Correlation Between Run Long and Chong Hong
Can any of the company-specific risk be diversified away by investing in both Run Long and Chong Hong 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 Run Long and Chong Hong into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Run Long Construction and Chong Hong Construction, you can compare the effects of market volatilities on Run Long and Chong Hong 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 Run Long with a short position of Chong Hong. Check out your portfolio center. Please also check ongoing floating volatility patterns of Run Long and Chong Hong.
Diversification Opportunities for Run Long and Chong Hong
0.72 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Run and Chong is 0.72. Overlapping area represents the amount of risk that can be diversified away by holding Run Long Construction and Chong Hong Construction in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chong Hong Construction and Run Long 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 Run Long Construction are associated (or correlated) with Chong Hong. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Chong Hong Construction has no effect on the direction of Run Long i.e., Run Long and Chong Hong go up and down completely randomly.
Pair Corralation between Run Long and Chong Hong
Assuming the 90 days trading horizon Run Long Construction is expected to under-perform the Chong Hong. In addition to that, Run Long is 2.3 times more volatile than Chong Hong Construction. It trades about -0.1 of its total potential returns per unit of risk. Chong Hong Construction is currently generating about -0.13 per unit of volatility. If you would invest 12,950 in Chong Hong Construction on October 20, 2024 and sell it today you would lose (4,910) from holding Chong Hong Construction or give up 37.92% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Run Long Construction vs. Chong Hong Construction
Performance |
Timeline |
Run Long Construction |
Chong Hong Construction |
Run Long and Chong Hong Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Run Long and Chong Hong
The main advantage of trading using opposite Run Long and Chong Hong positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Run Long position performs unexpectedly, Chong Hong 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 Chong Hong will offset losses from the drop in Chong Hong's long position.Run Long vs. Highwealth Construction Corp | Run Long vs. Chong Hong Construction | Run Long vs. Farglory Land Development | Run Long vs. Huaku Development Co |
Chong Hong vs. Huaku Development Co | Chong Hong vs. Farglory Land Development | Chong Hong vs. Highwealth Construction Corp | Chong Hong vs. Ruentex Development 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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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