Correlation Between Stag Industrial and ELMOS SEMICONDUCTOR
Can any of the company-specific risk be diversified away by investing in both Stag Industrial and ELMOS SEMICONDUCTOR 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 Stag Industrial and ELMOS SEMICONDUCTOR into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Stag Industrial and ELMOS SEMICONDUCTOR, you can compare the effects of market volatilities on Stag Industrial and ELMOS SEMICONDUCTOR 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 Stag Industrial with a short position of ELMOS SEMICONDUCTOR. Check out your portfolio center. Please also check ongoing floating volatility patterns of Stag Industrial and ELMOS SEMICONDUCTOR.
Diversification Opportunities for Stag Industrial and ELMOS SEMICONDUCTOR
-0.53 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Stag and ELMOS is -0.53. Overlapping area represents the amount of risk that can be diversified away by holding Stag Industrial and ELMOS SEMICONDUCTOR in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ELMOS SEMICONDUCTOR and Stag Industrial 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 Stag Industrial are associated (or correlated) with ELMOS SEMICONDUCTOR. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ELMOS SEMICONDUCTOR has no effect on the direction of Stag Industrial i.e., Stag Industrial and ELMOS SEMICONDUCTOR go up and down completely randomly.
Pair Corralation between Stag Industrial and ELMOS SEMICONDUCTOR
Assuming the 90 days trading horizon Stag Industrial is expected to generate 0.3 times more return on investment than ELMOS SEMICONDUCTOR. However, Stag Industrial is 3.29 times less risky than ELMOS SEMICONDUCTOR. It trades about 0.12 of its potential returns per unit of risk. ELMOS SEMICONDUCTOR is currently generating about 0.02 per unit of risk. If you would invest 3,345 in Stag Industrial on December 11, 2024 and sell it today you would earn a total of 60.00 from holding Stag Industrial or generate 1.79% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Stag Industrial vs. ELMOS SEMICONDUCTOR
Performance |
Timeline |
Stag Industrial |
ELMOS SEMICONDUCTOR |
Stag Industrial and ELMOS SEMICONDUCTOR Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Stag Industrial and ELMOS SEMICONDUCTOR
The main advantage of trading using opposite Stag Industrial and ELMOS SEMICONDUCTOR positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Stag Industrial position performs unexpectedly, ELMOS SEMICONDUCTOR 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 ELMOS SEMICONDUCTOR will offset losses from the drop in ELMOS SEMICONDUCTOR's long position.Stag Industrial vs. Fast Retailing Co | Stag Industrial vs. FAST RETAIL ADR | Stag Industrial vs. Caseys General Stores | Stag Industrial vs. PLAYWAY SA ZY 10 |
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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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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