Correlation Between Guangdong Shenglu and Suzhou Dongshan
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By analyzing existing cross correlation between Guangdong Shenglu Telecommunication and Suzhou Dongshan Precision, you can compare the effects of market volatilities on Guangdong Shenglu and Suzhou Dongshan 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 Guangdong Shenglu with a short position of Suzhou Dongshan. Check out your portfolio center. Please also check ongoing floating volatility patterns of Guangdong Shenglu and Suzhou Dongshan.
Diversification Opportunities for Guangdong Shenglu and Suzhou Dongshan
-0.31 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Guangdong and Suzhou is -0.31. Overlapping area represents the amount of risk that can be diversified away by holding Guangdong Shenglu Telecommunic and Suzhou Dongshan Precision in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Suzhou Dongshan Precision and Guangdong Shenglu 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 Guangdong Shenglu Telecommunication are associated (or correlated) with Suzhou Dongshan. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Suzhou Dongshan Precision has no effect on the direction of Guangdong Shenglu i.e., Guangdong Shenglu and Suzhou Dongshan go up and down completely randomly.
Pair Corralation between Guangdong Shenglu and Suzhou Dongshan
Assuming the 90 days trading horizon Guangdong Shenglu Telecommunication is expected to under-perform the Suzhou Dongshan. But the stock apears to be less risky and, when comparing its historical volatility, Guangdong Shenglu Telecommunication is 1.32 times less risky than Suzhou Dongshan. The stock trades about -0.07 of its potential returns per unit of risk. The Suzhou Dongshan Precision is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 2,527 in Suzhou Dongshan Precision on October 25, 2024 and sell it today you would earn a total of 840.00 from holding Suzhou Dongshan Precision or generate 33.24% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.44% |
Values | Daily Returns |
Guangdong Shenglu Telecommunic vs. Suzhou Dongshan Precision
Performance |
Timeline |
Guangdong Shenglu |
Suzhou Dongshan Precision |
Guangdong Shenglu and Suzhou Dongshan Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Guangdong Shenglu and Suzhou Dongshan
The main advantage of trading using opposite Guangdong Shenglu and Suzhou Dongshan positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Guangdong Shenglu position performs unexpectedly, Suzhou Dongshan 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 Suzhou Dongshan will offset losses from the drop in Suzhou Dongshan's long position.Guangdong Shenglu vs. Bus Online Co | Guangdong Shenglu vs. Holitech Technology Co | Guangdong Shenglu vs. Gome Telecom Equipment | Guangdong Shenglu vs. Cultural Investment Holdings |
Suzhou Dongshan vs. Kweichow Moutai Co | Suzhou Dongshan vs. NAURA Technology Group | Suzhou Dongshan vs. APT Medical | Suzhou Dongshan vs. BYD Co Ltd |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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