Correlation Between Ching Feng and Hsin Ba
Can any of the company-specific risk be diversified away by investing in both Ching Feng and Hsin Ba 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 Ching Feng and Hsin Ba into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ching Feng Home and Hsin Ba Ba, you can compare the effects of market volatilities on Ching Feng and Hsin Ba 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 Ching Feng with a short position of Hsin Ba. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ching Feng and Hsin Ba.
Diversification Opportunities for Ching Feng and Hsin Ba
0.37 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Ching and Hsin is 0.37. Overlapping area represents the amount of risk that can be diversified away by holding Ching Feng Home and Hsin Ba Ba in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hsin Ba Ba and Ching Feng 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 Ching Feng Home are associated (or correlated) with Hsin Ba. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hsin Ba Ba has no effect on the direction of Ching Feng i.e., Ching Feng and Hsin Ba go up and down completely randomly.
Pair Corralation between Ching Feng and Hsin Ba
Assuming the 90 days trading horizon Ching Feng Home is expected to generate 0.86 times more return on investment than Hsin Ba. However, Ching Feng Home is 1.16 times less risky than Hsin Ba. It trades about 0.22 of its potential returns per unit of risk. Hsin Ba Ba is currently generating about -0.17 per unit of risk. If you would invest 2,975 in Ching Feng Home on November 7, 2024 and sell it today you would earn a total of 220.00 from holding Ching Feng Home or generate 7.39% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Ching Feng Home vs. Hsin Ba Ba
Performance |
| Timeline |
| Ching Feng Home |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
| Hsin Ba Ba |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Ching Feng and Hsin Ba Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Ching Feng and Hsin Ba
The main advantage of trading using opposite Ching Feng and Hsin Ba positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ching Feng position performs unexpectedly, Hsin Ba 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 Hsin Ba will offset losses from the drop in Hsin Ba's long position.The idea behind Ching Feng Home and Hsin Ba Ba pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.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 Portfolio Center module to all portfolio management and optimization tools to improve performance of your portfolios.
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