Correlation Between Giantec Semiconductor and Hangzhou Gaoxin
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By analyzing existing cross correlation between Giantec Semiconductor Corp and Hangzhou Gaoxin Rubber, you can compare the effects of market volatilities on Giantec Semiconductor and Hangzhou Gaoxin 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 Giantec Semiconductor with a short position of Hangzhou Gaoxin. Check out your portfolio center. Please also check ongoing floating volatility patterns of Giantec Semiconductor and Hangzhou Gaoxin.
Diversification Opportunities for Giantec Semiconductor and Hangzhou Gaoxin
0.15 | Correlation Coefficient |
Average diversification
The 3 months correlation between Giantec and Hangzhou is 0.15. Overlapping area represents the amount of risk that can be diversified away by holding Giantec Semiconductor Corp and Hangzhou Gaoxin Rubber in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hangzhou Gaoxin Rubber and Giantec Semiconductor 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 Giantec Semiconductor Corp are associated (or correlated) with Hangzhou Gaoxin. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hangzhou Gaoxin Rubber has no effect on the direction of Giantec Semiconductor i.e., Giantec Semiconductor and Hangzhou Gaoxin go up and down completely randomly.
Pair Corralation between Giantec Semiconductor and Hangzhou Gaoxin
Assuming the 90 days trading horizon Giantec Semiconductor Corp is expected to under-perform the Hangzhou Gaoxin. But the stock apears to be less risky and, when comparing its historical volatility, Giantec Semiconductor Corp is 1.04 times less risky than Hangzhou Gaoxin. The stock trades about -0.08 of its potential returns per unit of risk. The Hangzhou Gaoxin Rubber is currently generating about -0.05 of returns per unit of risk over similar time horizon. If you would invest 985.00 in Hangzhou Gaoxin Rubber on October 8, 2024 and sell it today you would lose (154.00) from holding Hangzhou Gaoxin Rubber or give up 15.63% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Giantec Semiconductor Corp vs. Hangzhou Gaoxin Rubber
Performance |
Timeline |
Giantec Semiconductor |
Hangzhou Gaoxin Rubber |
Giantec Semiconductor and Hangzhou Gaoxin Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Giantec Semiconductor and Hangzhou Gaoxin
The main advantage of trading using opposite Giantec Semiconductor and Hangzhou Gaoxin positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Giantec Semiconductor position performs unexpectedly, Hangzhou Gaoxin 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 Hangzhou Gaoxin will offset losses from the drop in Hangzhou Gaoxin's long position.The idea behind Giantec Semiconductor Corp and Hangzhou Gaoxin Rubber 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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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