Correlation Between LXP Industrial and Public Storage
Can any of the company-specific risk be diversified away by investing in both LXP Industrial and Public Storage 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 LXP Industrial and Public Storage into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between LXP Industrial Trust and Public Storage, you can compare the effects of market volatilities on LXP Industrial and Public Storage 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 LXP Industrial with a short position of Public Storage. Check out your portfolio center. Please also check ongoing floating volatility patterns of LXP Industrial and Public Storage.
Diversification Opportunities for LXP Industrial and Public Storage
0.28 | Correlation Coefficient |
Modest diversification
The 3 months correlation between LXP and Public is 0.28. Overlapping area represents the amount of risk that can be diversified away by holding LXP Industrial Trust and Public Storage in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Public Storage and LXP 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 LXP Industrial Trust are associated (or correlated) with Public Storage. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Public Storage has no effect on the direction of LXP Industrial i.e., LXP Industrial and Public Storage go up and down completely randomly.
Pair Corralation between LXP Industrial and Public Storage
Considering the 90-day investment horizon LXP Industrial Trust is expected to under-perform the Public Storage. In addition to that, LXP Industrial is 2.6 times more volatile than Public Storage. It trades about -0.1 of its total potential returns per unit of risk. Public Storage is currently generating about 0.01 per unit of volatility. If you would invest 2,464 in Public Storage on September 2, 2024 and sell it today you would earn a total of 7.00 from holding Public Storage or generate 0.28% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
LXP Industrial Trust vs. Public Storage
Performance |
Timeline |
LXP Industrial Trust |
Public Storage |
LXP Industrial and Public Storage Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with LXP Industrial and Public Storage
The main advantage of trading using opposite LXP Industrial and Public Storage positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if LXP Industrial position performs unexpectedly, Public Storage 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 Public Storage will offset losses from the drop in Public Storage's long position.LXP Industrial vs. First Industrial Realty | LXP Industrial vs. Plymouth Industrial REIT | LXP Industrial vs. Global Self Storage | LXP Industrial vs. Terreno Realty |
Public Storage vs. Public Storage | Public Storage vs. Public Storage | Public Storage vs. Public Storage | Public Storage vs. Public Storage |
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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