Correlation Between Anhui Transport and Fujian Longzhou
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By analyzing existing cross correlation between Anhui Transport Consulting and Fujian Longzhou Transportation, you can compare the effects of market volatilities on Anhui Transport 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 Anhui Transport with a short position of Fujian Longzhou. Check out your portfolio center. Please also check ongoing floating volatility patterns of Anhui Transport and Fujian Longzhou.
Diversification Opportunities for Anhui Transport and Fujian Longzhou
0.93 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Anhui and Fujian is 0.93. Overlapping area represents the amount of risk that can be diversified away by holding Anhui Transport Consulting 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 Anhui Transport 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 Anhui Transport Consulting 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 Anhui Transport i.e., Anhui Transport and Fujian Longzhou go up and down completely randomly.
Pair Corralation between Anhui Transport and Fujian Longzhou
Assuming the 90 days trading horizon Anhui Transport is expected to generate 3.87 times less return on investment than Fujian Longzhou. But when comparing it to its historical volatility, Anhui Transport Consulting is 1.87 times less risky than Fujian Longzhou. It trades about 0.1 of its potential returns per unit of risk. Fujian Longzhou Transportation is currently generating about 0.21 of returns per unit of risk over similar time horizon. If you would invest 443.00 in Fujian Longzhou Transportation on September 1, 2024 and sell it today you would earn a total of 89.00 from holding Fujian Longzhou Transportation or generate 20.09% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Anhui Transport Consulting vs. Fujian Longzhou Transportation
Performance |
| Timeline |
| Anhui Transport Cons |
| Fujian Longzhou Tran |
Anhui Transport and Fujian Longzhou Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Anhui Transport and Fujian Longzhou
The main advantage of trading using opposite Anhui Transport and Fujian Longzhou positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Anhui Transport 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.| Anhui Transport vs. Biwin Storage Technology | Anhui Transport vs. PetroChina Co Ltd | Anhui Transport vs. Industrial and Commercial | Anhui Transport vs. China Construction Bank |
| Fujian Longzhou vs. Agricultural Bank of | Fujian Longzhou vs. Industrial and Commercial | Fujian Longzhou vs. Bank of China | Fujian Longzhou vs. China Construction Bank |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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