Correlation Between Albany International and AltShares Trust
Can any of the company-specific risk be diversified away by investing in both Albany International and AltShares Trust 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 Albany International and AltShares Trust into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Albany International and AltShares Trust , you can compare the effects of market volatilities on Albany International and AltShares Trust 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 Albany International with a short position of AltShares Trust. Check out your portfolio center. Please also check ongoing floating volatility patterns of Albany International and AltShares Trust.
Diversification Opportunities for Albany International and AltShares Trust
-0.59 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Albany and AltShares is -0.59. Overlapping area represents the amount of risk that can be diversified away by holding Albany International and AltShares Trust in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AltShares Trust and Albany International 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 Albany International are associated (or correlated) with AltShares Trust. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AltShares Trust has no effect on the direction of Albany International i.e., Albany International and AltShares Trust go up and down completely randomly.
Pair Corralation between Albany International and AltShares Trust
Considering the 90-day investment horizon Albany International is expected to under-perform the AltShares Trust. In addition to that, Albany International is 10.46 times more volatile than AltShares Trust . It trades about -0.01 of its total potential returns per unit of risk. AltShares Trust is currently generating about 0.14 per unit of volatility. If you would invest 2,688 in AltShares Trust on August 29, 2024 and sell it today you would earn a total of 102.00 from holding AltShares Trust or generate 3.79% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Albany International vs. AltShares Trust
Performance |
Timeline |
Albany International |
AltShares Trust |
Albany International and AltShares Trust Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Albany International and AltShares Trust
The main advantage of trading using opposite Albany International and AltShares Trust positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Albany International position performs unexpectedly, AltShares Trust 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 AltShares Trust will offset losses from the drop in AltShares Trust's long position.Albany International vs. Culp Inc | Albany International vs. Unifi Inc | Albany International vs. Toray Industries | Albany International vs. International Paper |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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