Correlation Between Beijing SPC and Hua Xia
Specify exactly 2 symbols:
By analyzing existing cross correlation between Beijing SPC Environment and Hua Xia Bank, you can compare the effects of market volatilities on Beijing SPC and Hua Xia 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 Beijing SPC with a short position of Hua Xia. Check out your portfolio center. Please also check ongoing floating volatility patterns of Beijing SPC and Hua Xia.
Diversification Opportunities for Beijing SPC and Hua Xia
0.82 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Beijing and Hua is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding Beijing SPC Environment and Hua Xia Bank in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hua Xia Bank and Beijing SPC 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 Beijing SPC Environment are associated (or correlated) with Hua Xia. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hua Xia Bank has no effect on the direction of Beijing SPC i.e., Beijing SPC and Hua Xia go up and down completely randomly.
Pair Corralation between Beijing SPC and Hua Xia
Assuming the 90 days trading horizon Beijing SPC Environment is expected to under-perform the Hua Xia. In addition to that, Beijing SPC is 1.26 times more volatile than Hua Xia Bank. It trades about -0.02 of its total potential returns per unit of risk. Hua Xia Bank is currently generating about 0.08 per unit of volatility. If you would invest 486.00 in Hua Xia Bank on September 21, 2024 and sell it today you would earn a total of 292.00 from holding Hua Xia Bank or generate 60.08% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Beijing SPC Environment vs. Hua Xia Bank
Performance |
Timeline |
Beijing SPC Environment |
Hua Xia Bank |
Beijing SPC and Hua Xia Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Beijing SPC and Hua Xia
The main advantage of trading using opposite Beijing SPC and Hua Xia positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Beijing SPC position performs unexpectedly, Hua Xia 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 Hua Xia will offset losses from the drop in Hua Xia's long position.Beijing SPC vs. Kweichow Moutai Co | Beijing SPC vs. Contemporary Amperex Technology | Beijing SPC vs. G bits Network Technology | Beijing SPC vs. BYD Co Ltd |
Hua Xia vs. Fujian Rongji Software | Hua Xia vs. Beijing SPC Environment | Hua Xia vs. Dongjiang Environmental Co | Hua Xia vs. Glodon Software Co |
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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
Other Complementary Tools
Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals | |
ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments | |
Crypto Correlations Use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins | |
Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
Pair Correlation Compare performance and examine fundamental relationship between any two equity instruments |