Correlation Between Amg River and Amg Timessquare
Can any of the company-specific risk be diversified away by investing in both Amg River and Amg Timessquare 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 Timessquare 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 Timessquare Small, you can compare the effects of market volatilities on Amg River and Amg Timessquare 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 Timessquare. Check out your portfolio center. Please also check ongoing floating volatility patterns of Amg River and Amg Timessquare.
Diversification Opportunities for Amg River and Amg Timessquare
0.95 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Amg and Amg is 0.95. Overlapping area represents the amount of risk that can be diversified away by holding Amg River Road and Amg Timessquare Small in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Amg Timessquare Small 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 Timessquare. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Amg Timessquare Small has no effect on the direction of Amg River i.e., Amg River and Amg Timessquare go up and down completely randomly.
Pair Corralation between Amg River and Amg Timessquare
Assuming the 90 days horizon Amg River Road is expected to generate 1.0 times more return on investment than Amg Timessquare. However, Amg River is 1.0 times more volatile than Amg Timessquare Small. It trades about 0.26 of its potential returns per unit of risk. Amg Timessquare Small is currently generating about 0.19 per unit of risk. If you would invest 1,613 in Amg River Road on August 26, 2024 and sell it today you would earn a total of 221.00 from holding Amg River Road or generate 13.7% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Amg River Road vs. Amg Timessquare Small
Performance |
| Timeline |
| Amg River Road |
| Amg Timessquare Small |
Amg River and Amg Timessquare Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Amg River and Amg Timessquare
The main advantage of trading using opposite Amg River and Amg Timessquare positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Amg River position performs unexpectedly, Amg Timessquare 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 Timessquare will offset losses from the drop in Amg Timessquare's long position.| Amg River vs. Victory Trivalent International | Amg River vs. Deutsche Global Real | Amg River vs. Mfs International Growth | Amg River vs. Jpmorgan Large Cap |
| Amg Timessquare vs. Amg Southernsun Equity | Amg Timessquare vs. Amg Southernsun Equity | Amg Timessquare vs. Amg Fq Long Short | Amg Timessquare vs. Amg Southernsun 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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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