Correlation Between Choice Hotels and INDCOMMBK CHINA
Can any of the company-specific risk be diversified away by investing in both Choice Hotels and INDCOMMBK CHINA 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 Choice Hotels and INDCOMMBK CHINA into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Choice Hotels International and INDCOMMBK CHINA ADR20, you can compare the effects of market volatilities on Choice Hotels and INDCOMMBK CHINA 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 Choice Hotels with a short position of INDCOMMBK CHINA. Check out your portfolio center. Please also check ongoing floating volatility patterns of Choice Hotels and INDCOMMBK CHINA.
Diversification Opportunities for Choice Hotels and INDCOMMBK CHINA
0.69 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Choice and INDCOMMBK is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding Choice Hotels International and INDCOMMBK CHINA ADR20 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on INDCOMMBK CHINA ADR20 and Choice Hotels 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 Choice Hotels International are associated (or correlated) with INDCOMMBK CHINA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of INDCOMMBK CHINA ADR20 has no effect on the direction of Choice Hotels i.e., Choice Hotels and INDCOMMBK CHINA go up and down completely randomly.
Pair Corralation between Choice Hotels and INDCOMMBK CHINA
Assuming the 90 days horizon Choice Hotels International is expected to generate 0.54 times more return on investment than INDCOMMBK CHINA. However, Choice Hotels International is 1.84 times less risky than INDCOMMBK CHINA. It trades about 0.26 of its potential returns per unit of risk. INDCOMMBK CHINA ADR20 is currently generating about 0.11 per unit of risk. If you would invest 10,773 in Choice Hotels International on September 12, 2024 and sell it today you would earn a total of 3,127 from holding Choice Hotels International or generate 29.03% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Choice Hotels International vs. INDCOMMBK CHINA ADR20
Performance |
Timeline |
Choice Hotels Intern |
INDCOMMBK CHINA ADR20 |
Choice Hotels and INDCOMMBK CHINA Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Choice Hotels and INDCOMMBK CHINA
The main advantage of trading using opposite Choice Hotels and INDCOMMBK CHINA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Choice Hotels position performs unexpectedly, INDCOMMBK CHINA 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 INDCOMMBK CHINA will offset losses from the drop in INDCOMMBK CHINA's long position.Choice Hotels vs. SIEM OFFSHORE NEW | Choice Hotels vs. ULTRA CLEAN HLDGS | Choice Hotels vs. MSAD INSURANCE | Choice Hotels vs. Goosehead Insurance |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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