Correlation Between Baoshan Iron and Tibet Huayu
Specify exactly 2 symbols:
By analyzing existing cross correlation between Baoshan Iron Steel and Tibet Huayu Mining, you can compare the effects of market volatilities on Baoshan Iron and Tibet Huayu 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 Baoshan Iron with a short position of Tibet Huayu. Check out your portfolio center. Please also check ongoing floating volatility patterns of Baoshan Iron and Tibet Huayu.
Diversification Opportunities for Baoshan Iron and Tibet Huayu
0.18 | Correlation Coefficient |
Average diversification
The 3 months correlation between Baoshan and Tibet is 0.18. Overlapping area represents the amount of risk that can be diversified away by holding Baoshan Iron Steel and Tibet Huayu Mining in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tibet Huayu Mining and Baoshan Iron 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 Baoshan Iron Steel are associated (or correlated) with Tibet Huayu. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tibet Huayu Mining has no effect on the direction of Baoshan Iron i.e., Baoshan Iron and Tibet Huayu go up and down completely randomly.
Pair Corralation between Baoshan Iron and Tibet Huayu
Assuming the 90 days trading horizon Baoshan Iron is expected to generate 8.87 times less return on investment than Tibet Huayu. But when comparing it to its historical volatility, Baoshan Iron Steel is 1.26 times less risky than Tibet Huayu. It trades about 0.05 of its potential returns per unit of risk. Tibet Huayu Mining is currently generating about 0.38 of returns per unit of risk over similar time horizon. If you would invest 1,193 in Tibet Huayu Mining on November 6, 2024 and sell it today you would earn a total of 188.00 from holding Tibet Huayu Mining or generate 15.76% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Baoshan Iron Steel vs. Tibet Huayu Mining
Performance |
Timeline |
Baoshan Iron Steel |
Tibet Huayu Mining |
Baoshan Iron and Tibet Huayu Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Baoshan Iron and Tibet Huayu
The main advantage of trading using opposite Baoshan Iron and Tibet Huayu positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Baoshan Iron position performs unexpectedly, Tibet Huayu 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 Tibet Huayu will offset losses from the drop in Tibet Huayu's long position.Baoshan Iron vs. Cabio Biotech Wuhan | Baoshan Iron vs. Zhengping RoadBridge Constr | Baoshan Iron vs. HanS Laser Tech | Baoshan Iron vs. Jiangsu Broadcasting Cable |
Tibet Huayu vs. Cultural Investment Holdings | Tibet Huayu vs. Zhongrun Resources Investment | Tibet Huayu vs. Shanghai Material Trading | Tibet Huayu vs. China Sports Industry |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
Other Complementary Tools
Performance Analysis Check effects of mean-variance optimization against your current asset allocation | |
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
Commodity Directory Find actively traded commodities issued by global exchanges | |
Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets | |
My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like |