Correlation Between Immobel and GIMV NV
Can any of the company-specific risk be diversified away by investing in both Immobel and GIMV NV 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 Immobel and GIMV NV into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Immobel and GIMV NV, you can compare the effects of market volatilities on Immobel and GIMV NV 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 Immobel with a short position of GIMV NV. Check out your portfolio center. Please also check ongoing floating volatility patterns of Immobel and GIMV NV.
Diversification Opportunities for Immobel and GIMV NV
Poor diversification
The 3 months correlation between Immobel and GIMV is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding Immobel and GIMV NV in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GIMV NV and Immobel 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 Immobel are associated (or correlated) with GIMV NV. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GIMV NV has no effect on the direction of Immobel i.e., Immobel and GIMV NV go up and down completely randomly.
Pair Corralation between Immobel and GIMV NV
Assuming the 90 days trading horizon Immobel is expected to generate 2.22 times less return on investment than GIMV NV. In addition to that, Immobel is 1.61 times more volatile than GIMV NV. It trades about 0.05 of its total potential returns per unit of risk. GIMV NV is currently generating about 0.17 per unit of volatility. If you would invest 3,745 in GIMV NV on September 17, 2024 and sell it today you would earn a total of 235.00 from holding GIMV NV or generate 6.28% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Immobel vs. GIMV NV
Performance |
Timeline |
Immobel |
GIMV NV |
Immobel and GIMV NV Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Immobel and GIMV NV
The main advantage of trading using opposite Immobel and GIMV NV positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Immobel position performs unexpectedly, GIMV NV 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 GIMV NV will offset losses from the drop in GIMV NV's long position.Immobel vs. Retail Estates | Immobel vs. Home Invest Belgium | Immobel vs. Exmar NV | Immobel vs. Iep Invest |
GIMV NV vs. Brederode SA | GIMV NV vs. Ackermans Van Haaren | GIMV NV vs. Groep Brussel Lambert | GIMV NV vs. Sofina Socit Anonyme |
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.
Other Complementary Tools
Options Analysis Analyze and evaluate options and option chains as a potential hedge for your portfolios | |
Stock Tickers Use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites | |
Sign In To Macroaxis Sign in to explore Macroaxis' wealth optimization platform and fintech modules | |
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
Price Ceiling Movement Calculate and plot Price Ceiling Movement for different equity instruments |