Correlation Between Geely Automobile and KAUFMAN ET
Can any of the company-specific risk be diversified away by investing in both Geely Automobile and KAUFMAN ET 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 Geely Automobile and KAUFMAN ET into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Geely Automobile Holdings and KAUFMAN ET BROAD, you can compare the effects of market volatilities on Geely Automobile and KAUFMAN ET 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 Geely Automobile with a short position of KAUFMAN ET. Check out your portfolio center. Please also check ongoing floating volatility patterns of Geely Automobile and KAUFMAN ET.
Diversification Opportunities for Geely Automobile and KAUFMAN ET
0.63 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Geely and KAUFMAN is 0.63. Overlapping area represents the amount of risk that can be diversified away by holding Geely Automobile Holdings and KAUFMAN ET BROAD in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KAUFMAN ET BROAD and Geely Automobile 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 Geely Automobile Holdings are associated (or correlated) with KAUFMAN ET. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of KAUFMAN ET BROAD has no effect on the direction of Geely Automobile i.e., Geely Automobile and KAUFMAN ET go up and down completely randomly.
Pair Corralation between Geely Automobile and KAUFMAN ET
Assuming the 90 days horizon Geely Automobile Holdings is expected to generate 1.55 times more return on investment than KAUFMAN ET. However, Geely Automobile is 1.55 times more volatile than KAUFMAN ET BROAD. It trades about 0.13 of its potential returns per unit of risk. KAUFMAN ET BROAD is currently generating about 0.06 per unit of risk. If you would invest 90.00 in Geely Automobile Holdings on September 3, 2024 and sell it today you would earn a total of 77.00 from holding Geely Automobile Holdings or generate 85.56% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Geely Automobile Holdings vs. KAUFMAN ET BROAD
Performance |
| Timeline |
| Geely Automobile Holdings |
| KAUFMAN ET BROAD |
Geely Automobile and KAUFMAN ET Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Geely Automobile and KAUFMAN ET
The main advantage of trading using opposite Geely Automobile and KAUFMAN ET positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Geely Automobile position performs unexpectedly, KAUFMAN ET 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 KAUFMAN ET will offset losses from the drop in KAUFMAN ET's long position.| Geely Automobile vs. Tesla Inc | Geely Automobile vs. Toyota Motor | Geely Automobile vs. BYD Company Limited | Geely Automobile vs. Superior Plus Corp |
| KAUFMAN ET vs. EHEALTH | KAUFMAN ET vs. APPLIED MATERIALS | KAUFMAN ET vs. Martin Marietta Materials | KAUFMAN ET vs. NEWELL RUBBERMAID |
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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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