Correlation Between Amg River and Amg Managers
Can any of the company-specific risk be diversified away by investing in both Amg River 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 Amg River and Amg Managers into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Amg River Road and Amg Managers Loomis, you can compare the effects of market volatilities on Amg River 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 Amg River with a short position of Amg Managers. Check out your portfolio center. Please also check ongoing floating volatility patterns of Amg River and Amg Managers.
Diversification Opportunities for Amg River and Amg Managers
-0.71 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Amg and Amg is -0.71. Overlapping area represents the amount of risk that can be diversified away by holding Amg River Road and Amg Managers Loomis in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Amg Managers Loomis and Amg River 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 Amg River Road 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 Loomis has no effect on the direction of Amg River i.e., Amg River and Amg Managers go up and down completely randomly.
Pair Corralation between Amg River and Amg Managers
Assuming the 90 days horizon Amg River Road is expected to generate 4.16 times more return on investment than Amg Managers. However, Amg River is 4.16 times more volatile than Amg Managers Loomis. It trades about 0.37 of its potential returns per unit of risk. Amg Managers Loomis is currently generating about 0.05 per unit of risk. If you would invest 1,588 in Amg River Road on August 31, 2024 and sell it today you would earn a total of 195.00 from holding Amg River Road or generate 12.28% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Amg River Road vs. Amg Managers Loomis
Performance |
| Timeline |
| Amg River Road |
| Amg Managers Loomis |
Amg River and Amg Managers Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Amg River and Amg Managers
The main advantage of trading using opposite Amg River and Amg Managers positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Amg River 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.| Amg River vs. Alger Smallcap Growth | Amg River vs. Deutsche Global Real | Amg River vs. Amg River Road | Amg River vs. Delaware Value Fund |
| Amg Managers vs. Pear Tree Polaris | Amg Managers vs. Kinetics Small Cap | Amg Managers vs. Tcw Total Return | Amg Managers vs. Thornburg International Value |
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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