Correlation Between New Generation and Hong Yuan
Can any of the company-specific risk be diversified away by investing in both New Generation and Hong Yuan at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining New Generation and Hong Yuan into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between New Generation Consumer and Hong Yuan Holding, you can compare the effects of market volatilities on New Generation and Hong Yuan 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 New Generation with a short position of Hong Yuan. Check out your portfolio center. Please also check ongoing floating volatility patterns of New Generation and Hong Yuan.
Diversification Opportunities for New Generation and Hong Yuan
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between New and Hong is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding New Generation Consumer and Hong Yuan Holding in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hong Yuan Holding and New Generation 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 New Generation Consumer are associated (or correlated) with Hong Yuan. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hong Yuan Holding has no effect on the direction of New Generation i.e., New Generation and Hong Yuan go up and down completely randomly.
Pair Corralation between New Generation and Hong Yuan
Given the investment horizon of 90 days New Generation is expected to generate 9.05 times less return on investment than Hong Yuan. But when comparing it to its historical volatility, New Generation Consumer is 2.11 times less risky than Hong Yuan. It trades about 0.04 of its potential returns per unit of risk. Hong Yuan Holding is currently generating about 0.15 of returns per unit of risk over similar time horizon. If you would invest 5.00 in Hong Yuan Holding on December 23, 2024 and sell it today you would lose (0.56) from holding Hong Yuan Holding or give up 11.2% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 96.83% |
Values | Daily Returns |
New Generation Consumer vs. Hong Yuan Holding
Performance |
Timeline |
New Generation Consumer |
Hong Yuan Holding |
New Generation and Hong Yuan Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with New Generation and Hong Yuan
The main advantage of trading using opposite New Generation and Hong Yuan positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if New Generation position performs unexpectedly, Hong Yuan 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 Hong Yuan will offset losses from the drop in Hong Yuan's long position.New Generation vs. Xtra Energy Corp | New Generation vs. Arsenal Digital Holdings | New Generation vs. UHF Logistics Group | New Generation vs. XCana Petroleum |
Hong Yuan vs. New Generation Consumer | Hong Yuan vs. Fbc Hldg | Hong Yuan vs. AVVAA World Health | Hong Yuan vs. IFAN Financial |
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 FinTech Suite module to use AI to screen and filter profitable investment opportunities.
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