Correlation Between Fiberhome Telecommunicatio and Sany Heavy
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By analyzing existing cross correlation between Fiberhome Telecommunication Technologies and Sany Heavy Energy, you can compare the effects of market volatilities on Fiberhome Telecommunicatio and Sany Heavy 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 Fiberhome Telecommunicatio with a short position of Sany Heavy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fiberhome Telecommunicatio and Sany Heavy.
Diversification Opportunities for Fiberhome Telecommunicatio and Sany Heavy
0.39 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Fiberhome and Sany is 0.39. Overlapping area represents the amount of risk that can be diversified away by holding Fiberhome Telecommunication Te and Sany Heavy Energy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sany Heavy Energy and Fiberhome 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 Fiberhome Telecommunication Technologies are associated (or correlated) with Sany Heavy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sany Heavy Energy has no effect on the direction of Fiberhome Telecommunicatio i.e., Fiberhome Telecommunicatio and Sany Heavy go up and down completely randomly.
Pair Corralation between Fiberhome Telecommunicatio and Sany Heavy
Assuming the 90 days trading horizon Fiberhome Telecommunication Technologies is expected to under-perform the Sany Heavy. In addition to that, Fiberhome Telecommunicatio is 1.21 times more volatile than Sany Heavy Energy. It trades about -0.07 of its total potential returns per unit of risk. Sany Heavy Energy is currently generating about -0.06 per unit of volatility. If you would invest 3,059 in Sany Heavy Energy on October 7, 2024 and sell it today you would lose (199.00) from holding Sany Heavy Energy or give up 6.51% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Fiberhome Telecommunication Te vs. Sany Heavy Energy
Performance |
Timeline |
Fiberhome Telecommunicatio |
Sany Heavy Energy |
Fiberhome Telecommunicatio and Sany Heavy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fiberhome Telecommunicatio and Sany Heavy
The main advantage of trading using opposite Fiberhome Telecommunicatio and Sany Heavy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fiberhome Telecommunicatio position performs unexpectedly, Sany Heavy 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 Sany Heavy will offset losses from the drop in Sany Heavy's long position.The idea behind Fiberhome Telecommunication Technologies and Sany Heavy Energy pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.
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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 Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..
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