Correlation Between Li Auto and Getty Realty
Can any of the company-specific risk be diversified away by investing in both Li Auto and Getty Realty 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 Li Auto and Getty Realty into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Li Auto and Getty Realty, you can compare the effects of market volatilities on Li Auto and Getty Realty 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 Li Auto with a short position of Getty Realty. Check out your portfolio center. Please also check ongoing floating volatility patterns of Li Auto and Getty Realty.
Diversification Opportunities for Li Auto and Getty Realty
0.02 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Li Auto and Getty is 0.02. Overlapping area represents the amount of risk that can be diversified away by holding Li Auto and Getty Realty in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Getty Realty and Li Auto 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 Li Auto are associated (or correlated) with Getty Realty. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Getty Realty has no effect on the direction of Li Auto i.e., Li Auto and Getty Realty go up and down completely randomly.
Pair Corralation between Li Auto and Getty Realty
Allowing for the 90-day total investment horizon Li Auto is expected to generate 2.99 times more return on investment than Getty Realty. However, Li Auto is 2.99 times more volatile than Getty Realty. It trades about 0.02 of its potential returns per unit of risk. Getty Realty is currently generating about 0.02 per unit of risk. If you would invest 2,034 in Li Auto on September 3, 2024 and sell it today you would earn a total of 246.00 from holding Li Auto or generate 12.09% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Li Auto vs. Getty Realty
Performance |
Timeline |
Li Auto |
Getty Realty |
Li Auto and Getty Realty Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Li Auto and Getty Realty
The main advantage of trading using opposite Li Auto and Getty Realty positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Li Auto position performs unexpectedly, Getty Realty 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 Getty Realty will offset losses from the drop in Getty Realty's long position.Li Auto vs. GreenPower Motor | Li Auto vs. ZEEKR Intelligent Technology | Li Auto vs. Volcon Inc | Li Auto vs. Ford Motor |
Getty Realty vs. Regency Centers | Getty Realty vs. Site Centers Corp | Getty Realty vs. Brixmor Property | Getty Realty vs. Tanger Factory Outlet |
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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
Other Complementary Tools
Idea Optimizer Use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio | |
Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
Investing Opportunities Build portfolios using our predefined set of ideas and optimize them against your investing preferences | |
Fundamental Analysis View fundamental data based on most recent published financial statements | |
Global Correlations Find global opportunities by holding instruments from different markets |