Correlation Between TongFu Microelectronics and Ningbo Homelink
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By analyzing existing cross correlation between TongFu Microelectronics Co and Ningbo Homelink Eco iTech, you can compare the effects of market volatilities on TongFu Microelectronics and Ningbo Homelink 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 TongFu Microelectronics with a short position of Ningbo Homelink. Check out your portfolio center. Please also check ongoing floating volatility patterns of TongFu Microelectronics and Ningbo Homelink.
Diversification Opportunities for TongFu Microelectronics and Ningbo Homelink
0.49 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between TongFu and Ningbo is 0.49. Overlapping area represents the amount of risk that can be diversified away by holding TongFu Microelectronics Co and Ningbo Homelink Eco iTech in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ningbo Homelink Eco and TongFu Microelectronics 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 TongFu Microelectronics Co are associated (or correlated) with Ningbo Homelink. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ningbo Homelink Eco has no effect on the direction of TongFu Microelectronics i.e., TongFu Microelectronics and Ningbo Homelink go up and down completely randomly.
Pair Corralation between TongFu Microelectronics and Ningbo Homelink
Assuming the 90 days trading horizon TongFu Microelectronics Co is expected to generate 1.23 times more return on investment than Ningbo Homelink. However, TongFu Microelectronics is 1.23 times more volatile than Ningbo Homelink Eco iTech. It trades about 0.04 of its potential returns per unit of risk. Ningbo Homelink Eco iTech is currently generating about -0.02 per unit of risk. If you would invest 1,851 in TongFu Microelectronics Co on October 14, 2024 and sell it today you would earn a total of 944.00 from holding TongFu Microelectronics Co or generate 51.0% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
TongFu Microelectronics Co vs. Ningbo Homelink Eco iTech
Performance |
| Timeline |
| TongFu Microelectronics |
| Ningbo Homelink Eco |
TongFu Microelectronics and Ningbo Homelink Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with TongFu Microelectronics and Ningbo Homelink
The main advantage of trading using opposite TongFu Microelectronics and Ningbo Homelink positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if TongFu Microelectronics position performs unexpectedly, Ningbo Homelink 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 Ningbo Homelink will offset losses from the drop in Ningbo Homelink's long position.The idea behind TongFu Microelectronics Co and Ningbo Homelink Eco iTech 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 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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