Correlation Between Ping An and Nancal Energy
Specify exactly 2 symbols:
By analyzing existing cross correlation between Ping An Insurance and Nancal Energy Saving Tech, you can compare the effects of market volatilities on Ping An and Nancal Energy 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 Ping An with a short position of Nancal Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ping An and Nancal Energy.
Diversification Opportunities for Ping An and Nancal Energy
0.66 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Ping and Nancal is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding Ping An Insurance and Nancal Energy Saving Tech in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nancal Energy Saving and Ping An 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 Ping An Insurance are associated (or correlated) with Nancal Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nancal Energy Saving has no effect on the direction of Ping An i.e., Ping An and Nancal Energy go up and down completely randomly.
Pair Corralation between Ping An and Nancal Energy
Assuming the 90 days trading horizon Ping An Insurance is expected to generate 0.45 times more return on investment than Nancal Energy. However, Ping An Insurance is 2.2 times less risky than Nancal Energy. It trades about 0.09 of its potential returns per unit of risk. Nancal Energy Saving Tech is currently generating about 0.0 per unit of risk. If you would invest 4,313 in Ping An Insurance on September 1, 2024 and sell it today you would earn a total of 1,012 from holding Ping An Insurance or generate 23.46% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Ping An Insurance vs. Nancal Energy Saving Tech
Performance |
Timeline |
Ping An Insurance |
Nancal Energy Saving |
Ping An and Nancal Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ping An and Nancal Energy
The main advantage of trading using opposite Ping An and Nancal Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ping An position performs unexpectedly, Nancal Energy 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 Nancal Energy will offset losses from the drop in Nancal Energy's long position.Ping An vs. Industrial and Commercial | Ping An vs. China Construction Bank | Ping An vs. Bank of China | Ping An vs. Agricultural Bank of |
Nancal Energy vs. Cultural Investment Holdings | Nancal Energy vs. Gome Telecom Equipment | Nancal Energy vs. Bus Online Co | Nancal Energy vs. Holitech Technology 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 Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
Other Complementary Tools
Theme Ratings Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
Bollinger Bands Use Bollinger Bands indicator to analyze target price for a given investing horizon | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
Investing Opportunities Build portfolios using our predefined set of ideas and optimize them against your investing preferences |