Correlation Between Chongqing Shunbo and Westone Information
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By analyzing existing cross correlation between Chongqing Shunbo Aluminum and Westone Information Industry, you can compare the effects of market volatilities on Chongqing Shunbo and Westone Information 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 Chongqing Shunbo with a short position of Westone Information. Check out your portfolio center. Please also check ongoing floating volatility patterns of Chongqing Shunbo and Westone Information.
Diversification Opportunities for Chongqing Shunbo and Westone Information
0.45 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Chongqing and Westone is 0.45. Overlapping area represents the amount of risk that can be diversified away by holding Chongqing Shunbo Aluminum and Westone Information Industry in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Westone Information and Chongqing Shunbo 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 Chongqing Shunbo Aluminum are associated (or correlated) with Westone Information. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Westone Information has no effect on the direction of Chongqing Shunbo i.e., Chongqing Shunbo and Westone Information go up and down completely randomly.
Pair Corralation between Chongqing Shunbo and Westone Information
Assuming the 90 days trading horizon Chongqing Shunbo Aluminum is expected to under-perform the Westone Information. But the stock apears to be less risky and, when comparing its historical volatility, Chongqing Shunbo Aluminum is 1.15 times less risky than Westone Information. The stock trades about -0.06 of its potential returns per unit of risk. The Westone Information Industry is currently generating about -0.04 of returns per unit of risk over similar time horizon. If you would invest 1,813 in Westone Information Industry on December 2, 2024 and sell it today you would lose (113.00) from holding Westone Information Industry or give up 6.23% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Chongqing Shunbo Aluminum vs. Westone Information Industry
Performance |
Timeline |
Chongqing Shunbo Aluminum |
Westone Information |
Chongqing Shunbo and Westone Information Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Chongqing Shunbo and Westone Information
The main advantage of trading using opposite Chongqing Shunbo and Westone Information positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Chongqing Shunbo position performs unexpectedly, Westone Information 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 Westone Information will offset losses from the drop in Westone Information's long position.Chongqing Shunbo vs. Liuzhou Iron Steel | Chongqing Shunbo vs. Sichuan Yahua Industrial | Chongqing Shunbo vs. Eit Environmental Development | Chongqing Shunbo vs. Sinosteel Engineering and |
Westone Information vs. Sinomach Automobile Co | Westone Information vs. Zotye Automobile Co | Westone Information vs. Tangel Publishing | Westone Information vs. Xinhua Winshare Publishing |
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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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