Correlation Between Shanghai Jinfeng and Shanghai Suochen
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By analyzing existing cross correlation between Shanghai Jinfeng Wine and Shanghai Suochen Information, you can compare the effects of market volatilities on Shanghai Jinfeng and Shanghai Suochen 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 Shanghai Jinfeng with a short position of Shanghai Suochen. Check out your portfolio center. Please also check ongoing floating volatility patterns of Shanghai Jinfeng and Shanghai Suochen.
Diversification Opportunities for Shanghai Jinfeng and Shanghai Suochen
-0.16 | Correlation Coefficient |
Good diversification
The 3 months correlation between Shanghai and Shanghai is -0.16. Overlapping area represents the amount of risk that can be diversified away by holding Shanghai Jinfeng Wine and Shanghai Suochen Information in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shanghai Suochen Inf and Shanghai Jinfeng 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 Shanghai Jinfeng Wine are associated (or correlated) with Shanghai Suochen. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Shanghai Suochen Inf has no effect on the direction of Shanghai Jinfeng i.e., Shanghai Jinfeng and Shanghai Suochen go up and down completely randomly.
Pair Corralation between Shanghai Jinfeng and Shanghai Suochen
Assuming the 90 days trading horizon Shanghai Jinfeng Wine is expected to under-perform the Shanghai Suochen. But the stock apears to be less risky and, when comparing its historical volatility, Shanghai Jinfeng Wine is 1.38 times less risky than Shanghai Suochen. The stock trades about -0.06 of its potential returns per unit of risk. The Shanghai Suochen Information is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 7,015 in Shanghai Suochen Information on December 8, 2024 and sell it today you would earn a total of 1,710 from holding Shanghai Suochen Information or generate 24.38% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Shanghai Jinfeng Wine vs. Shanghai Suochen Information
Performance |
Timeline |
Shanghai Jinfeng Wine |
Shanghai Suochen Inf |
Shanghai Jinfeng and Shanghai Suochen Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Shanghai Jinfeng and Shanghai Suochen
The main advantage of trading using opposite Shanghai Jinfeng and Shanghai Suochen positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Shanghai Jinfeng position performs unexpectedly, Shanghai Suochen 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 Suochen will offset losses from the drop in Shanghai Suochen's long position.Shanghai Jinfeng vs. Eastern Communications Co | Shanghai Jinfeng vs. Xiangtan Electrochemical Scientific | Shanghai Jinfeng vs. Runjian Communication Co | Shanghai Jinfeng vs. Beijing Bewinner Communications |
Shanghai Suochen vs. Guangzhou Ruoyuchen Information | Shanghai Suochen vs. Shenzhen SDG Information | Shanghai Suochen vs. Dazhong Transportation Group | Shanghai Suochen vs. Silkroad Visual Technology |
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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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