Correlation Between Postal Savings and Guangxi Wuzhou
Specify exactly 2 symbols:
By analyzing existing cross correlation between Postal Savings Bank and Guangxi Wuzhou Communications, you can compare the effects of market volatilities on Postal Savings and Guangxi Wuzhou 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 Postal Savings with a short position of Guangxi Wuzhou. Check out your portfolio center. Please also check ongoing floating volatility patterns of Postal Savings and Guangxi Wuzhou.
Diversification Opportunities for Postal Savings and Guangxi Wuzhou
0.53 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Postal and Guangxi is 0.53. Overlapping area represents the amount of risk that can be diversified away by holding Postal Savings Bank and Guangxi Wuzhou Communications in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Guangxi Wuzhou Commu and Postal Savings 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 Postal Savings Bank are associated (or correlated) with Guangxi Wuzhou. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Guangxi Wuzhou Commu has no effect on the direction of Postal Savings i.e., Postal Savings and Guangxi Wuzhou go up and down completely randomly.
Pair Corralation between Postal Savings and Guangxi Wuzhou
Assuming the 90 days trading horizon Postal Savings is expected to generate 6.58 times less return on investment than Guangxi Wuzhou. But when comparing it to its historical volatility, Postal Savings Bank is 3.37 times less risky than Guangxi Wuzhou. It trades about 0.22 of its potential returns per unit of risk. Guangxi Wuzhou Communications is currently generating about 0.43 of returns per unit of risk over similar time horizon. If you would invest 388.00 in Guangxi Wuzhou Communications on September 27, 2024 and sell it today you would earn a total of 182.00 from holding Guangxi Wuzhou Communications or generate 46.91% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Postal Savings Bank vs. Guangxi Wuzhou Communications
Performance |
Timeline |
Postal Savings Bank |
Guangxi Wuzhou Commu |
Postal Savings and Guangxi Wuzhou Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Postal Savings and Guangxi Wuzhou
The main advantage of trading using opposite Postal Savings and Guangxi Wuzhou positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Postal Savings position performs unexpectedly, Guangxi Wuzhou 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 Guangxi Wuzhou will offset losses from the drop in Guangxi Wuzhou's long position.Postal Savings vs. CICT Mobile Communication | Postal Savings vs. Railway Signal Communication | Postal Savings vs. Zhongtong Guomai Communication | Postal Savings vs. State Grid InformationCommunication |
Guangxi Wuzhou vs. Kweichow Moutai Co | Guangxi Wuzhou vs. NAURA Technology Group | Guangxi Wuzhou vs. Zhejiang Orient Gene | Guangxi Wuzhou vs. APT Medical |
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 USA ETFs module to find actively traded Exchange Traded Funds (ETF) in USA.
Other Complementary Tools
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
Pair Correlation Compare performance and examine fundamental relationship between any two equity instruments | |
Odds Of Bankruptcy Get analysis of equity chance of financial distress in the next 2 years | |
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk |