Correlation Between Boston Trust and Boston Trust
Can any of the company-specific risk be diversified away by investing in both Boston Trust and Boston Trust 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 Boston Trust and Boston Trust into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Boston Trust Small and Boston Trust Midcap, you can compare the effects of market volatilities on Boston Trust and Boston Trust 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 Boston Trust with a short position of Boston Trust. Check out your portfolio center. Please also check ongoing floating volatility patterns of Boston Trust and Boston Trust.
Diversification Opportunities for Boston Trust and Boston Trust
0.97 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Boston and Boston is 0.97. Overlapping area represents the amount of risk that can be diversified away by holding Boston Trust Small and Boston Trust Midcap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Boston Trust Midcap and Boston Trust 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 Boston Trust Small are associated (or correlated) with Boston Trust. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Boston Trust Midcap has no effect on the direction of Boston Trust i.e., Boston Trust and Boston Trust go up and down completely randomly.
Pair Corralation between Boston Trust and Boston Trust
Assuming the 90 days horizon Boston Trust Small is expected to under-perform the Boston Trust. In addition to that, Boston Trust is 1.34 times more volatile than Boston Trust Midcap. It trades about -0.35 of its total potential returns per unit of risk. Boston Trust Midcap is currently generating about -0.37 per unit of volatility. If you would invest 2,677 in Boston Trust Midcap on October 7, 2024 and sell it today you would lose (237.00) from holding Boston Trust Midcap or give up 8.85% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Boston Trust Small vs. Boston Trust Midcap
Performance |
Timeline |
Boston Trust Small |
Boston Trust Midcap |
Boston Trust and Boston Trust Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Boston Trust and Boston Trust
The main advantage of trading using opposite Boston Trust and Boston Trust positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Boston Trust position performs unexpectedly, Boston Trust 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 Boston Trust will offset losses from the drop in Boston Trust's long position.Boston Trust vs. International Fund International | Boston Trust vs. Boston Trust Asset | Boston Trust vs. Queens Road Small | Boston Trust vs. Boston Trust Midcap |
Boston Trust vs. Boston Trust Asset | Boston Trust vs. Virtus Kar Mid Cap | Boston Trust vs. Virtus Kar Mid Cap | Boston Trust vs. Boston Trust Small |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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