Correlation Between TongFu Microelectronics and Jinsanjiang (Zhaoqing)
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By analyzing existing cross correlation between TongFu Microelectronics Co and Jinsanjiang Silicon Material, you can compare the effects of market volatilities on TongFu Microelectronics and Jinsanjiang (Zhaoqing) 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 Jinsanjiang (Zhaoqing). Check out your portfolio center. Please also check ongoing floating volatility patterns of TongFu Microelectronics and Jinsanjiang (Zhaoqing).
Diversification Opportunities for TongFu Microelectronics and Jinsanjiang (Zhaoqing)
0.1 | Correlation Coefficient |
Average diversification
The 3 months correlation between TongFu and Jinsanjiang is 0.1. Overlapping area represents the amount of risk that can be diversified away by holding TongFu Microelectronics Co and Jinsanjiang Silicon Material in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jinsanjiang (Zhaoqing) 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 Jinsanjiang (Zhaoqing). Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jinsanjiang (Zhaoqing) has no effect on the direction of TongFu Microelectronics i.e., TongFu Microelectronics and Jinsanjiang (Zhaoqing) go up and down completely randomly.
Pair Corralation between TongFu Microelectronics and Jinsanjiang (Zhaoqing)
Assuming the 90 days trading horizon TongFu Microelectronics Co is expected to under-perform the Jinsanjiang (Zhaoqing). But the stock apears to be less risky and, when comparing its historical volatility, TongFu Microelectronics Co is 1.21 times less risky than Jinsanjiang (Zhaoqing). The stock trades about -0.07 of its potential returns per unit of risk. The Jinsanjiang Silicon Material is currently generating about 0.0 of returns per unit of risk over similar time horizon. If you would invest 1,227 in Jinsanjiang Silicon Material on December 26, 2024 and sell it today you would lose (28.00) from holding Jinsanjiang Silicon Material or give up 2.28% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
TongFu Microelectronics Co vs. Jinsanjiang Silicon Material
Performance |
Timeline |
TongFu Microelectronics |
Jinsanjiang (Zhaoqing) |
TongFu Microelectronics and Jinsanjiang (Zhaoqing) Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with TongFu Microelectronics and Jinsanjiang (Zhaoqing)
The main advantage of trading using opposite TongFu Microelectronics and Jinsanjiang (Zhaoqing) positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if TongFu Microelectronics position performs unexpectedly, Jinsanjiang (Zhaoqing) 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 Jinsanjiang (Zhaoqing) will offset losses from the drop in Jinsanjiang (Zhaoqing)'s long position.TongFu Microelectronics vs. Shanghai Ziyan Foods | TongFu Microelectronics vs. Linkage Software Co | TongFu Microelectronics vs. Jiangsu Jinling Sports | TongFu Microelectronics vs. Servyou Software Group |
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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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