Correlation Between Kuo Yang and Healthconn Corp
Can any of the company-specific risk be diversified away by investing in both Kuo Yang and Healthconn Corp 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 Kuo Yang and Healthconn Corp into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kuo Yang Construction and Healthconn Corp, you can compare the effects of market volatilities on Kuo Yang and Healthconn Corp 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 Kuo Yang with a short position of Healthconn Corp. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kuo Yang and Healthconn Corp.
Diversification Opportunities for Kuo Yang and Healthconn Corp
0.33 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Kuo and Healthconn is 0.33. Overlapping area represents the amount of risk that can be diversified away by holding Kuo Yang Construction and Healthconn Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Healthconn Corp and Kuo Yang 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 Kuo Yang Construction are associated (or correlated) with Healthconn Corp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Healthconn Corp has no effect on the direction of Kuo Yang i.e., Kuo Yang and Healthconn Corp go up and down completely randomly.
Pair Corralation between Kuo Yang and Healthconn Corp
Assuming the 90 days trading horizon Kuo Yang Construction is expected to generate 0.86 times more return on investment than Healthconn Corp. However, Kuo Yang Construction is 1.16 times less risky than Healthconn Corp. It trades about -0.02 of its potential returns per unit of risk. Healthconn Corp is currently generating about -0.21 per unit of risk. If you would invest 2,290 in Kuo Yang Construction on September 26, 2024 and sell it today you would lose (60.00) from holding Kuo Yang Construction or give up 2.62% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Kuo Yang Construction vs. Healthconn Corp
Performance |
Timeline |
Kuo Yang Construction |
Healthconn Corp |
Kuo Yang and Healthconn Corp Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kuo Yang and Healthconn Corp
The main advantage of trading using opposite Kuo Yang and Healthconn Corp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kuo Yang position performs unexpectedly, Healthconn Corp 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 Healthconn Corp will offset losses from the drop in Healthconn Corp's long position.Kuo Yang vs. Hung Sheng Construction | Kuo Yang vs. Chainqui Construction Development | Kuo Yang vs. BES Engineering Co | Kuo Yang vs. Long Bon International |
Healthconn Corp vs. Fubon Financial Holding | Healthconn Corp vs. Accton Technology Corp | Healthconn Corp vs. Lian Hwa Foods | Healthconn Corp vs. Lungyen Life Service |
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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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