Correlation Between Getty Realty and SOCGEN
Specify exactly 2 symbols:
By analyzing existing cross correlation between Getty Realty and SOCGEN 3 22 JAN 30, you can compare the effects of market volatilities on Getty Realty and SOCGEN 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 Getty Realty with a short position of SOCGEN. Check out your portfolio center. Please also check ongoing floating volatility patterns of Getty Realty and SOCGEN.
Diversification Opportunities for Getty Realty and SOCGEN
-0.09 | Correlation Coefficient |
Good diversification
The 3 months correlation between Getty and SOCGEN is -0.09. Overlapping area represents the amount of risk that can be diversified away by holding Getty Realty and SOCGEN 3 22 JAN 30 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SOCGEN 3 22 and Getty Realty 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 Getty Realty are associated (or correlated) with SOCGEN. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SOCGEN 3 22 has no effect on the direction of Getty Realty i.e., Getty Realty and SOCGEN go up and down completely randomly.
Pair Corralation between Getty Realty and SOCGEN
Considering the 90-day investment horizon Getty Realty is expected to generate 0.81 times more return on investment than SOCGEN. However, Getty Realty is 1.23 times less risky than SOCGEN. It trades about -0.02 of its potential returns per unit of risk. SOCGEN 3 22 JAN 30 is currently generating about -0.15 per unit of risk. If you would invest 3,217 in Getty Realty on December 1, 2024 and sell it today you would lose (77.00) from holding Getty Realty or give up 2.39% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 43.33% |
Values | Daily Returns |
Getty Realty vs. SOCGEN 3 22 JAN 30
Performance |
Timeline |
Getty Realty |
SOCGEN 3 22 |
Getty Realty and SOCGEN Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Getty Realty and SOCGEN
The main advantage of trading using opposite Getty Realty and SOCGEN positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Getty Realty position performs unexpectedly, SOCGEN 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 SOCGEN will offset losses from the drop in SOCGEN's long position.Getty Realty vs. Regency Centers | Getty Realty vs. Site Centers Corp | Getty Realty vs. Brixmor Property | Getty Realty vs. Tanger Factory Outlet |
SOCGEN vs. 51Talk Online Education | SOCGEN vs. ZhongAn Online P | SOCGEN vs. Senmiao Technology | SOCGEN vs. Integral Ad Science |
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 Dashboard module to portfolio dashboard that provides centralized access to all your investments.
Other Complementary Tools
Bollinger Bands Use Bollinger Bands indicator to analyze target price for a given investing horizon | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
Sectors List of equity sectors categorizing publicly traded companies based on their primary business activities | |
Odds Of Bankruptcy Get analysis of equity chance of financial distress in the next 2 years |