Correlation Between Old Westbury and Hartford Growth
Can any of the company-specific risk be diversified away by investing in both Old Westbury and Hartford Growth 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 Old Westbury and Hartford Growth into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Old Westbury Large and The Hartford Growth, you can compare the effects of market volatilities on Old Westbury and Hartford Growth 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 Old Westbury with a short position of Hartford Growth. Check out your portfolio center. Please also check ongoing floating volatility patterns of Old Westbury and Hartford Growth.
Diversification Opportunities for Old Westbury and Hartford Growth
0.04 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Old and Hartford is 0.04. Overlapping area represents the amount of risk that can be diversified away by holding Old Westbury Large and The Hartford Growth in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hartford Growth and Old Westbury 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 Old Westbury Large are associated (or correlated) with Hartford Growth. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hartford Growth has no effect on the direction of Old Westbury i.e., Old Westbury and Hartford Growth go up and down completely randomly.
Pair Corralation between Old Westbury and Hartford Growth
Assuming the 90 days horizon Old Westbury Large is expected to under-perform the Hartford Growth. But the mutual fund apears to be less risky and, when comparing its historical volatility, Old Westbury Large is 1.05 times less risky than Hartford Growth. The mutual fund trades about -0.12 of its potential returns per unit of risk. The The Hartford Growth is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 5,625 in The Hartford Growth on October 7, 2024 and sell it today you would earn a total of 322.00 from holding The Hartford Growth or generate 5.72% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Old Westbury Large vs. The Hartford Growth
Performance |
Timeline |
Old Westbury Large |
Hartford Growth |
Old Westbury and Hartford Growth Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Old Westbury and Hartford Growth
The main advantage of trading using opposite Old Westbury and Hartford Growth positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Old Westbury position performs unexpectedly, Hartford Growth 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 Hartford Growth will offset losses from the drop in Hartford Growth's long position.Old Westbury vs. Goldman Sachs Financial | Old Westbury vs. Prudential Jennison Financial | Old Westbury vs. John Hancock Financial | Old Westbury vs. Blackrock Financial Institutions |
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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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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