Correlation Between NP3 Fastigheter and Logistea
Can any of the company-specific risk be diversified away by investing in both NP3 Fastigheter and Logistea 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 NP3 Fastigheter and Logistea into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NP3 Fastigheter AB and Logistea AB Series, you can compare the effects of market volatilities on NP3 Fastigheter and Logistea 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 NP3 Fastigheter with a short position of Logistea. Check out your portfolio center. Please also check ongoing floating volatility patterns of NP3 Fastigheter and Logistea.
Diversification Opportunities for NP3 Fastigheter and Logistea
0.33 | Correlation Coefficient |
Weak diversification
The 3 months correlation between NP3 and Logistea is 0.33. Overlapping area represents the amount of risk that can be diversified away by holding NP3 Fastigheter AB and Logistea AB Series in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Logistea AB Series and NP3 Fastigheter 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 NP3 Fastigheter AB are associated (or correlated) with Logistea. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Logistea AB Series has no effect on the direction of NP3 Fastigheter i.e., NP3 Fastigheter and Logistea go up and down completely randomly.
Pair Corralation between NP3 Fastigheter and Logistea
Assuming the 90 days trading horizon NP3 Fastigheter is expected to generate 1.62 times less return on investment than Logistea. But when comparing it to its historical volatility, NP3 Fastigheter AB is 1.26 times less risky than Logistea. It trades about 0.09 of its potential returns per unit of risk. Logistea AB Series is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 1,425 in Logistea AB Series on April 22, 2025 and sell it today you would earn a total of 197.00 from holding Logistea AB Series or generate 13.82% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
NP3 Fastigheter AB vs. Logistea AB Series
Performance |
Timeline |
NP3 Fastigheter AB |
Logistea AB Series |
NP3 Fastigheter and Logistea Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with NP3 Fastigheter and Logistea
The main advantage of trading using opposite NP3 Fastigheter and Logistea positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NP3 Fastigheter position performs unexpectedly, Logistea 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 Logistea will offset losses from the drop in Logistea's long position.NP3 Fastigheter vs. Platzer Fastigheter Holding | NP3 Fastigheter vs. Catena AB | NP3 Fastigheter vs. AB Sagax | NP3 Fastigheter vs. Nyfosa AB |
Logistea vs. AB Sagax | Logistea vs. Catena AB | Logistea vs. Platzer Fastigheter Holding | Logistea vs. Dios Fastigheter AB |
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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