Correlation Between Amg Southernsun and Amg Renaissance
Can any of the company-specific risk be diversified away by investing in both Amg Southernsun and Amg Renaissance 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 Southernsun and Amg Renaissance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Amg Southernsun Small and Amg Renaissance Large, you can compare the effects of market volatilities on Amg Southernsun and Amg Renaissance 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 Southernsun with a short position of Amg Renaissance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Amg Southernsun and Amg Renaissance.
Diversification Opportunities for Amg Southernsun and Amg Renaissance
0.71 | Correlation Coefficient |
Poor diversification
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 Southernsun Small and Amg Renaissance Large in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Amg Renaissance Large and Amg Southernsun 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 Southernsun Small are associated (or correlated) with Amg Renaissance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Amg Renaissance Large has no effect on the direction of Amg Southernsun i.e., Amg Southernsun and Amg Renaissance go up and down completely randomly.
Pair Corralation between Amg Southernsun and Amg Renaissance
Assuming the 90 days horizon Amg Southernsun is expected to generate 1.01 times less return on investment than Amg Renaissance. In addition to that, Amg Southernsun is 1.4 times more volatile than Amg Renaissance Large. It trades about 0.3 of its total potential returns per unit of risk. Amg Renaissance Large is currently generating about 0.43 per unit of volatility. If you would invest 1,905 in Amg Renaissance Large on September 1, 2024 and sell it today you would earn a total of 163.00 from holding Amg Renaissance Large or generate 8.56% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Amg Southernsun Small vs. Amg Renaissance Large
Performance |
Timeline |
Amg Southernsun Small |
Amg Renaissance Large |
Amg Southernsun and Amg Renaissance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Amg Southernsun and Amg Renaissance
The main advantage of trading using opposite Amg Southernsun and Amg Renaissance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Amg Southernsun position performs unexpectedly, Amg Renaissance 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 Renaissance will offset losses from the drop in Amg Renaissance's long position.Amg Southernsun vs. Hodges Small Cap | Amg Southernsun vs. Walthausen Small Cap | Amg Southernsun vs. Matthew 25 Fund | Amg Southernsun vs. Amg Yacktman Focused |
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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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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