Correlation Between Albany International and SAG Holdings
Can any of the company-specific risk be diversified away by investing in both Albany International and SAG Holdings 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 SAG Holdings into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Albany International and SAG Holdings Limited, you can compare the effects of market volatilities on Albany International and SAG Holdings 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 SAG Holdings. Check out your portfolio center. Please also check ongoing floating volatility patterns of Albany International and SAG Holdings.
Diversification Opportunities for Albany International and SAG Holdings
-0.5 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Albany and SAG is -0.5. Overlapping area represents the amount of risk that can be diversified away by holding Albany International and SAG Holdings Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SAG Holdings Limited 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 SAG Holdings. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SAG Holdings Limited has no effect on the direction of Albany International i.e., Albany International and SAG Holdings go up and down completely randomly.
Pair Corralation between Albany International and SAG Holdings
Considering the 90-day investment horizon Albany International is expected to generate 0.31 times more return on investment than SAG Holdings. However, Albany International is 3.19 times less risky than SAG Holdings. It trades about 0.09 of its potential returns per unit of risk. SAG Holdings Limited is currently generating about -0.19 per unit of risk. If you would invest 7,258 in Albany International on October 8, 2024 and sell it today you would earn a total of 839.00 from holding Albany International or generate 11.56% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 82.26% |
Values | Daily Returns |
Albany International vs. SAG Holdings Limited
Performance |
Timeline |
Albany International |
SAG Holdings Limited |
Albany International and SAG Holdings Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Albany International and SAG Holdings
The main advantage of trading using opposite Albany International and SAG Holdings positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Albany International position performs unexpectedly, SAG Holdings 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 SAG Holdings will offset losses from the drop in SAG Holdings' 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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