Correlation Between Beijing Jiaman and Integrated Electronic
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By analyzing existing cross correlation between Beijing Jiaman Dress and Integrated Electronic Systems, you can compare the effects of market volatilities on Beijing Jiaman and Integrated Electronic 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 Beijing Jiaman with a short position of Integrated Electronic. Check out your portfolio center. Please also check ongoing floating volatility patterns of Beijing Jiaman and Integrated Electronic.
Diversification Opportunities for Beijing Jiaman and Integrated Electronic
0.63 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Beijing and Integrated is 0.63. Overlapping area represents the amount of risk that can be diversified away by holding Beijing Jiaman Dress and Integrated Electronic Systems in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Integrated Electronic and Beijing Jiaman 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 Beijing Jiaman Dress are associated (or correlated) with Integrated Electronic. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Integrated Electronic has no effect on the direction of Beijing Jiaman i.e., Beijing Jiaman and Integrated Electronic go up and down completely randomly.
Pair Corralation between Beijing Jiaman and Integrated Electronic
Assuming the 90 days trading horizon Beijing Jiaman Dress is expected to under-perform the Integrated Electronic. But the stock apears to be less risky and, when comparing its historical volatility, Beijing Jiaman Dress is 1.41 times less risky than Integrated Electronic. The stock trades about 0.0 of its potential returns per unit of risk. The Integrated Electronic Systems is currently generating about 0.0 of returns per unit of risk over similar time horizon. If you would invest 839.00 in Integrated Electronic Systems on October 28, 2024 and sell it today you would lose (166.00) from holding Integrated Electronic Systems or give up 19.79% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Beijing Jiaman Dress vs. Integrated Electronic Systems
Performance |
| Timeline |
| Beijing Jiaman Dress |
| Integrated Electronic |
Beijing Jiaman and Integrated Electronic Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Beijing Jiaman and Integrated Electronic
The main advantage of trading using opposite Beijing Jiaman and Integrated Electronic positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Beijing Jiaman position performs unexpectedly, Integrated Electronic 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 Integrated Electronic will offset losses from the drop in Integrated Electronic's long position.| Beijing Jiaman vs. Shanghai Ziyan Foods | Beijing Jiaman vs. Hunan Investment Group | Beijing Jiaman vs. Shanghai Material Trading | Beijing Jiaman vs. Xiamen Jihong Package |
| Integrated Electronic vs. CICC Fund Management | Integrated Electronic vs. Sanbo Hospital Management | Integrated Electronic vs. Nanjing OLO Home | Integrated Electronic vs. Zoy Home Furnishing |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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