Correlation Between Fibra Terrafina and LXP Industrial
Can any of the company-specific risk be diversified away by investing in both Fibra Terrafina 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 Fibra Terrafina and LXP Industrial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Fibra Terrafina and LXP Industrial Trust, you can compare the effects of market volatilities on Fibra Terrafina 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 Fibra Terrafina with a short position of LXP Industrial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fibra Terrafina and LXP Industrial.
Diversification Opportunities for Fibra Terrafina and LXP Industrial
0.19 | Correlation Coefficient |
Average diversification
The 3 months correlation between Fibra and LXP is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding Fibra Terrafina 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 Fibra Terrafina 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 Fibra Terrafina 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 Fibra Terrafina i.e., Fibra Terrafina and LXP Industrial go up and down completely randomly.
Pair Corralation between Fibra Terrafina and LXP Industrial
Assuming the 90 days horizon Fibra Terrafina is expected to generate 3.04 times more return on investment than LXP Industrial. However, Fibra Terrafina is 3.04 times more volatile than LXP Industrial Trust. It trades about 0.02 of its potential returns per unit of risk. LXP Industrial Trust is currently generating about 0.02 per unit of risk. If you would invest 190.00 in Fibra Terrafina on September 4, 2024 and sell it today you would lose (10.00) from holding Fibra Terrafina or give up 5.26% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 93.12% |
| Values | Daily Returns |
Fibra Terrafina vs. LXP Industrial Trust
Performance |
| Timeline |
| Fibra Terrafina |
| LXP Industrial Trust |
Fibra Terrafina and LXP Industrial Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Fibra Terrafina and LXP Industrial
The main advantage of trading using opposite Fibra Terrafina and LXP Industrial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fibra Terrafina 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.| Fibra Terrafina vs. Big Yellow Group | Fibra Terrafina vs. Plymouth Industrial REIT | Fibra Terrafina vs. LXP Industrial Trust | Fibra Terrafina vs. Terreno Realty |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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