and down completely randomly.
Pair Corralation between Bank of Nova Scotia and JPMorgan Chase
Considering the 90-day investment horizon Bank of Nova is expected to generate 1.04 times more return on investment than JPMorgan Chase. However, Bank of Nova Scotia is 1.04 times more volatile than JPMorgan Chase Co. It trades about 0.26 of its potential returns per unit of risk. JPMorgan Chase Co is currently generating about -0.06 per unit of risk. If you would invest 4,931 in Bank of Nova on September 3, 2024 and sell it today you would earn a total of 746.00 from holding Bank of Nova or generate 15.13% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Bank of Nova vs. JPMorgan Chase Co
Performance |
Timeline |
Bank of Nova Scotia |
JPMorgan Chase |
Bank of Nova Scotia and JPMorgan Chase Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of Nova Scotia and JPMorgan Chase
The main advantage of trading using opposite Bank of Nova Scotia and JPMorgan Chase positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of Nova Scotia position performs unexpectedly, JPMorgan Chase 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 JPMorgan Chase will offset losses from the drop in JPMorgan Chase's long position.Bank of Nova Scotia vs. Partner Communications | Bank of Nova Scotia vs. Merck Company | Bank of Nova Scotia vs. Western Midstream Partners | Bank of Nova Scotia vs. Edgewise Therapeutics |
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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 Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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