Correlation Between Bank of New York and Willis Towers
Can any of the company-specific risk be diversified away by investing in both Bank of New York and Willis Towers 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 Willis Towers 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 Willis Towers Watson, you can compare the effects of market volatilities on Bank of New York and Willis Towers 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 Willis Towers. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of New York and Willis Towers.
Diversification Opportunities for Bank of New York and Willis Towers
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Bank and Willis is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Bank of New and Willis Towers Watson in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Willis Towers Watson 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 Willis Towers. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Willis Towers Watson has no effect on the direction of Bank of New York i.e., Bank of New York and Willis Towers go up and down completely randomly.
Pair Corralation between Bank of New York and Willis Towers
Allowing for the 90-day total investment horizon Bank of New York is expected to generate 1.58 times less return on investment than Willis Towers. But when comparing it to its historical volatility, Bank of New is 1.08 times less risky than Willis Towers. It trades about 0.21 of its potential returns per unit of risk. Willis Towers Watson is currently generating about 0.3 of returns per unit of risk over similar time horizon. If you would invest 29,212 in Willis Towers Watson on August 27, 2024 and sell it today you would earn a total of 2,228 from holding Willis Towers Watson or generate 7.63% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Bank of New vs. Willis Towers Watson
Performance |
| Timeline |
| Bank of New York |
| Willis Towers Watson |
Bank of New York and Willis Towers Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bank of New York and Willis Towers
The main advantage of trading using opposite Bank of New York and Willis Towers positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of New York position performs unexpectedly, Willis Towers 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 Willis Towers will offset losses from the drop in Willis Towers' 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 |
| Willis Towers vs. Marsh McLennan Companies | Willis Towers vs. Arthur J Gallagher | Willis Towers vs. Brown Brown | Willis Towers vs. Erie Indemnity |
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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