Correlation Between Allwin Telecommunicatio and Sinosteel Luonai
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By analyzing existing cross correlation between Allwin Telecommunication Co and Sinosteel Luonai Materials, you can compare the effects of market volatilities on Allwin Telecommunicatio and Sinosteel Luonai 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 Allwin Telecommunicatio with a short position of Sinosteel Luonai. Check out your portfolio center. Please also check ongoing floating volatility patterns of Allwin Telecommunicatio and Sinosteel Luonai.
Diversification Opportunities for Allwin Telecommunicatio and Sinosteel Luonai
0.89 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Allwin and Sinosteel is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding Allwin Telecommunication Co and Sinosteel Luonai Materials in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sinosteel Luonai Mat and Allwin Telecommunicatio 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 Allwin Telecommunication Co are associated (or correlated) with Sinosteel Luonai. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sinosteel Luonai Mat has no effect on the direction of Allwin Telecommunicatio i.e., Allwin Telecommunicatio and Sinosteel Luonai go up and down completely randomly.
Pair Corralation between Allwin Telecommunicatio and Sinosteel Luonai
Assuming the 90 days trading horizon Allwin Telecommunication Co is expected to generate 1.32 times more return on investment than Sinosteel Luonai. However, Allwin Telecommunicatio is 1.32 times more volatile than Sinosteel Luonai Materials. It trades about 0.25 of its potential returns per unit of risk. Sinosteel Luonai Materials is currently generating about 0.2 per unit of risk. If you would invest 415.00 in Allwin Telecommunication Co on September 13, 2024 and sell it today you would earn a total of 369.00 from holding Allwin Telecommunication Co or generate 88.92% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Allwin Telecommunication Co vs. Sinosteel Luonai Materials
Performance |
Timeline |
Allwin Telecommunicatio |
Sinosteel Luonai Mat |
Allwin Telecommunicatio and Sinosteel Luonai Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Allwin Telecommunicatio and Sinosteel Luonai
The main advantage of trading using opposite Allwin Telecommunicatio and Sinosteel Luonai positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Allwin Telecommunicatio position performs unexpectedly, Sinosteel Luonai 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 Sinosteel Luonai will offset losses from the drop in Sinosteel Luonai's long position.Allwin Telecommunicatio vs. Industrial and Commercial | Allwin Telecommunicatio vs. China Construction Bank | Allwin Telecommunicatio vs. Bank of China | Allwin Telecommunicatio vs. Agricultural Bank of |
Sinosteel Luonai vs. Zijin Mining Group | Sinosteel Luonai vs. Wanhua Chemical Group | Sinosteel Luonai vs. Baoshan Iron Steel | Sinosteel Luonai vs. Shandong Gold Mining |
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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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