Correlation Between Suzhou Oriental and Fujian Longzhou
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By analyzing existing cross correlation between Suzhou Oriental Semiconductor and Fujian Longzhou Transportation, you can compare the effects of market volatilities on Suzhou Oriental and Fujian Longzhou 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 Suzhou Oriental with a short position of Fujian Longzhou. Check out your portfolio center. Please also check ongoing floating volatility patterns of Suzhou Oriental and Fujian Longzhou.
Diversification Opportunities for Suzhou Oriental and Fujian Longzhou
0.22 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Suzhou and Fujian is 0.22. Overlapping area represents the amount of risk that can be diversified away by holding Suzhou Oriental Semiconductor and Fujian Longzhou Transportation in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fujian Longzhou Tran and Suzhou Oriental 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 Suzhou Oriental Semiconductor are associated (or correlated) with Fujian Longzhou. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fujian Longzhou Tran has no effect on the direction of Suzhou Oriental i.e., Suzhou Oriental and Fujian Longzhou go up and down completely randomly.
Pair Corralation between Suzhou Oriental and Fujian Longzhou
Assuming the 90 days trading horizon Suzhou Oriental Semiconductor is expected to under-perform the Fujian Longzhou. But the stock apears to be less risky and, when comparing its historical volatility, Suzhou Oriental Semiconductor is 1.09 times less risky than Fujian Longzhou. The stock trades about -0.05 of its potential returns per unit of risk. The Fujian Longzhou Transportation is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 400.00 in Fujian Longzhou Transportation on October 6, 2024 and sell it today you would lose (2.00) from holding Fujian Longzhou Transportation or give up 0.5% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Suzhou Oriental Semiconductor vs. Fujian Longzhou Transportation
Performance |
Timeline |
Suzhou Oriental Semi |
Fujian Longzhou Tran |
Suzhou Oriental and Fujian Longzhou Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Suzhou Oriental and Fujian Longzhou
The main advantage of trading using opposite Suzhou Oriental and Fujian Longzhou positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Suzhou Oriental position performs unexpectedly, Fujian Longzhou 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 Fujian Longzhou will offset losses from the drop in Fujian Longzhou's long position.Suzhou Oriental vs. Jinhe Biotechnology Co | Suzhou Oriental vs. Maccura Biotechnology Co | Suzhou Oriental vs. Qumei Furniture Group | Suzhou Oriental vs. Mengtian Home Group |
Fujian Longzhou vs. Anhui Xinhua Media | Fujian Longzhou vs. Tianshui Huatian Technology | Fujian Longzhou vs. Guangdong Jinma Entertainment | Fujian Longzhou vs. Guangzhou Jinyi Media |
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 Sync Your Broker module to sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors..
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