Correlation Between First Trust and Amg River
Can any of the company-specific risk be diversified away by investing in both First Trust and Amg River 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 First Trust and Amg River into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between First Trust Merger and Amg River Road, you can compare the effects of market volatilities on First Trust and Amg River 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 First Trust with a short position of Amg River. Check out your portfolio center. Please also check ongoing floating volatility patterns of First Trust and Amg River.
Diversification Opportunities for First Trust and Amg River
-0.26 | Correlation Coefficient |
Very good diversification
The 3 months correlation between First and Amg is -0.26. Overlapping area represents the amount of risk that can be diversified away by holding First Trust Merger and Amg River Road in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Amg River Road and First 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 First Trust Merger are associated (or correlated) with Amg River. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Amg River Road has no effect on the direction of First Trust i.e., First Trust and Amg River go up and down completely randomly.
Pair Corralation between First Trust and Amg River
Assuming the 90 days horizon First Trust Merger is expected to under-perform the Amg River. But the mutual fund apears to be less risky and, when comparing its historical volatility, First Trust Merger is 1.18 times less risky than Amg River. The mutual fund trades about -0.14 of its potential returns per unit of risk. The Amg River Road is currently generating about 0.19 of returns per unit of risk over similar time horizon. If you would invest 1,017 in Amg River Road on September 13, 2024 and sell it today you would earn a total of 84.00 from holding Amg River Road or generate 8.26% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 97.67% |
| Values | Daily Returns |
First Trust Merger vs. Amg River Road
Performance |
| Timeline |
| First Trust Merger |
| Amg River Road |
First Trust and Amg River Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with First Trust and Amg River
The main advantage of trading using opposite First Trust and Amg River positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if First Trust position performs unexpectedly, Amg River 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 River will offset losses from the drop in Amg River's long position.| First Trust vs. Dodge Cox Stock | First Trust vs. Morningstar Unconstrained Allocation | First Trust vs. Rational Strategic Allocation | First Trust vs. T Rowe Price |
| Amg River vs. Amg River Road | Amg River vs. Champlain Small Pany | Amg River vs. Amg River Road | Amg River vs. Marsico Global Fund |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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