Correlation Between Old Westbury and Amg Managers
Can any of the company-specific risk be diversified away by investing in both Old Westbury and Amg Managers 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 Amg Managers into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Old Westbury Municipal and Amg Managers Fairpointe, you can compare the effects of market volatilities on Old Westbury and Amg Managers 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 Amg Managers. Check out your portfolio center. Please also check ongoing floating volatility patterns of Old Westbury and Amg Managers.
Diversification Opportunities for Old Westbury and Amg Managers
0.24 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Old and Amg is 0.24. Overlapping area represents the amount of risk that can be diversified away by holding Old Westbury Municipal and Amg Managers Fairpointe in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Amg Managers Fairpointe 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 Municipal are associated (or correlated) with Amg Managers. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Amg Managers Fairpointe has no effect on the direction of Old Westbury i.e., Old Westbury and Amg Managers go up and down completely randomly.
Pair Corralation between Old Westbury and Amg Managers
Assuming the 90 days horizon Old Westbury Municipal is expected to generate 0.1 times more return on investment than Amg Managers. However, Old Westbury Municipal is 9.54 times less risky than Amg Managers. It trades about -0.08 of its potential returns per unit of risk. Amg Managers Fairpointe is currently generating about -0.08 per unit of risk. If you would invest 1,161 in Old Westbury Municipal on September 22, 2024 and sell it today you would lose (11.00) from holding Old Westbury Municipal or give up 0.95% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 98.46% |
Values | Daily Returns |
Old Westbury Municipal vs. Amg Managers Fairpointe
Performance |
Timeline |
Old Westbury Municipal |
Amg Managers Fairpointe |
Old Westbury and Amg Managers Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Old Westbury and Amg Managers
The main advantage of trading using opposite Old Westbury and Amg Managers positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Old Westbury position performs unexpectedly, Amg Managers 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 Amg Managers will offset losses from the drop in Amg Managers' long position.Old Westbury vs. T Rowe Price | Old Westbury vs. Siit High Yield | Old Westbury vs. Alpine High Yield | Old Westbury vs. Guggenheim High Yield |
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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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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