Correlation Between CHINA CONBANK and Herman Miller
Can any of the company-specific risk be diversified away by investing in both CHINA CONBANK and Herman Miller 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 CHINA CONBANK and Herman Miller into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CHINA BANK ADR20 and Herman Miller, you can compare the effects of market volatilities on CHINA CONBANK and Herman Miller 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 CHINA CONBANK with a short position of Herman Miller. Check out your portfolio center. Please also check ongoing floating volatility patterns of CHINA CONBANK and Herman Miller.
Diversification Opportunities for CHINA CONBANK and Herman Miller
-0.61 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between CHINA and Herman is -0.61. Overlapping area represents the amount of risk that can be diversified away by holding CHINA BANK ADR20 and Herman Miller in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Herman Miller and CHINA CONBANK 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 CHINA BANK ADR20 are associated (or correlated) with Herman Miller. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Herman Miller has no effect on the direction of CHINA CONBANK i.e., CHINA CONBANK and Herman Miller go up and down completely randomly.
Pair Corralation between CHINA CONBANK and Herman Miller
Assuming the 90 days trading horizon CHINA CONBANK is expected to generate 7.64 times less return on investment than Herman Miller. But when comparing it to its historical volatility, CHINA BANK ADR20 is 2.03 times less risky than Herman Miller. It trades about 0.09 of its potential returns per unit of risk. Herman Miller is currently generating about 0.34 of returns per unit of risk over similar time horizon. If you would invest 2,064 in Herman Miller on September 5, 2024 and sell it today you would earn a total of 376.00 from holding Herman Miller or generate 18.22% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
CHINA BANK ADR20 vs. Herman Miller
Performance |
Timeline |
CHINA BANK ADR20 |
Herman Miller |
CHINA CONBANK and Herman Miller Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CHINA CONBANK and Herman Miller
The main advantage of trading using opposite CHINA CONBANK and Herman Miller positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CHINA CONBANK position performs unexpectedly, Herman Miller 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 Herman Miller will offset losses from the drop in Herman Miller's long position.CHINA CONBANK vs. INDCOMMBK CHINA ADR20 | CHINA CONBANK vs. Industrial and Commercial | CHINA CONBANK vs. AGRICULTBK HADR25 YC | CHINA CONBANK vs. COMMONWBK AUSTRSPADRS |
Herman Miller vs. Nordic Semiconductor ASA | Herman Miller vs. Spirent Communications plc | Herman Miller vs. Singapore Telecommunications Limited | Herman Miller vs. Magnachip Semiconductor |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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