Correlation Between Bank of New York and Fiera Capital
Can any of the company-specific risk be diversified away by investing in both Bank of New York and Fiera Capital 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 New York and Fiera Capital into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bank of New and Fiera Capital, you can compare the effects of market volatilities on Bank of New York and Fiera Capital 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 New York with a short position of Fiera Capital. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of New York and Fiera Capital.
Diversification Opportunities for Bank of New York and Fiera Capital
0.89 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Bank and Fiera is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding Bank of New and Fiera Capital in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fiera Capital and Bank of New York 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 New are associated (or correlated) with Fiera Capital. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fiera Capital has no effect on the direction of Bank of New York i.e., Bank of New York and Fiera Capital go up and down completely randomly.
Pair Corralation between Bank of New York and Fiera Capital
Allowing for the 90-day total investment horizon Bank of New is expected to generate 0.42 times more return on investment than Fiera Capital. However, Bank of New is 2.38 times less risky than Fiera Capital. It trades about 0.21 of its potential returns per unit of risk. Fiera Capital is currently generating about 0.04 per unit of risk. If you would invest 7,651 in Bank of New on August 27, 2024 and sell it today you would earn a total of 363.00 from holding Bank of New or generate 4.74% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 85.71% |
| Values | Daily Returns |
Bank of New vs. Fiera Capital
Performance |
| Timeline |
| Bank of New York |
| Fiera Capital |
Bank of New York and Fiera Capital Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bank of New York and Fiera Capital
The main advantage of trading using opposite Bank of New York and Fiera Capital positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of New York position performs unexpectedly, Fiera Capital 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 Fiera Capital will offset losses from the drop in Fiera Capital's long position.| Bank of New York vs. Northern Trust | Bank of New York vs. Invesco Plc | Bank of New York vs. Franklin Resources | Bank of New York vs. T Rowe Price |
| Fiera Capital vs. AGF Management Limited | Fiera Capital vs. Azimut Holding SpA | Fiera Capital vs. Ameritrans Capital Corp | Fiera Capital vs. Elysee Development Corp |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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