Correlation Between American Assets and LXP Industrial
Can any of the company-specific risk be diversified away by investing in both American Assets and LXP Industrial 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 American Assets and LXP Industrial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between American Assets Trust and LXP Industrial Trust, you can compare the effects of market volatilities on American Assets and LXP Industrial 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 American Assets with a short position of LXP Industrial. Check out your portfolio center. Please also check ongoing floating volatility patterns of American Assets and LXP Industrial.
Diversification Opportunities for American Assets and LXP Industrial
-0.8 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between American and LXP is -0.8. Overlapping area represents the amount of risk that can be diversified away by holding American Assets Trust and LXP Industrial Trust in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LXP Industrial Trust and American Assets 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 American Assets Trust are associated (or correlated) with LXP Industrial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LXP Industrial Trust has no effect on the direction of American Assets i.e., American Assets and LXP Industrial go up and down completely randomly.
Pair Corralation between American Assets and LXP Industrial
Considering the 90-day investment horizon American Assets Trust is expected to under-perform the LXP Industrial. In addition to that, American Assets is 1.13 times more volatile than LXP Industrial Trust. It trades about -0.21 of its total potential returns per unit of risk. LXP Industrial Trust is currently generating about 0.1 per unit of volatility. If you would invest 804.00 in LXP Industrial Trust on December 28, 2024 and sell it today you would earn a total of 77.00 from holding LXP Industrial Trust or generate 9.58% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
American Assets Trust vs. LXP Industrial Trust
Performance |
Timeline |
American Assets Trust |
LXP Industrial Trust |
American Assets and LXP Industrial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with American Assets and LXP Industrial
The main advantage of trading using opposite American Assets and LXP Industrial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if American Assets position performs unexpectedly, LXP Industrial 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 LXP Industrial will offset losses from the drop in LXP Industrial's long position.American Assets vs. Essential Properties Realty | American Assets vs. Armada Hflr Pr | American Assets vs. CTO Realty Growth | American Assets vs. Brightspire Capital |
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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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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