Correlation Between Jiahe Foods and China Citic
Specify exactly 2 symbols:
By analyzing existing cross correlation between Jiahe Foods Industry and China Citic Bank, you can compare the effects of market volatilities on Jiahe Foods and China Citic 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 Jiahe Foods with a short position of China Citic. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jiahe Foods and China Citic.
Diversification Opportunities for Jiahe Foods and China Citic
0.66 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Jiahe and China is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding Jiahe Foods Industry and China Citic Bank in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on China Citic Bank and Jiahe Foods 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 Jiahe Foods Industry are associated (or correlated) with China Citic. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of China Citic Bank has no effect on the direction of Jiahe Foods i.e., Jiahe Foods and China Citic go up and down completely randomly.
Pair Corralation between Jiahe Foods and China Citic
Assuming the 90 days trading horizon Jiahe Foods Industry is expected to under-perform the China Citic. In addition to that, Jiahe Foods is 1.43 times more volatile than China Citic Bank. It trades about 0.0 of its total potential returns per unit of risk. China Citic Bank is currently generating about 0.05 per unit of volatility. If you would invest 481.00 in China Citic Bank on September 29, 2024 and sell it today you would earn a total of 213.00 from holding China Citic Bank or generate 44.28% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Jiahe Foods Industry vs. China Citic Bank
Performance |
Timeline |
Jiahe Foods Industry |
China Citic Bank |
Jiahe Foods and China Citic Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jiahe Foods and China Citic
The main advantage of trading using opposite Jiahe Foods and China Citic positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jiahe Foods position performs unexpectedly, China Citic 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 China Citic will offset losses from the drop in China Citic's long position.Jiahe Foods vs. Ming Yang Smart | Jiahe Foods vs. 159681 | Jiahe Foods vs. 159005 | Jiahe Foods vs. Loctek Ergonomic Technology |
China Citic vs. Xiangpiaopiao Food Co | China Citic vs. Jiahe Foods Industry | China Citic vs. Montage Technology Co | China Citic vs. Tianshui Huatian 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 Cryptocurrency Center module to build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency.
Other Complementary Tools
Price Ceiling Movement Calculate and plot Price Ceiling Movement for different equity instruments | |
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 | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
Bonds Directory Find actively traded corporate debentures issued by US companies |