Correlation Between Guangdong Shenglu and Shanghai Jinfeng
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By analyzing existing cross correlation between Guangdong Shenglu Telecommunication and Shanghai Jinfeng Wine, you can compare the effects of market volatilities on Guangdong Shenglu and Shanghai Jinfeng 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 Shanghai Jinfeng. Check out your portfolio center. Please also check ongoing floating volatility patterns of Guangdong Shenglu and Shanghai Jinfeng.
Diversification Opportunities for Guangdong Shenglu and Shanghai Jinfeng
0.79 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Guangdong and Shanghai is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding Guangdong Shenglu Telecommunic and Shanghai Jinfeng Wine in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shanghai Jinfeng Wine 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 Shanghai Jinfeng. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Shanghai Jinfeng Wine has no effect on the direction of Guangdong Shenglu i.e., Guangdong Shenglu and Shanghai Jinfeng go up and down completely randomly.
Pair Corralation between Guangdong Shenglu and Shanghai Jinfeng
Assuming the 90 days trading horizon Guangdong Shenglu Telecommunication is expected to under-perform the Shanghai Jinfeng. But the stock apears to be less risky and, when comparing its historical volatility, Guangdong Shenglu Telecommunication is 1.71 times less risky than Shanghai Jinfeng. The stock trades about 0.0 of its potential returns per unit of risk. The Shanghai Jinfeng Wine is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 611.00 in Shanghai Jinfeng Wine on September 22, 2024 and sell it today you would earn a total of 29.00 from holding Shanghai Jinfeng Wine or generate 4.75% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Guangdong Shenglu Telecommunic vs. Shanghai Jinfeng Wine
Performance |
Timeline |
Guangdong Shenglu |
Shanghai Jinfeng Wine |
Guangdong Shenglu and Shanghai Jinfeng Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Guangdong Shenglu and Shanghai Jinfeng
The main advantage of trading using opposite Guangdong Shenglu and Shanghai Jinfeng positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Guangdong Shenglu position performs unexpectedly, Shanghai Jinfeng 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 Shanghai Jinfeng will offset losses from the drop in Shanghai Jinfeng's long position.Guangdong Shenglu vs. Digital China Information | Guangdong Shenglu vs. Anhui Jianghuai Automobile | Guangdong Shenglu vs. ZJBC Information Technology | Guangdong Shenglu vs. Guangzhou Ruoyuchen Information |
Shanghai Jinfeng vs. Westone Information Industry | Shanghai Jinfeng vs. Shanghai Yanpu Metal | Shanghai Jinfeng vs. Anhui Transport Consulting | Shanghai Jinfeng vs. China Aluminum International |
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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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