Correlation Between Rising Nonferrous and Shenzhen Bingchuan
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By analyzing existing cross correlation between Rising Nonferrous Metals and Shenzhen Bingchuan Network, you can compare the effects of market volatilities on Rising Nonferrous and Shenzhen Bingchuan 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 Rising Nonferrous with a short position of Shenzhen Bingchuan. Check out your portfolio center. Please also check ongoing floating volatility patterns of Rising Nonferrous and Shenzhen Bingchuan.
Diversification Opportunities for Rising Nonferrous and Shenzhen Bingchuan
0.71 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Rising and Shenzhen is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding Rising Nonferrous Metals and Shenzhen Bingchuan Network in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shenzhen Bingchuan and Rising Nonferrous 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 Rising Nonferrous Metals are associated (or correlated) with Shenzhen Bingchuan. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Shenzhen Bingchuan has no effect on the direction of Rising Nonferrous i.e., Rising Nonferrous and Shenzhen Bingchuan go up and down completely randomly.
Pair Corralation between Rising Nonferrous and Shenzhen Bingchuan
Assuming the 90 days trading horizon Rising Nonferrous Metals is expected to under-perform the Shenzhen Bingchuan. But the stock apears to be less risky and, when comparing its historical volatility, Rising Nonferrous Metals is 2.36 times less risky than Shenzhen Bingchuan. The stock trades about -0.13 of its potential returns per unit of risk. The Shenzhen Bingchuan Network is currently generating about 0.26 of returns per unit of risk over similar time horizon. If you would invest 2,128 in Shenzhen Bingchuan Network on September 15, 2024 and sell it today you would earn a total of 580.00 from holding Shenzhen Bingchuan Network or generate 27.26% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Rising Nonferrous Metals vs. Shenzhen Bingchuan Network
Performance |
Timeline |
Rising Nonferrous Metals |
Shenzhen Bingchuan |
Rising Nonferrous and Shenzhen Bingchuan Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Rising Nonferrous and Shenzhen Bingchuan
The main advantage of trading using opposite Rising Nonferrous and Shenzhen Bingchuan positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Rising Nonferrous position performs unexpectedly, Shenzhen Bingchuan 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 Shenzhen Bingchuan will offset losses from the drop in Shenzhen Bingchuan's long position.Rising Nonferrous vs. Zijin Mining Group | Rising Nonferrous vs. Wanhua Chemical Group | Rising Nonferrous vs. Baoshan Iron Steel | Rising Nonferrous vs. Shandong Gold Mining |
Shenzhen Bingchuan vs. Sino Platinum Metals Co | Shenzhen Bingchuan vs. CIMC Vehicles Co | Shenzhen Bingchuan vs. Rising Nonferrous Metals | Shenzhen Bingchuan vs. Pengxin International 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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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