Correlation Between Financial Street and Rongsheng Petrochemical
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By analyzing existing cross correlation between Financial Street Holdings and Rongsheng Petrochemical Co, you can compare the effects of market volatilities on Financial Street and Rongsheng Petrochemical 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 Financial Street with a short position of Rongsheng Petrochemical. Check out your portfolio center. Please also check ongoing floating volatility patterns of Financial Street and Rongsheng Petrochemical.
Diversification Opportunities for Financial Street and Rongsheng Petrochemical
0.6 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Financial and Rongsheng is 0.6. Overlapping area represents the amount of risk that can be diversified away by holding Financial Street Holdings and Rongsheng Petrochemical Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Rongsheng Petrochemical and Financial Street 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 Financial Street Holdings are associated (or correlated) with Rongsheng Petrochemical. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Rongsheng Petrochemical has no effect on the direction of Financial Street i.e., Financial Street and Rongsheng Petrochemical go up and down completely randomly.
Pair Corralation between Financial Street and Rongsheng Petrochemical
Assuming the 90 days trading horizon Financial Street Holdings is expected to generate 2.25 times more return on investment than Rongsheng Petrochemical. However, Financial Street is 2.25 times more volatile than Rongsheng Petrochemical Co. It trades about 0.14 of its potential returns per unit of risk. Rongsheng Petrochemical Co is currently generating about 0.04 per unit of risk. If you would invest 211.00 in Financial Street Holdings on October 3, 2024 and sell it today you would earn a total of 115.00 from holding Financial Street Holdings or generate 54.5% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Financial Street Holdings vs. Rongsheng Petrochemical Co
Performance |
Timeline |
Financial Street Holdings |
Rongsheng Petrochemical |
Financial Street and Rongsheng Petrochemical Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Financial Street and Rongsheng Petrochemical
The main advantage of trading using opposite Financial Street and Rongsheng Petrochemical positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Financial Street position performs unexpectedly, Rongsheng Petrochemical 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 Rongsheng Petrochemical will offset losses from the drop in Rongsheng Petrochemical's long position.Financial Street vs. Cambricon Technologies Corp | Financial Street vs. SGSG Sciencetechnology Co | Financial Street vs. Loongson Technology Corp | Financial Street vs. Shenzhen Fortune Trend |
Rongsheng Petrochemical vs. Zijin Mining Group | Rongsheng Petrochemical vs. Wanhua Chemical Group | Rongsheng Petrochemical vs. Baoshan Iron Steel | Rongsheng Petrochemical vs. Shandong Gold Mining |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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