Correlation Between CARSALES and Choice Hotels
Can any of the company-specific risk be diversified away by investing in both CARSALES and Choice Hotels 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 CARSALES and Choice Hotels into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CARSALESCOM and Choice Hotels International, you can compare the effects of market volatilities on CARSALES and Choice Hotels 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 CARSALES with a short position of Choice Hotels. Check out your portfolio center. Please also check ongoing floating volatility patterns of CARSALES and Choice Hotels.
Diversification Opportunities for CARSALES and Choice Hotels
0.6 | Correlation Coefficient |
Poor diversification
The 3 months correlation between CARSALES and Choice is 0.6. Overlapping area represents the amount of risk that can be diversified away by holding CARSALESCOM and Choice Hotels International in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Choice Hotels Intern and CARSALES 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 CARSALESCOM are associated (or correlated) with Choice Hotels. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Choice Hotels Intern has no effect on the direction of CARSALES i.e., CARSALES and Choice Hotels go up and down completely randomly.
Pair Corralation between CARSALES and Choice Hotels
Assuming the 90 days trading horizon CARSALESCOM is expected to under-perform the Choice Hotels. In addition to that, CARSALES is 1.23 times more volatile than Choice Hotels International. It trades about -0.01 of its total potential returns per unit of risk. Choice Hotels International is currently generating about 0.09 per unit of volatility. If you would invest 13,272 in Choice Hotels International on November 7, 2024 and sell it today you would earn a total of 928.00 from holding Choice Hotels International or generate 6.99% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
CARSALESCOM vs. Choice Hotels International
Performance |
| Timeline |
| CARSALESCOM |
| Choice Hotels Intern |
CARSALES and Choice Hotels Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with CARSALES and Choice Hotels
The main advantage of trading using opposite CARSALES and Choice Hotels positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CARSALES position performs unexpectedly, Choice Hotels 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 Choice Hotels will offset losses from the drop in Choice Hotels' long position.| CARSALES vs. EPSILON HEALTHCARE LTD | CARSALES vs. CEOTRONICS | CARSALES vs. Materialise NV | CARSALES vs. CARDINAL HEALTH |
| Choice Hotels vs. Align Technology | Choice Hotels vs. Yuexiu Transport Infrastructure | Choice Hotels vs. Gaztransport Technigaz SA | Choice Hotels vs. Television Broadcasts Limited |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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