Correlation Between IND+COMMBK CHINA and Bridgestone
Can any of the company-specific risk be diversified away by investing in both IND+COMMBK CHINA and Bridgestone 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 IND+COMMBK CHINA and Bridgestone into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between INDCOMMBK CHINA ADR20 and Bridgestone, you can compare the effects of market volatilities on IND+COMMBK CHINA and Bridgestone 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 IND+COMMBK CHINA with a short position of Bridgestone. Check out your portfolio center. Please also check ongoing floating volatility patterns of IND+COMMBK CHINA and Bridgestone.
Diversification Opportunities for IND+COMMBK CHINA and Bridgestone
0.66 | Correlation Coefficient |
Poor diversification
The 3 months correlation between IND+COMMBK and Bridgestone is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding INDCOMMBK CHINA ADR20 and Bridgestone in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bridgestone and IND+COMMBK CHINA 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 INDCOMMBK CHINA ADR20 are associated (or correlated) with Bridgestone. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bridgestone has no effect on the direction of IND+COMMBK CHINA i.e., IND+COMMBK CHINA and Bridgestone go up and down completely randomly.
Pair Corralation between IND+COMMBK CHINA and Bridgestone
Assuming the 90 days trading horizon IND+COMMBK CHINA is expected to generate 1.99 times less return on investment than Bridgestone. But when comparing it to its historical volatility, INDCOMMBK CHINA ADR20 is 1.13 times less risky than Bridgestone. It trades about 0.09 of its potential returns per unit of risk. Bridgestone is currently generating about 0.16 of returns per unit of risk over similar time horizon. If you would invest 3,198 in Bridgestone on December 24, 2024 and sell it today you would earn a total of 580.00 from holding Bridgestone or generate 18.14% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
INDCOMMBK CHINA ADR20 vs. Bridgestone
Performance |
Timeline |
INDCOMMBK CHINA ADR20 |
Bridgestone |
IND+COMMBK CHINA and Bridgestone Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with IND+COMMBK CHINA and Bridgestone
The main advantage of trading using opposite IND+COMMBK CHINA and Bridgestone positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IND+COMMBK CHINA position performs unexpectedly, Bridgestone 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 Bridgestone will offset losses from the drop in Bridgestone's long position.IND+COMMBK CHINA vs. AEON METALS LTD | IND+COMMBK CHINA vs. Retail Estates NV | IND+COMMBK CHINA vs. TRADELINK ELECTRON | IND+COMMBK CHINA vs. AUSTRALASIAN METALS LTD |
Bridgestone vs. CVR Medical Corp | Bridgestone vs. IMAGIN MEDICAL INC | Bridgestone vs. SPECTRAL MEDICAL | Bridgestone vs. Comba Telecom Systems |
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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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